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Research and Testbeds in
Cyber-Physical Systems
Bob Marcus
Co-Chair NIST Big Data PWG
robert.marcus@et-strategies.com
Caveat: This is a rough first cut and will be revised extensively!
Tuesday, October 18, 16
Key Points on CPS Research and Testbeds- Initial Thoughts
• IoT and CPS are an active area of research including topics such as Semantic
Interoperability, Cognitive Processing, IoT to Cloud Architectures, Security and Privacy
Support, and System of System Design Tools.
• This research is still at an early stage but will probably accelerate as the challenges of
large-scale CPS become increasingly visible
• Testbeds play a valuable role in evaluating new technology for CPS
• Collaborative research and testbed initiatives are necessary to address the many issues
in creating robust CPS systems (e.g. Smart City).
Tuesday, October 18, 16
Outline of Research and Testbeds
• Research
• NSF Research
• Testbeds
• Industrial Internet Consortium Testbeds
Tuesday, October 18, 16
Research
Tuesday, October 18, 16
ICT 30 Research Projects from EU
From http://tinyurl.com/hvckvfn
Tuesday, October 18, 16
Research Needs from IERC
From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf
Tuesday, October 18, 16
Research Needs from IERC continued
From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf
Tuesday, October 18, 16
Research Needs from IERC continued
From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf
Tuesday, October 18, 16
Research Needs from IERC continued
From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf
Tuesday, October 18, 16
Research Needs from IERC continued
From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf
Tuesday, October 18, 16
Research Needs from IERC continued
From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf
Tuesday, October 18, 16
Research Needs from IERC continued
From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf
Tuesday, October 18, 16
Research Needs from IERC continued
From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf
Tuesday, October 18, 16
Research Needs from IERC continued
From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf
Tuesday, October 18, 16
Research Needs from IERC continued
From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf
Tuesday, October 18, 16
Research Needs from IERC continued
From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf
Tuesday, October 18, 16
Research Needs from IERC continued
From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf
Tuesday, October 18, 16
Promising CPS Research Directions from Edward Lee
From citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.84.8011&rep=rep1&type=pdf
• Putting “time” into programming languages.
• Rethinking the OS/programming language split
• Rethink the hardware/software split
• Memory hierarchy with predictability.
• Memory management with predictability
• Predictable, controllable deep pipelines
• Predictable, controllable, understandable concurrency
• Concurrent components
• Networks with timing
• Computational dynamical systems theory
Tuesday, October 18, 16
IoTCloud Architecure from Indiana University
From grids.ucs.indiana.edu/ptliupages/publications/intelligent_iot_cloud_controller.pdf
ROS = Robot Operating System
See ros.org
Tuesday, October 18, 16
IoTCloud++ Architecure from Indiana University
From grids.ucs.indiana.edu/ptliupages/publications/intelligent_iot_cloud_controller.pdf
ROS = Robot Operating System
See ros.org
Tuesday, October 18, 16
Intelligent Knowledge as a Service (iKaaS) Project
From http://www.slideshare.net/DrIngAbdurRahimBiswa/internet-of-things-iot-is-a-king-big-data-is-a-queen-and-cloud-is-a-palace
Tuesday, October 18, 16
NSF CPS Research Projects
Tuesday, October 18, 16
Research Areas from US National Science Foundation
From http://ontolog.cim3.net/file/work/OntologySummit2015/2015-04-13_14_OntologySummit2015_Symposium/CPS-IOT--KeithMarzullo_2015-04-13.pptx
Tuesday, October 18, 16
Some Examples of NSF Research Projects
• Foundations Of Resilient CybEr-physical Systems (FORCES)
• Monitoring Techniques for Safety Critical Cyber-Physical Systems
• Computationally Aware Cyber-Physical Systems
• Security and Privacy-Aware Cyber-Physical Systems
• Thermal-Aware Management of Cyber-Physical Systems
From http://tinyurl.com/hjl6tlz
Tuesday, October 18, 16
Foundations Of Resilient CybEr-physical Systems from NSF
From https://www.cps-forces.org/about.htm
The NSF project Foundations Of Resilient CybEr-physical Systems (FORCES) focuses on the resilient
design of large-scale networked CPS systems that directly interface with humans. FORCES aims to
provide comprehensive tools that allow the CPS designers and operators to combine resilient control
(RC) algorithms with economic incentive (EI) schemes.
The project is developing RC tools to withstand a wide-range of attacks and faults; learning and control
algorithms which integrate human actions with spatio-temporal and hybrid dynamics of networked CPS
systems; and model-based design to assure semantically consistent representations across all branches of
the project. Operations of networked CPS systems naturally depend on the systemic social institutions
and the individual deployment choices of the humans who use and operate them.The presence of
incomplete and asymmetric information among these actors leads to a gap between the individually and
socially optimal equilibrium resiliency levels.The project is developing EI schemes to reduce this gap.The
core contributions of the FORCES team, which includes experts in control systems, game theory, and
mechanism design, are the foundations for the co-design of RC and EI schemes and technological tools
for implementing them.
Resilient CPS infrastructure is a critical National Asset. FORCES is contributing to the development of
new Science of CPS by being the first project that integrates networked control with game theoretic
tools and economic incentives of human decision makers for resilient CPS design and operation.The
FORCES integrated co-design philosophy is being validated on two CPS domains: electric power
distribution and consumption, and transportation networks.These design prototypes are being tested in
real world scenarios.The teams research efforts are being complemented by educational offerings on
resilient CPS targeted to a large and diverse audience.
Tuesday, October 18, 16
Monitoring Techniques for Safety Critical CPS from NSF
From http://robotics.ece.uic.edu/index.php/research/fail-safe-robots/cps-project
CPS now is a new emerging research area that include a wide range of related disciplines with different
approaches, methods, tools and experimental platforms.This project is looking into one of the branch in
this broad area: Monitoring.
The growing complexity of modern engineered systems,and their increased reliance on computation,
calls for novel approaches to guaranteeing their correct functioning.This is especially important for
automotive systems where a failure can have catastrophic consequences.
One way to ensure correctness of a complex system is to thoroughly test and/or verify it.While testing
can increase confidence in a component, it can not guarantee correctness.Verification, on the other
hand, can guarantee correctness, but it is simply not feasible, for example, for a car with advanced engine
controls and numerous networked microprocessors. In other cases, the component might have been
verified for correctness on a model which was not accurate. And more importantly, even if a component
is found to be defective through verification,we may still want to use it if the incorrect behavior only
occurs rarely.
Runtime monitoring of the behavior of a component is an approach that can complement testing and
verification. It can provide another layer of safety to the operation of the system.The monitor observes
the inputs and outputs of the component and checks whether the behavior of the system is consistent
with the expected behavior. Monitors can be especially useful if a fail-safe shut down procedures can be
developed, which is true for abroad class of systems.We propose that monitor design be separate from
the system design and be performed after the design of the system by a different set of designers.The
fundamental advantage of monitors is that they are in principle easy to design and implement, and they
do not fundamentally constrain the design of a component. Such two layer approach ensures that
incorrect behaviors, due to potential faulty component designs, are detected by the monitor and are
acted upon.
Tuesday, October 18, 16
Computationally Aware Cyber-Physical Systems from NSF
From http://nsf.gov/awardsearch/showAward?AWD_ID=1544396
The objective of this work is to generate new fundamental science that enables the operation of cyber-physical
systems through complex environments. Predicting how a system will behave in the future requires more
computing power if that system is complex. Navigating through environments with many obstacles could require
significant computing time, which may delay the issue of decisions that have to be made by the on-board
algorithms. Fortunately, systems do not always need the most accurate model to predict their behavior.This
project develops new theory for deciding between the best model to use when making a decision in real time.The
approach involves switching between different predictive models of the system, depending on the computational
burden of the associated controller, and the accuracy that the predictive model provides.These tools will pave the
way for more kinds of aircraft to navigate closely and safely with one another through the National Air Space
(NAS), including Unmanned Air Systems (UAS).
The results from this project will enable more accurate and faster trajectory synthesis for controllers with
nonlinear plants, or nonlinear constraints that encode obstacles.The approach utilizes hybrid control to switch
between models whose accuracy is normalized by their computational burden of predictive control methods.This
synergistic approach enables computationally-aware cyber-physical systems (CPSs), in which model accuracy can
be jointly considered with computational requirements.The project advances the knowledge on modeling,
analysis, and design of CPSs that utilize predictive methods for trajectory synthesis under constraints in real-time
cyber-physical systems.
The results will include methods for the design of algorithms that adapt to the computational limitations of
autonomous and semi-autonomous systems while satisfying stringent timing and safety requirements.With these
methods come new tools to account for computational capabilities in real-time, and new hybrid feedback
algorithms and prediction schemes that exploit computational capabilities to arrive at more accurate predictions
within the time constraints.The algorithms will be modeled in terms of hybrid dynamical systems, to guarantee
dynamical properties of interest.The problem space will draw from models of UAS in the NAS.
Tuesday, October 18, 16
Security and Privacy-Aware Cyber-Physical Systems from NFS
From http://nsf.gov/awardsearch/showAward?AWD_ID=1505799
Security and privacy concerns in the increasingly interconnected world are receiving much attention from the research
community, policymakers, and general public. However, much of the recent and on-going efforts concentrate on security of
general-purpose computation and on privacy in communication and social interactions.The advent of cyber-physical systems
(e.g., safety-critical IoT), which aim at tight integration between distributed computational intelligence, communication
networks, physical world, and human actors, opens new horizons for intelligent systems with advanced capabilities.These
systems may reduce number of accidents and increase throughput of transportation networks, improve patient safety,
mitigate caregiver errors, enable personalized treatments, and allow older adults to age in their places.At the same time,
cyber-physical systems introduce new challenges and concerns about safety, security, and privacy.The proposed project will
lead to safer, more secure and privacy preserving CPS.As our lives depend more and more on these systems, specifically in
automotive, medical, and Internet-of-Things domains, results obtained in this project will have a direct impact on the society
at large.The study of emerging legal and ethical aspects of large-scale CPS deployments will inform future policy decision-
making.The educational and outreach aspects of this project will help us build a workforce that is better prepared to address
the security and privacy needs of the ever-more connected and technologically oriented society.
Cyber-physical systems (CPS) involve tight integration of computational nodes, connected by one or more communication
networks, the physical environment of these nodes, and human users of the system, who interact with both the
computational part of the system and the physical environment.Attacks on a CPS system may affect all of its components:
computational nodes and communication networks are subject to malicious intrusions, and physical environment may be
maliciously altered. CPS-specific security challenges arise from two perspectives. On the one hand, conventional information
security approaches can be used to prevent intrusions, but attackers can still affect the system via the physical environment.
Resource constraints, inherent in many CPS domains, may prevent heavy-duty security approaches from being deployed.This
proposal will develop a framework in which the mix of prevention, detection and recovery, and robust techniques work
together to improve the security and privacy of CPS. Specific research products will include techniques providing: 1)
accountability-based detection and bounded-time recovery from malicious attacks to CPS, complemented by novel preventive
techniques based on lightweight cryptography; 2) security-aware control design based on attack resilient state estimator and
sensor fusions; 3) privacy of data collected and used by CPS based on differential privacy; and, 4) evidence-based framework
for CPS security and privacy assurance, taking into account the operating context of the system and human factors. Case
studies will be performed in applications with autonomous features of vehicles, internal and external vehicle networks,
medical device interoperability, and smart connected medical home.
Tuesday, October 18, 16
Thermal-Aware Management of Cyber-Physical Systems from NSF
From http://www.nsf.gov/awardsearch/showAward?AWD_ID=1329831
Processors in cyber-physical systems are increasingly being used in applications where they must operate
in harsh ambient conditions and a computational workload which can lead to high chip temperatures.
Examples include cars, robots, aircraft and spacecraft. High operating temperatures accelerate the aging of
the chips, thus increasing transient and permanent failure rates. Current ways to deal with this mostly
turn off the processor core or drastically slow it down when some part of it is seen to exceed a given
temperature threshold. However, this pass/fail approach ignores the fact that (a) processors experience
accelerated aging due to high temperatures, even if these are below the threshold, and (b) while deadlines
are a constraint for real-time tasks to keep the controlled plant in the allowed state space, the actual
controller response times that will increase if the voltage or frequency is lowered (to cool down the chip)
are what determine the controlled plant performance. Existing approaches also fail to exploit the tradeoff
between controller reliability (affected by its temperature history) and the performance of the plant.This
project addresses these issues. Load-shaping algorithms are being devised to manage thermal stresses
while ensuring appropriate levels of control quality. Such actions include task migration, changing
execution speed, selecting an alternative algorithm or software implementation of control functions, and
terminating prematurely optional portions of iterative tasks.Validation platforms for this project include
automobiles and unmanned aerial vehicles.These platforms have been chosen based on both their
importance to society and the significant technical challenges they pose.
With CPS becoming ever more important in our lives and businesses, this project which will make CPS
controllers more reliable and/or economical has broad potential social and economic impacts.
Collaboration with General Motors promotes transition of the new technology to industry.The project
includes activities to introduce students to thermal control in computing, in courses spanning high-
school, undergraduate and graduate curricula.
Tuesday, October 18, 16
Internet of Bio-Nano Things (IoBNT): Cells as Devices
From hwww2.ece.gatech.edu/research/labs/bwn/papers/2015/j3.pdf
Tuesday, October 18, 16
Internet of Nano-Things
From citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.637.3319&rep=rep1&type=pdf
Tuesday, October 18, 16
Testbeds
Tuesday, October 18, 16
NIST Smart Grid and CPS Testbed
From www.nist.gov/smartgrid/upload/Smart-Grid-Testbed-Update.pdf
Tuesday, October 18, 16
Public IoT Testbeds
From https://hal.inria.fr/inria-00630092/document
Tuesday, October 18, 16
IoT Testbeds with Interesting Features
From https://hal.inria.fr/inria-00630092/document
Tuesday, October 18, 16
Typical IoT Testbed Architectures
From https://hal.inria.fr/inria-00630092/document
Tuesday, October 18, 16
CloudMesh: Cloud Testbeds as A Service (CTaaS
From http://cloudmesh.github.io/cloudmesh.html
Tuesday, October 18, 16
Federated Interoperable Semantic IoT Testbeds(FIESTA-IoT)
From http://fiesta-iot.eu/fiesta-testbeds/
Tuesday, October 18, 16
Korean KETI Project for FIESTA-IoT
From http://jseungsong.weebly.com/research.html
EU Horizon 2020: FIESTA project
Period: 2015.02 ~ 2018.01 (36 months)
Members: KETI (together with Sejong University), NEC Europe Ltd., Fraunhofer,
University of Surrey, etc. 
Project coordinator: Prof. Song JaeSeung (Korea side)
FIESTA will be validated and evaluated based on the interconnection of four
testbeds (in Spain, UK, France and Korea), as well as based on the execution of
novel experiments in the areas of mobile crowd-sensing, IoT applications
portability, and dynamic intelligent discovery of IoT resources. In order to achieve
global outreach and maximum impact, FIESTA will integrate an additional testbed
and experiments from Korea, while it will also collaborate with IoT experts from
USA.The participation of a Korean partner (based its own funding) will maximize
FIESTA’s value for EC money. Moreover, the project will take advantage of open
calls processes towards attracting third-parties that will engage in the integration
of their platforms within FIESTA or in the conduction of added-value experiments.
As part of its sustainability strategy, FIESTA will establish a global market
confidence programme for IoT interoperability, which will enable innovative
platform providers and solution integrators to ensure/certify the openness and
interoperability of their developments.
Tuesday, October 18, 16
SmartSantander Testbed in Spain
From http://www.smartsantander.eu/
Tuesday, October 18, 16
Network Architecture for Smart Campus Testbed in UK
From http://www.smartsantander.eu/downloads/Presentations/gws13.pdf
Tuesday, October 18, 16
4G/LTE Core/IMS/M2M Testbed in France
From http://www.etsi.org/plugtests/COAP2/Presentations/04_Com4Innov-ETSI%20CoAP.pdf
Tuesday, October 18, 16
Lab of Things from Microsoft Research
From http://www.lab-of-things.com/
Tuesday, October 18, 16
Home OS and HomeStore from Microsoft Research
From http://www.zdnet.com/article/microsofts-homestore-home-automation-with-an-iphone-inspired-twist/
and http://research.microsoft.com/pubs/136890/hotnets2010-homeos.pdf
Tuesday, October 18, 16
Industrial Internet Consortium Testbeds
Tuesday, October 18, 16
Testbeds from Industrial Internet Consortium (IIC)
From http://www.iiconsortium.org/test-beds.htm
Tuesday, October 18, 16
Asset Efficiency Testbed from IIC
From http://www.iiconsortium.org/asset-efficiency.htm
Many industries have assets that are critical to their business processes.Availability and
efficiency of these assets directly impact service and business. Using predictive analytics, the
Asset Efficiency Testbed aims to collect real-time asset information efficiently and
accurately and run analytics to make the right decisions in terms of operations, maintenance,
overhaul and asset replacement. Infosys, a member of the Industrial Internet Consortium, is
leading this project, with contribution from Consortium members Bosch, GE, IBM, Intel,
National Instruments and PTC.
Asset Efficiency is a vertical testbed, making it possible for the testbed to be applied to multiple
solutions.The testbed will launch in two phases. In the first phase, the testbed will be created
for a moving solution, in this case, aircraft landing gear.The focus of this phase will be on the
creation of stack and the integration of technologies. In the second phase, the testbed will
address fixed assets, like chillers, with the goals of finalizing the architecture and opening up the
interfaces.
The Asset Efficiency Testbed monitors, controls and optimizes the assets holistically taking into
consideration operational, energy, maintenance, service, and information efficiency and enhance
their performance utilization.The Asset Efficiency Testbed offers numerous benefits including:
Condition Monitoring that helps in determining an optimal maintenance schedule, the reduction
in downtime thus improving overall productivity of assets, reduction in capital and operational
expenditures, and efficient energy utilization.
Tuesday, October 18, 16
Condition Monitoring and Predictive MaintenanceTestbed from IIC
From http://www.iiconsortium.org/cm-pm.htm
Many industries have assets that are critical to their business processes.Availability and
The Condition Monitoring and Predictive Maintenance Testbed (CM/PM) will
demonstrate the value and benefits of continuously monitoring industrial equipment to detect
early signs of performance degradation or failure. CM/PM will also use modern analytical
technologies to allow organizations to not only detect problems but proactively recommend
actions for operations and maintenance personnel to correct the problem. 
Condition Monitoring (CM) is the use of sensors in equipment to gather data and enable
users to centrally monitor the data in real-time. Predictive Maintenance (PM) applies
analytical models and rules against the data to proactively predict an impending issue; then deliver
recommendations to operations, maintenance and IT departments to address the issue.These
capabilities enable new ways to monitor the operation of the equipment - such as turbines and
generators - and processes and to adopt proactive maintenance and repair procedures rather than
fixed schedule-based procedures, potentially saving money on maintenance and repair, and saving
cost and lost productivity of downtime caused by equipment failures. Furthermore, combining
sensor data from multiple pieces of equipment and/or multiple processes can provide deeper
insight into the overall impact of faulty or sub-optimal equipment, allowing organizations to identify
and resolve problems before they impact operations and improve the quality and efficiency of
industrial processes. 
Through this testbed, the testbed leaders IBM and National Instruments will explore the
application of a variety of analytics technologies for condition monitoring and predictive
maintenance.The testbed application will initially be deployed to a power plant facility where
performance and progress will be reported on, additional energy equipment will be added and new
models will be developed. It will then be expanded to adjacent, as yet to be determined, industries. 
Tuesday, October 18, 16
Connected Care Testbed from IIC
From http://www.iiconsortium.org/connected-care.htm
A substantial opportunity exists here to reduce the cost of chronic health management for
patients.Advances in technology minimization and integration, networking access of medical
devices and preponderance of personal smart devices make IoT technology particularly well
suited to address this problem.
The Testbed will provide an ecosystem of tools that can provide:
• Improved patient health and reduced hospital readmissions
• Provide patient, family and caregivers involvement and access to patient health
• Enable patients to live at home while under managed care
• Enable health care providers to improve patient adherence to prescribed treatments
Tuesday, October 18, 16
Edge Intelligence Testbed from IIC
From http://www.iiconsortium.org/edge-intelligence.htm
Many emerging industrial IoT applications require coordinated, real-time analytics at the "edge",
using algorithms that require a scale of computation and data volume/velocity previously seen
only in the data center. Frequently, the networks connecting these machines do not provide
sufficient capability, bandwidth, reliability, or cost structure to enable analytics-based control or
coordination algorithms to run in a separate location from the machines.
Industrial Internet Consortium members Hewlett-Packard and Real-Time Innovation have
joined together on the Edge Intelligence Testbed. The primary objective of the Edge
Intelligence Testbed is to significantly accelerate the development of edge architectures and
algorithms by removing the barriers that many developers face: access to a wide variety of
advanced compute hardware and software configurable to directly resemble state-of-the-art edge
systems at very low cost to the tester/developer.
Tuesday, October 18, 16
Factory Automation (FA) PaaS Testbed from IIC
From http://www.iiconsortium.org/fa-paas.htm
This testbed facilitates development of FA applications by providing a service-based
platform with pre-integrated environment across factory automation (OT) and IT
platform (IT).
It includes IoT data processing platform that processes Big Data, IoT head end system,
and IoT gateway that securely connects the service platform layer with FA environment,
and FA edge device that provides functions unique to FA applications, and which also
enable communications with FA devices in the field of factories. In addition, the advantage
of IoT platform tested in this testbed is interoperability between FA environment, IoT
gateways and IoT data processing platform and accelerates application development for
next-generation factory by making available of integrated environment between FA
environment and service platform layer.
Tuesday, October 18, 16
Factory OperationsVisibility & Intelligence (FOVI)Testbed from IIC
From http://www.iiconsortium.org/fovi.htm
The Factory OperationsVisibility & Intelligence (FOVI) Testbed makes it possible to simulate a
factory environment in order to visualize results that can then be used to determine how the
process can be optimized.
The work on FOVI stems from two separate OperationsVisibility and Intelligence applications
in two factories in Japan: one for notebook computers and another for network appliances.
Both use cases have a lot in common with respect to processing data, analytics, and visualization
technologies. Ideally they should use a common software foundation while their future evolution
requires a more open architecture.
Work on the testbed will be led by Industrial Internet Consortium member Fujitsu Limited
with Industrial Internet Consortium founding member, Cisco, collaborating on the in-factory
testbed edge infrastructure.
Tuesday, October 18, 16
High Speed Network Testbed from IIC
From http://www.iiconsortium.org/high-speed-network.htm
The High-Speed Network Infrastructure testbed will introduce high-speed fiber optic lines to
support Industrial Internet initiatives.The network will transfer data at 100 gigabits per second
to support seamless machine-2-machines communications and data transfer across connected
control systems, big infrastructure products, and manufacturing plants.
The 100 gigabit capability extends to the wireless edge, allowing the testbed leaders to provide
more data and analytical results to mobile users through advanced communication techniques.
Industrial Internet Consortium founder, GE, is leading efforts by installing the networking lines at
its Global Research Center. Cisco - also a founder of the Consortium - contributed its
expertise to the project by providing the infrastructure needed to give the network its national
reach. Industrial Internet Consortium members Accenture and Bayshore Networks are
currently demonstrating the application of the High-Speed Network Infrastructure for power
generation.
Tuesday, October 18, 16
Industrial Digital Thread Testbed from IIC
From http://www.iiconsortium.org/industrial-digital-thread.htm
The Industrial Digital Thread (IDT) testbed drives efficiency, speed, and flexibility
through digitization and automation of manufacturing processes and procedures. Beginning at
design, the seamless digital integration of design systems into manufacturing, leveraging the
model-based enterprise, helps to enable virtual manufacturing before even one physical part is
created. Sensor enabled automation, manufacturing processes, procedures, and machine data will
enable optimization in operations and supply chain. Once the manufacturing process is
complete, the digital ‘birth certificate’ (as built-signature) can then be compared to the as-
designed engineering intention.This provides the opportunity for powerful big data analytics to
enable service teams and field engineers to have better awareness, insights, and practical actions
to improve the servicing and maintenance of critical assets.
The Industrial Digital Thread is a complex and comprehensive concept and it will be
implemented in multiple phases. Phase 1 focuses on assembling the software stack, establishing
the architecture and connectivity, and addressing one use case around premature wear. In
subsequent phases, this testbed will be able to support multiple use cases in design,
manufacturing, services and supply-chain optimization.At this time, additional members will be
invited to join.
Tuesday, October 18, 16
International Future Industrial Internet Testbed from IIC
From http://www.iiconsortium.org/infinite.htm
The goal of the International Future Industrial Internet Testbed (INFINITE) is to develop
software-defined infrastructures to drive the growth of Industrial Internet products and
services. INFINITE uses Big Data to not only create completely virtual domains with Software-
Defined Networking, but it also makes it possible for multiple virtual domains to securely run
via one physical network - thus making it ideal for use in mission critical systems. Even more
interesting, INFINITE makes it possible to connect to these virtual domains through mobile
networks.
Industrial Internet Consortium member, EMC Corporation, is leading the INFINITE testbed.
Also contributing their expertise to this project is Industrial Internet Consortium member
Cork Institute of Technology as well asVodafone, the Irish Government Networks,Asavie and
Cork Internet Exchange.
The testbed will unfold in two phases in Ireland. In Phase One, three geographically dispersed
data centers will be interconnected into a reconfigured EMC network. In Phase Two, INFINITE
will be applied to a use case called "Bluelight". Bluelight will allow ambulances to securely
connect to a hospital's system and relay information while in route, so hospital staff are
prepared to take over the care of the patient once the ambulance arrives.
The INFINITE testbed is open to any Industrial Internet Consortium member as well as
interested nonmembers companies who have a concept for an IoT-enabled solution that
requires mobile communication and a dynamic configuration environment.
Tuesday, October 18, 16
Intelligent Urban Water Supply
From http://www.iiconsortium.org/intelligent-urban-water-supply.htm
The testbed will deploy IoT gateways to securely connect the water supply asset (e.g. pressurizing
pumps) to the cloud service platform where advanced analytics will be applied to the operational
data communicated from the assets. The operational insight obtained from the analytics will be
used to drive the water supply domain applications to monitor and provide advanced maintenance
capability, monitor water quality, detect water leakages, reduce energy consumption of
pressurizing pumps and ensure equitable water distributions to the points of consumption during
water peak usage hours and water supply shortages.
Tuesday, October 18, 16
Microgrid Testbed from IIC
From http://www.iiconsortium.org/microgrid.htm
The goal of the Microgrid Communication and Control Testbed is to prove the viability of a
real-time, secure databus to faciliate machine-to-machine, machine-to-control center, and
machine-to-cloud data communications. It will combine distributed, edge-located processing and
control applications with intelligent analytics. It will run in real-world power applications and
interface with practical equipment.
Three Industrial Internet Consortium member organizations will be lending their expertise to
this project: Real-Time Innovations (RTI) is providing the real-time databus software using their
DDS standard based RTI Connext communication platform for IIoT; National Instruments is
providing the intelligent nodes for edge control and analytics based on their CompactRIO and
Grid Automation Systems; and Cisco is providing network equipment and security expertise
using their Connected Grid Router.They will also be collaborating with Duke Energy and the
Standard Grid Interoperability Panel (SGIP) to ensure a coordinated, accepted architecture.
The testbed is unfolding in three phases. In April 2015, Phase One commenced as a proof-of-
concept that ensures basic security and performance. Phase Two - slated for 2016 - will
demonstrate the scalability of the Microgrid Communication and Control Framework in a
simulated environment.The final phase will demonstrate the testbed in a real-world situation.
The first two phases will take place in Westminster, California at Southern California Edison's
Controls Lab
Tuesday, October 18, 16
Precision Crop Management Testbed from IIC
From http://www.iiconsortium.org/precision-crop-management.htm
The Testbed will explore the ability of IoT technology to improve Crop
Management, through increased production (yield), lower operational costs
plus smarter applications of chemicals and fertilizers.The Testbed will focus
on improving crop yield through the analysis of real-time data from a variety
of environmental sensors and other sources of truth located in commercial
crop fields or throughout the enterprise.
Tuesday, October 18, 16
Security Claims Evaluation Testbed from IIC
From http://www.iiconsortium.org/security-claims.htm
The primary objective of the Security Claims Evaluation Testbed is to provide an
open and easily configurable cybersecurity platform for evaluation of endpoint, gateway, and
other networked components’ security capabilities.The testbed will enable participants to
connect their equipment to a system of other endpoints, gateways, etc. to evaluate the
security capabilities of their equipment, interoperability to other devices, and verify the
critical areas of their architecture pattern are secured as outlined in the Industrial Internet
Consortium Reference Architecture.
Industrial Internet Consortium members and non-members have the ability to connect
their equipment to the testbed to evaluate the security of their devices within two
different scenarios; individually on a device level as well as with a system of other
endpoints, gateways, etc.This includes exploration of methodology and collection of
evidence to demonstrate the system operational security processes supporting the key
characteristics of the system relative to evaluation of the participant’s claims.Additionally,
the testbed enables the evaluation of the critical areas of an architecture pattern that need
to be secured as outlined in the Industrial Internet Consortium Reference Architecture.
The testbed will be rolled out in three stages.The first being initial deployment in a lab
environment, second in a micro-factory environment and third phase as determined by the
growth of the testbed.The security testbed phased release approach provides a unique
learning opportunity to evaluate security vulnerabilities at a device level and system level
prior to large scale deployment across many key applications driving the Industrial Internet
of Things (IIoT) / Industry 4.0.
Tuesday, October 18, 16
Sensor to Cloud Connectivity Testbed from IIC
From http://www.iiconsortium.org/press-room/10-12-16.htm
The objective of sensor-to-the-cloud connectivity is to make sensor data available to
information technology (IT) systems in near real time, enabling advanced analytics.This is of
particular interest to operators of existing manufacturing facilities, as it provides them with
opportunities to increase efficiencies, e.g. through reductions in energy consumption. Unlike
new deployments, where the appropriate connectivity may be designed in from the
beginning, smart solutions are required for these "brownfield" installations in order to enable
easy integration at both the operational technology (OT) and the IT level to reduce
downtime and save costs.
The Smart Manufacturing Connectivity for Brownfield Sensors Testbed will:
• Introduce a retrofit hardware solution (the "Y-Gateway") that makes use of existing
physical connectivity
• Extract sensor data from the automation system without impacting operations
• Deliver the sensor data to SAP's IT platform through a secure OT/IT communication
based on OPC UA (IEC 62541)
• Define and implement a common device model based on an available open standard to
allow for the easy integration of an IO-Link sensor with IT, enabling the remote
configuration of the sensor
Tuesday, October 18, 16
Smart Airline Baggage Management Testbed from IIC
From http://www.iiconsortium.org/baggage-management.htm
GE Digital will be contributing the Predix® Cloud platform – already used extensively
in the airline business – to host the platform side of the testbed. Oracle will provide
their airline applications built on the Oracle Airline Data Model (OADM). M2Mi will
provide the M2M and IoT device management, connectivity, data handling and instream
analytics to connect edge devices such as smart luggage, airport baggage trucks,
scanners and beacons to the platform applications.The M2Mi IoT platform will run on
GE Predix and the Oracle Cloud and will also provide policy management and
enforcement, security and encryption to deliver the critical infrastructure to pass data
and alerts to and between the GE and Oracle hosted applications.
The testbed will use a range of Bluetooth, Cellular and WiFi baggage tracking devices.
These will be deployed in smart luggage, permanent and reusable bag tags, airport
luggage carts and across the baggage ecosystem. Phase 1 of the testbed project will:
• Provide a Cloud-based ecosystem to provide connectivity to assets like bags and
passenger and airport/airline equipment.
• Provide end-to-end visibility of bags to the airline, as it is checked-in, dropped and
travels via the baggage carousel, bag trolley, aircraft, connecting airport to the
destination bag-pickup.
• Enable airlines to provide near-real-time view of their bag status to the customers.
Tuesday, October 18, 16
Smart Manufacturing Connectivity Testbed from IIC
From http://www.iiconsortium.org/smart-connectivity.htm
This testbed is essentially about implementing a sensor’s virtual representation at
platform tier level by
1. A hardware component that establishes a separate OT/IT communication to deliver
sensor data to the IT systems and to receive configuration data.
2. The implementation of a common device model based on an open standard that
enables the control and manipulation of the physical device from within the IT
systems.
This testbed uses open standards for the OT/IT communication, the sensor devices and
the common device model:
• IO-Link is standardized as IEC 61131-9:2013 Programmable controllers - Part 9:
Single-drop digital communication interface for small sensors and actuators (SDCI).
• OPC UA is standardized within the IEC 62541 OPC Unified Architecture series.
• The IO Device Description (IODD) is based on ISO 15745-1:2003 Industrial
automation systems and integration – Open systems application integration
framework – Part 1: Generic reference description
As IO-Link is also based on the IODD, there is a consistent device description from the
IT to the sensor level – supported through the semantics-independent data transfer
provided by OPC UA – that allows for the easy configuration of a sensor and the
interoperability with a large range of devices and analytic services.
Tuesday, October 18, 16
Smart Energy Management Testbed from IIC
From http://www.iiconsortium.org/energy-management.htm
he World Economic Forum has identified ‘rising energy costs’ as the sixth highest
economic risk. It is a bigger risk in Asia. Ever-increasing population,
overconsumption and poor infrastructure result in increases in energy demand.
Organizations need to be cognizant of this fact and ensure that they keep their
energy costs in control through optimal utilization of energy.The primary of
objective of the Smart Energy Management Testbed is to monitor, visualize, analyze
and optimize the consumption of energy within the organization. It could be a city,
large campuses of private organizations or large infrastructure utilities like airports
or shopping malls. Infosys, a member of the Industrial Internet Consortium, is
leading this testbed, with contributions from consortium members, PTC and
Schneider Electric.
The testbed will be developed from the context of the smart city initiative. It will
have a platform on which additional testbeds such as lighting management,
environment management, security, etc. can be developed.The first phase will cover
nine commercial buildings in the Infosys Campus in Mysore, India, and chiller plants
for those buildings. In the next phase, it will have additional facilities like residential
buildings, a data center and the stadium.
Tuesday, October 18, 16
Time Sensitive Networks Testbed from IIC
From http://www.iiconsortium.org/time-sensitive-networks.htm
Support of fast control applications means the network needs to support communications with low
latency and low jitter and to provide mechanisms for distributed coordination or time synchronization.
Typically these requirements have resulted in non-standard network infrastructure or unconnected
standard networks where devices and data are not accessible throughout the infrastructure.
The goal of this testbed is to display the value of new Ethernet standards referred to as Time-Sensitive
Networks in a Manufacturing ecosystem of applications. TSN enables a standard, single, open network
infrastructure supporting multi-vendor interoperability and integration. The technology will be used to
support real-time control and synchronization of high performance machines over a single, standard
Ethernet network.
This testbed proposes to be an early implementation of TSN. As such, it will show the value of the
technology as well as some of the challenges in implementations from a number vendors. This testbed
will not only document some of the value, but will provide feedback to the relevant standards
organizations on areas of further clarification or improvement.
The testbed will display the following:
• Combine different critical and best-effort traffic flows on a single network based on IEEE 802.1 Time
Sensitive Networking
• Demonstrate the real-time capability and vendor interoperability using standard, converged Ethernet
• Evaluate security value of TSN and provide feedback on the secure-ability of initial TSN functions
• Show ability for IIoT to incorporate high performance and latency sensitive applications
• Provide integration points for smart edge-cloud control systems into IIoT infrastructure & application
Tuesday, October 18, 16
Track and Trace Testbed from IIC
From http://www.iiconsortium.org/track-and-trace.htm
The Track and Trace testbed brings the Industrial Internet onto the factory floor.The goal is to
manage handheld power tools in manufacturing and maintenance environments.This
"management" involves efficiently tracking and tracing the usage of these tools to ensure their
proper use, prevent their misuse and collect data on their usage and status.
Today's factories are highly sophisticated and require exacting work - down to the precise
amount of force used to tighten a screw.The tools in Track and Trace will be able to determine
its precise location and use and, therefore, will be able to determine the force and work needed
to complete a task. In addition, if a tool recognizes that it is being misused, it will promptly
power down to avoid accident or injury. Finally, over the two-year project, the testbed
participants will look to fine-tune the localization of tools to 30 centimeters, and ideally down
to five centimeters. Currently, the accuracy is approximately one meter - a gap large enough to
allow mistakes.These features of Track and Trace will contribute to the safety and quality of the
goods produced, as well as increase productivity in manufacturing.
Over the two-year project, four Industrial Internet Consortium members will be lending their
expertise to the testbed. Bosch is supplying the necessary software; Cisco is taking care of the
precision location identification feature; National Instruments will interconnect the power
tools; and TechMahindra is responsible for the application programming.
Tuesday, October 18, 16
Smart Water Management Testbed from IIC
From http://www.iiconsortium.org/water-management.htm
The growing water shortage is now regarded as the most crucial global
challenge, affecting both developing and developed nations (World Economic
Forum:The Global Risks Report 2015). Growing water shortages have been
driven by a rapid increase in the global population, accelerating climate
change, growing industrialization in developing countries, and aging
infrastructure.
Cities and large organizations are increasingly struggling to meet growing
demands for water and will have to take measures for reducing the water
losses.The focus of this testbed is reducing water losses through the
implementation of IoT technologies across the water infrastructure. It could
be a city, large campuses of private organizations or large infrastructure
utilities like airports or shopping malls. Infosys, a member of the Industrial
Internet Consortium, is leading this testbed, with contribution from
consortium members GE, EMC, Sierra Wireless and others.
The testbed will be developed from the context of smart city initiative. It will
have a platform on which additional testbeds like lighting management,
environment management, security, etc. can be developed.
Tuesday, October 18, 16
References
Inventory of all Bob Marcus CPS Slides on Slideshare
http://www.slideshare.net/bobmarcus/inventory-of-my-cps-slide-sets
Tuesday, October 18, 16
References
European Research Cluster on the Internet of Things (IERC)
http://www.internet-of-things-research.eu/
Industrial Internet of things (IIC) Testbeds
http://www.iiconsortium.org/test-beds.htm
DARPA META, CyPhy, and Adaptive Vehicle Make
http://cps-vo.org/group/avm/meta and http://cps-vo.org/group/avm/meta-overview and http://cps-vo.org/group/avm
Designing a Digital Future: Federally Funded R&D in Networking and Information Technology
https://www.whitehouse.gov/sites/default/files/microsites/ostp/pcast-nitrd-report-2010.pdf
Current and Planned Research at the Digital Science Center at Indiana University
http://grids.ucs.indiana.edu/ptliupages/publications/intelligent_iot_cloud_controller.pdf
Medical Device Cyber-Physical Systems from the University f Pennsylvania
https://rtg.cis.upenn.edu/MDCPS/
Cyber-Physical Systems: Are the Computing Foundations Adequate?
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.84.8011&rep=rep1&type=pdf
Internet of Nano-Things (IoNT)
citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.637.3319&rep=rep1&type=pdf
Internet of Bio-NanoThings(IoNBT)
http://www2.ece.gatech.edu/research/labs/bwn/papers/2015/j3.pdf
Tuesday, October 18, 16
References continued
Networked Embedded Systems Technology (NEST)
http://www.isis.vanderbilt.edu/projects/nest
Cyber-Physical Systems Engineering (CPSE) Lab Platforms in Europe
http://www.cpse-labs.eu/platforms.php
Core Research and Innovation Areas in Cyber-Physical System of Systems (CPSoS)
http://www.cpsos.eu/wp-content/uploads/2014/12/CPSoS-Initial-Research-and-Innovation-Priorities-Document-Nov.-2014.pdf
NIST Cyber-Physical Systems Testbed Workshop
http://www.nist.gov/cps/upload/CPSTestbedWorkshopAgenda-2.pdf
NSF Cyber-Physical Systems Home Page
https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503286
European Digital Agenda for Cyber-Physical Systems
https://ec.europa.eu/digital-agenda/en/cyberphysical-systems-0
Tuesday, October 18, 16
References continued
SMART-ACTION Consortia for International IoT Roadmapping in Europe
https://www.smart-action.eu/about/
Fog Research Overview from Princeton
http://www.princeton.edu/~chiangm/FogResearchOverview.pdf
IoT European Platforms Initiative
http://iot-epi.eu/
The Alliance for IoT Innovation (AIOTI)
https://ec.europa.eu/digital-single-market/en/alliance-internet-things-innovation-aioti
NSF CPS Research Awards
http://www.nsf.gov/news/news_summ.jsp?cntn_id=189476&WT.mc_
U.S. National Science Foundation Cyber-Physical Systems Home Page and Projects
https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503286
https://www.cps-forces.org/about.htm and http://robotics.ece.uic.edu/index.php/research/fail-safe-robots/cps-project
http://nsf.gov/awardsearch/showAward?AWD_ID=1544396 and http://nsf.gov/awardsearch/showAward?AWD_ID=1505799
http://www.nsf.gov/awardsearch/showAward?AWD_ID=1329831
Cyber-Physical Virtual Organization (CPS-VO) supported by NSF
http://cps-vo.org/
National Academies Workshop: Refining the Concept of Scientific Inference when Working with Big Data
http://sites.nationalacademies.org/DEPS/BMSA/DEPS_171738
Tuesday, October 18, 16

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Research and Testbeds in Cyber-Physical Systems

  • 1. Research and Testbeds in Cyber-Physical Systems Bob Marcus Co-Chair NIST Big Data PWG robert.marcus@et-strategies.com Caveat: This is a rough first cut and will be revised extensively! Tuesday, October 18, 16
  • 2. Key Points on CPS Research and Testbeds- Initial Thoughts • IoT and CPS are an active area of research including topics such as Semantic Interoperability, Cognitive Processing, IoT to Cloud Architectures, Security and Privacy Support, and System of System Design Tools. • This research is still at an early stage but will probably accelerate as the challenges of large-scale CPS become increasingly visible • Testbeds play a valuable role in evaluating new technology for CPS • Collaborative research and testbed initiatives are necessary to address the many issues in creating robust CPS systems (e.g. Smart City). Tuesday, October 18, 16
  • 3. Outline of Research and Testbeds • Research • NSF Research • Testbeds • Industrial Internet Consortium Testbeds Tuesday, October 18, 16
  • 5. ICT 30 Research Projects from EU From http://tinyurl.com/hvckvfn Tuesday, October 18, 16
  • 6. Research Needs from IERC From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf Tuesday, October 18, 16
  • 7. Research Needs from IERC continued From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf Tuesday, October 18, 16
  • 8. Research Needs from IERC continued From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf Tuesday, October 18, 16
  • 9. Research Needs from IERC continued From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf Tuesday, October 18, 16
  • 10. Research Needs from IERC continued From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf Tuesday, October 18, 16
  • 11. Research Needs from IERC continued From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf Tuesday, October 18, 16
  • 12. Research Needs from IERC continued From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf Tuesday, October 18, 16
  • 13. Research Needs from IERC continued From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf Tuesday, October 18, 16
  • 14. Research Needs from IERC continued From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf Tuesday, October 18, 16
  • 15. Research Needs from IERC continued From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf Tuesday, October 18, 16
  • 16. Research Needs from IERC continued From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf Tuesday, October 18, 16
  • 17. Research Needs from IERC continued From www.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf Tuesday, October 18, 16
  • 18. Promising CPS Research Directions from Edward Lee From citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.84.8011&rep=rep1&type=pdf • Putting “time” into programming languages. • Rethinking the OS/programming language split • Rethink the hardware/software split • Memory hierarchy with predictability. • Memory management with predictability • Predictable, controllable deep pipelines • Predictable, controllable, understandable concurrency • Concurrent components • Networks with timing • Computational dynamical systems theory Tuesday, October 18, 16
  • 19. IoTCloud Architecure from Indiana University From grids.ucs.indiana.edu/ptliupages/publications/intelligent_iot_cloud_controller.pdf ROS = Robot Operating System See ros.org Tuesday, October 18, 16
  • 20. IoTCloud++ Architecure from Indiana University From grids.ucs.indiana.edu/ptliupages/publications/intelligent_iot_cloud_controller.pdf ROS = Robot Operating System See ros.org Tuesday, October 18, 16
  • 21. Intelligent Knowledge as a Service (iKaaS) Project From http://www.slideshare.net/DrIngAbdurRahimBiswa/internet-of-things-iot-is-a-king-big-data-is-a-queen-and-cloud-is-a-palace Tuesday, October 18, 16
  • 22. NSF CPS Research Projects Tuesday, October 18, 16
  • 23. Research Areas from US National Science Foundation From http://ontolog.cim3.net/file/work/OntologySummit2015/2015-04-13_14_OntologySummit2015_Symposium/CPS-IOT--KeithMarzullo_2015-04-13.pptx Tuesday, October 18, 16
  • 24. Some Examples of NSF Research Projects • Foundations Of Resilient CybEr-physical Systems (FORCES) • Monitoring Techniques for Safety Critical Cyber-Physical Systems • Computationally Aware Cyber-Physical Systems • Security and Privacy-Aware Cyber-Physical Systems • Thermal-Aware Management of Cyber-Physical Systems From http://tinyurl.com/hjl6tlz Tuesday, October 18, 16
  • 25. Foundations Of Resilient CybEr-physical Systems from NSF From https://www.cps-forces.org/about.htm The NSF project Foundations Of Resilient CybEr-physical Systems (FORCES) focuses on the resilient design of large-scale networked CPS systems that directly interface with humans. FORCES aims to provide comprehensive tools that allow the CPS designers and operators to combine resilient control (RC) algorithms with economic incentive (EI) schemes. The project is developing RC tools to withstand a wide-range of attacks and faults; learning and control algorithms which integrate human actions with spatio-temporal and hybrid dynamics of networked CPS systems; and model-based design to assure semantically consistent representations across all branches of the project. Operations of networked CPS systems naturally depend on the systemic social institutions and the individual deployment choices of the humans who use and operate them.The presence of incomplete and asymmetric information among these actors leads to a gap between the individually and socially optimal equilibrium resiliency levels.The project is developing EI schemes to reduce this gap.The core contributions of the FORCES team, which includes experts in control systems, game theory, and mechanism design, are the foundations for the co-design of RC and EI schemes and technological tools for implementing them. Resilient CPS infrastructure is a critical National Asset. FORCES is contributing to the development of new Science of CPS by being the first project that integrates networked control with game theoretic tools and economic incentives of human decision makers for resilient CPS design and operation.The FORCES integrated co-design philosophy is being validated on two CPS domains: electric power distribution and consumption, and transportation networks.These design prototypes are being tested in real world scenarios.The teams research efforts are being complemented by educational offerings on resilient CPS targeted to a large and diverse audience. Tuesday, October 18, 16
  • 26. Monitoring Techniques for Safety Critical CPS from NSF From http://robotics.ece.uic.edu/index.php/research/fail-safe-robots/cps-project CPS now is a new emerging research area that include a wide range of related disciplines with different approaches, methods, tools and experimental platforms.This project is looking into one of the branch in this broad area: Monitoring. The growing complexity of modern engineered systems,and their increased reliance on computation, calls for novel approaches to guaranteeing their correct functioning.This is especially important for automotive systems where a failure can have catastrophic consequences. One way to ensure correctness of a complex system is to thoroughly test and/or verify it.While testing can increase confidence in a component, it can not guarantee correctness.Verification, on the other hand, can guarantee correctness, but it is simply not feasible, for example, for a car with advanced engine controls and numerous networked microprocessors. In other cases, the component might have been verified for correctness on a model which was not accurate. And more importantly, even if a component is found to be defective through verification,we may still want to use it if the incorrect behavior only occurs rarely. Runtime monitoring of the behavior of a component is an approach that can complement testing and verification. It can provide another layer of safety to the operation of the system.The monitor observes the inputs and outputs of the component and checks whether the behavior of the system is consistent with the expected behavior. Monitors can be especially useful if a fail-safe shut down procedures can be developed, which is true for abroad class of systems.We propose that monitor design be separate from the system design and be performed after the design of the system by a different set of designers.The fundamental advantage of monitors is that they are in principle easy to design and implement, and they do not fundamentally constrain the design of a component. Such two layer approach ensures that incorrect behaviors, due to potential faulty component designs, are detected by the monitor and are acted upon. Tuesday, October 18, 16
  • 27. Computationally Aware Cyber-Physical Systems from NSF From http://nsf.gov/awardsearch/showAward?AWD_ID=1544396 The objective of this work is to generate new fundamental science that enables the operation of cyber-physical systems through complex environments. Predicting how a system will behave in the future requires more computing power if that system is complex. Navigating through environments with many obstacles could require significant computing time, which may delay the issue of decisions that have to be made by the on-board algorithms. Fortunately, systems do not always need the most accurate model to predict their behavior.This project develops new theory for deciding between the best model to use when making a decision in real time.The approach involves switching between different predictive models of the system, depending on the computational burden of the associated controller, and the accuracy that the predictive model provides.These tools will pave the way for more kinds of aircraft to navigate closely and safely with one another through the National Air Space (NAS), including Unmanned Air Systems (UAS). The results from this project will enable more accurate and faster trajectory synthesis for controllers with nonlinear plants, or nonlinear constraints that encode obstacles.The approach utilizes hybrid control to switch between models whose accuracy is normalized by their computational burden of predictive control methods.This synergistic approach enables computationally-aware cyber-physical systems (CPSs), in which model accuracy can be jointly considered with computational requirements.The project advances the knowledge on modeling, analysis, and design of CPSs that utilize predictive methods for trajectory synthesis under constraints in real-time cyber-physical systems. The results will include methods for the design of algorithms that adapt to the computational limitations of autonomous and semi-autonomous systems while satisfying stringent timing and safety requirements.With these methods come new tools to account for computational capabilities in real-time, and new hybrid feedback algorithms and prediction schemes that exploit computational capabilities to arrive at more accurate predictions within the time constraints.The algorithms will be modeled in terms of hybrid dynamical systems, to guarantee dynamical properties of interest.The problem space will draw from models of UAS in the NAS. Tuesday, October 18, 16
  • 28. Security and Privacy-Aware Cyber-Physical Systems from NFS From http://nsf.gov/awardsearch/showAward?AWD_ID=1505799 Security and privacy concerns in the increasingly interconnected world are receiving much attention from the research community, policymakers, and general public. However, much of the recent and on-going efforts concentrate on security of general-purpose computation and on privacy in communication and social interactions.The advent of cyber-physical systems (e.g., safety-critical IoT), which aim at tight integration between distributed computational intelligence, communication networks, physical world, and human actors, opens new horizons for intelligent systems with advanced capabilities.These systems may reduce number of accidents and increase throughput of transportation networks, improve patient safety, mitigate caregiver errors, enable personalized treatments, and allow older adults to age in their places.At the same time, cyber-physical systems introduce new challenges and concerns about safety, security, and privacy.The proposed project will lead to safer, more secure and privacy preserving CPS.As our lives depend more and more on these systems, specifically in automotive, medical, and Internet-of-Things domains, results obtained in this project will have a direct impact on the society at large.The study of emerging legal and ethical aspects of large-scale CPS deployments will inform future policy decision- making.The educational and outreach aspects of this project will help us build a workforce that is better prepared to address the security and privacy needs of the ever-more connected and technologically oriented society. Cyber-physical systems (CPS) involve tight integration of computational nodes, connected by one or more communication networks, the physical environment of these nodes, and human users of the system, who interact with both the computational part of the system and the physical environment.Attacks on a CPS system may affect all of its components: computational nodes and communication networks are subject to malicious intrusions, and physical environment may be maliciously altered. CPS-specific security challenges arise from two perspectives. On the one hand, conventional information security approaches can be used to prevent intrusions, but attackers can still affect the system via the physical environment. Resource constraints, inherent in many CPS domains, may prevent heavy-duty security approaches from being deployed.This proposal will develop a framework in which the mix of prevention, detection and recovery, and robust techniques work together to improve the security and privacy of CPS. Specific research products will include techniques providing: 1) accountability-based detection and bounded-time recovery from malicious attacks to CPS, complemented by novel preventive techniques based on lightweight cryptography; 2) security-aware control design based on attack resilient state estimator and sensor fusions; 3) privacy of data collected and used by CPS based on differential privacy; and, 4) evidence-based framework for CPS security and privacy assurance, taking into account the operating context of the system and human factors. Case studies will be performed in applications with autonomous features of vehicles, internal and external vehicle networks, medical device interoperability, and smart connected medical home. Tuesday, October 18, 16
  • 29. Thermal-Aware Management of Cyber-Physical Systems from NSF From http://www.nsf.gov/awardsearch/showAward?AWD_ID=1329831 Processors in cyber-physical systems are increasingly being used in applications where they must operate in harsh ambient conditions and a computational workload which can lead to high chip temperatures. Examples include cars, robots, aircraft and spacecraft. High operating temperatures accelerate the aging of the chips, thus increasing transient and permanent failure rates. Current ways to deal with this mostly turn off the processor core or drastically slow it down when some part of it is seen to exceed a given temperature threshold. However, this pass/fail approach ignores the fact that (a) processors experience accelerated aging due to high temperatures, even if these are below the threshold, and (b) while deadlines are a constraint for real-time tasks to keep the controlled plant in the allowed state space, the actual controller response times that will increase if the voltage or frequency is lowered (to cool down the chip) are what determine the controlled plant performance. Existing approaches also fail to exploit the tradeoff between controller reliability (affected by its temperature history) and the performance of the plant.This project addresses these issues. Load-shaping algorithms are being devised to manage thermal stresses while ensuring appropriate levels of control quality. Such actions include task migration, changing execution speed, selecting an alternative algorithm or software implementation of control functions, and terminating prematurely optional portions of iterative tasks.Validation platforms for this project include automobiles and unmanned aerial vehicles.These platforms have been chosen based on both their importance to society and the significant technical challenges they pose. With CPS becoming ever more important in our lives and businesses, this project which will make CPS controllers more reliable and/or economical has broad potential social and economic impacts. Collaboration with General Motors promotes transition of the new technology to industry.The project includes activities to introduce students to thermal control in computing, in courses spanning high- school, undergraduate and graduate curricula. Tuesday, October 18, 16
  • 30. Internet of Bio-Nano Things (IoBNT): Cells as Devices From hwww2.ece.gatech.edu/research/labs/bwn/papers/2015/j3.pdf Tuesday, October 18, 16
  • 31. Internet of Nano-Things From citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.637.3319&rep=rep1&type=pdf Tuesday, October 18, 16
  • 33. NIST Smart Grid and CPS Testbed From www.nist.gov/smartgrid/upload/Smart-Grid-Testbed-Update.pdf Tuesday, October 18, 16
  • 34. Public IoT Testbeds From https://hal.inria.fr/inria-00630092/document Tuesday, October 18, 16
  • 35. IoT Testbeds with Interesting Features From https://hal.inria.fr/inria-00630092/document Tuesday, October 18, 16
  • 36. Typical IoT Testbed Architectures From https://hal.inria.fr/inria-00630092/document Tuesday, October 18, 16
  • 37. CloudMesh: Cloud Testbeds as A Service (CTaaS From http://cloudmesh.github.io/cloudmesh.html Tuesday, October 18, 16
  • 38. Federated Interoperable Semantic IoT Testbeds(FIESTA-IoT) From http://fiesta-iot.eu/fiesta-testbeds/ Tuesday, October 18, 16
  • 39. Korean KETI Project for FIESTA-IoT From http://jseungsong.weebly.com/research.html EU Horizon 2020: FIESTA project Period: 2015.02 ~ 2018.01 (36 months) Members: KETI (together with Sejong University), NEC Europe Ltd., Fraunhofer, University of Surrey, etc.  Project coordinator: Prof. Song JaeSeung (Korea side) FIESTA will be validated and evaluated based on the interconnection of four testbeds (in Spain, UK, France and Korea), as well as based on the execution of novel experiments in the areas of mobile crowd-sensing, IoT applications portability, and dynamic intelligent discovery of IoT resources. In order to achieve global outreach and maximum impact, FIESTA will integrate an additional testbed and experiments from Korea, while it will also collaborate with IoT experts from USA.The participation of a Korean partner (based its own funding) will maximize FIESTA’s value for EC money. Moreover, the project will take advantage of open calls processes towards attracting third-parties that will engage in the integration of their platforms within FIESTA or in the conduction of added-value experiments. As part of its sustainability strategy, FIESTA will establish a global market confidence programme for IoT interoperability, which will enable innovative platform providers and solution integrators to ensure/certify the openness and interoperability of their developments. Tuesday, October 18, 16
  • 40. SmartSantander Testbed in Spain From http://www.smartsantander.eu/ Tuesday, October 18, 16
  • 41. Network Architecture for Smart Campus Testbed in UK From http://www.smartsantander.eu/downloads/Presentations/gws13.pdf Tuesday, October 18, 16
  • 42. 4G/LTE Core/IMS/M2M Testbed in France From http://www.etsi.org/plugtests/COAP2/Presentations/04_Com4Innov-ETSI%20CoAP.pdf Tuesday, October 18, 16
  • 43. Lab of Things from Microsoft Research From http://www.lab-of-things.com/ Tuesday, October 18, 16
  • 44. Home OS and HomeStore from Microsoft Research From http://www.zdnet.com/article/microsofts-homestore-home-automation-with-an-iphone-inspired-twist/ and http://research.microsoft.com/pubs/136890/hotnets2010-homeos.pdf Tuesday, October 18, 16
  • 45. Industrial Internet Consortium Testbeds Tuesday, October 18, 16
  • 46. Testbeds from Industrial Internet Consortium (IIC) From http://www.iiconsortium.org/test-beds.htm Tuesday, October 18, 16
  • 47. Asset Efficiency Testbed from IIC From http://www.iiconsortium.org/asset-efficiency.htm Many industries have assets that are critical to their business processes.Availability and efficiency of these assets directly impact service and business. Using predictive analytics, the Asset Efficiency Testbed aims to collect real-time asset information efficiently and accurately and run analytics to make the right decisions in terms of operations, maintenance, overhaul and asset replacement. Infosys, a member of the Industrial Internet Consortium, is leading this project, with contribution from Consortium members Bosch, GE, IBM, Intel, National Instruments and PTC. Asset Efficiency is a vertical testbed, making it possible for the testbed to be applied to multiple solutions.The testbed will launch in two phases. In the first phase, the testbed will be created for a moving solution, in this case, aircraft landing gear.The focus of this phase will be on the creation of stack and the integration of technologies. In the second phase, the testbed will address fixed assets, like chillers, with the goals of finalizing the architecture and opening up the interfaces. The Asset Efficiency Testbed monitors, controls and optimizes the assets holistically taking into consideration operational, energy, maintenance, service, and information efficiency and enhance their performance utilization.The Asset Efficiency Testbed offers numerous benefits including: Condition Monitoring that helps in determining an optimal maintenance schedule, the reduction in downtime thus improving overall productivity of assets, reduction in capital and operational expenditures, and efficient energy utilization. Tuesday, October 18, 16
  • 48. Condition Monitoring and Predictive MaintenanceTestbed from IIC From http://www.iiconsortium.org/cm-pm.htm Many industries have assets that are critical to their business processes.Availability and The Condition Monitoring and Predictive Maintenance Testbed (CM/PM) will demonstrate the value and benefits of continuously monitoring industrial equipment to detect early signs of performance degradation or failure. CM/PM will also use modern analytical technologies to allow organizations to not only detect problems but proactively recommend actions for operations and maintenance personnel to correct the problem.  Condition Monitoring (CM) is the use of sensors in equipment to gather data and enable users to centrally monitor the data in real-time. Predictive Maintenance (PM) applies analytical models and rules against the data to proactively predict an impending issue; then deliver recommendations to operations, maintenance and IT departments to address the issue.These capabilities enable new ways to monitor the operation of the equipment - such as turbines and generators - and processes and to adopt proactive maintenance and repair procedures rather than fixed schedule-based procedures, potentially saving money on maintenance and repair, and saving cost and lost productivity of downtime caused by equipment failures. Furthermore, combining sensor data from multiple pieces of equipment and/or multiple processes can provide deeper insight into the overall impact of faulty or sub-optimal equipment, allowing organizations to identify and resolve problems before they impact operations and improve the quality and efficiency of industrial processes.  Through this testbed, the testbed leaders IBM and National Instruments will explore the application of a variety of analytics technologies for condition monitoring and predictive maintenance.The testbed application will initially be deployed to a power plant facility where performance and progress will be reported on, additional energy equipment will be added and new models will be developed. It will then be expanded to adjacent, as yet to be determined, industries.  Tuesday, October 18, 16
  • 49. Connected Care Testbed from IIC From http://www.iiconsortium.org/connected-care.htm A substantial opportunity exists here to reduce the cost of chronic health management for patients.Advances in technology minimization and integration, networking access of medical devices and preponderance of personal smart devices make IoT technology particularly well suited to address this problem. The Testbed will provide an ecosystem of tools that can provide: • Improved patient health and reduced hospital readmissions • Provide patient, family and caregivers involvement and access to patient health • Enable patients to live at home while under managed care • Enable health care providers to improve patient adherence to prescribed treatments Tuesday, October 18, 16
  • 50. Edge Intelligence Testbed from IIC From http://www.iiconsortium.org/edge-intelligence.htm Many emerging industrial IoT applications require coordinated, real-time analytics at the "edge", using algorithms that require a scale of computation and data volume/velocity previously seen only in the data center. Frequently, the networks connecting these machines do not provide sufficient capability, bandwidth, reliability, or cost structure to enable analytics-based control or coordination algorithms to run in a separate location from the machines. Industrial Internet Consortium members Hewlett-Packard and Real-Time Innovation have joined together on the Edge Intelligence Testbed. The primary objective of the Edge Intelligence Testbed is to significantly accelerate the development of edge architectures and algorithms by removing the barriers that many developers face: access to a wide variety of advanced compute hardware and software configurable to directly resemble state-of-the-art edge systems at very low cost to the tester/developer. Tuesday, October 18, 16
  • 51. Factory Automation (FA) PaaS Testbed from IIC From http://www.iiconsortium.org/fa-paas.htm This testbed facilitates development of FA applications by providing a service-based platform with pre-integrated environment across factory automation (OT) and IT platform (IT). It includes IoT data processing platform that processes Big Data, IoT head end system, and IoT gateway that securely connects the service platform layer with FA environment, and FA edge device that provides functions unique to FA applications, and which also enable communications with FA devices in the field of factories. In addition, the advantage of IoT platform tested in this testbed is interoperability between FA environment, IoT gateways and IoT data processing platform and accelerates application development for next-generation factory by making available of integrated environment between FA environment and service platform layer. Tuesday, October 18, 16
  • 52. Factory OperationsVisibility & Intelligence (FOVI)Testbed from IIC From http://www.iiconsortium.org/fovi.htm The Factory OperationsVisibility & Intelligence (FOVI) Testbed makes it possible to simulate a factory environment in order to visualize results that can then be used to determine how the process can be optimized. The work on FOVI stems from two separate OperationsVisibility and Intelligence applications in two factories in Japan: one for notebook computers and another for network appliances. Both use cases have a lot in common with respect to processing data, analytics, and visualization technologies. Ideally they should use a common software foundation while their future evolution requires a more open architecture. Work on the testbed will be led by Industrial Internet Consortium member Fujitsu Limited with Industrial Internet Consortium founding member, Cisco, collaborating on the in-factory testbed edge infrastructure. Tuesday, October 18, 16
  • 53. High Speed Network Testbed from IIC From http://www.iiconsortium.org/high-speed-network.htm The High-Speed Network Infrastructure testbed will introduce high-speed fiber optic lines to support Industrial Internet initiatives.The network will transfer data at 100 gigabits per second to support seamless machine-2-machines communications and data transfer across connected control systems, big infrastructure products, and manufacturing plants. The 100 gigabit capability extends to the wireless edge, allowing the testbed leaders to provide more data and analytical results to mobile users through advanced communication techniques. Industrial Internet Consortium founder, GE, is leading efforts by installing the networking lines at its Global Research Center. Cisco - also a founder of the Consortium - contributed its expertise to the project by providing the infrastructure needed to give the network its national reach. Industrial Internet Consortium members Accenture and Bayshore Networks are currently demonstrating the application of the High-Speed Network Infrastructure for power generation. Tuesday, October 18, 16
  • 54. Industrial Digital Thread Testbed from IIC From http://www.iiconsortium.org/industrial-digital-thread.htm The Industrial Digital Thread (IDT) testbed drives efficiency, speed, and flexibility through digitization and automation of manufacturing processes and procedures. Beginning at design, the seamless digital integration of design systems into manufacturing, leveraging the model-based enterprise, helps to enable virtual manufacturing before even one physical part is created. Sensor enabled automation, manufacturing processes, procedures, and machine data will enable optimization in operations and supply chain. Once the manufacturing process is complete, the digital ‘birth certificate’ (as built-signature) can then be compared to the as- designed engineering intention.This provides the opportunity for powerful big data analytics to enable service teams and field engineers to have better awareness, insights, and practical actions to improve the servicing and maintenance of critical assets. The Industrial Digital Thread is a complex and comprehensive concept and it will be implemented in multiple phases. Phase 1 focuses on assembling the software stack, establishing the architecture and connectivity, and addressing one use case around premature wear. In subsequent phases, this testbed will be able to support multiple use cases in design, manufacturing, services and supply-chain optimization.At this time, additional members will be invited to join. Tuesday, October 18, 16
  • 55. International Future Industrial Internet Testbed from IIC From http://www.iiconsortium.org/infinite.htm The goal of the International Future Industrial Internet Testbed (INFINITE) is to develop software-defined infrastructures to drive the growth of Industrial Internet products and services. INFINITE uses Big Data to not only create completely virtual domains with Software- Defined Networking, but it also makes it possible for multiple virtual domains to securely run via one physical network - thus making it ideal for use in mission critical systems. Even more interesting, INFINITE makes it possible to connect to these virtual domains through mobile networks. Industrial Internet Consortium member, EMC Corporation, is leading the INFINITE testbed. Also contributing their expertise to this project is Industrial Internet Consortium member Cork Institute of Technology as well asVodafone, the Irish Government Networks,Asavie and Cork Internet Exchange. The testbed will unfold in two phases in Ireland. In Phase One, three geographically dispersed data centers will be interconnected into a reconfigured EMC network. In Phase Two, INFINITE will be applied to a use case called "Bluelight". Bluelight will allow ambulances to securely connect to a hospital's system and relay information while in route, so hospital staff are prepared to take over the care of the patient once the ambulance arrives. The INFINITE testbed is open to any Industrial Internet Consortium member as well as interested nonmembers companies who have a concept for an IoT-enabled solution that requires mobile communication and a dynamic configuration environment. Tuesday, October 18, 16
  • 56. Intelligent Urban Water Supply From http://www.iiconsortium.org/intelligent-urban-water-supply.htm The testbed will deploy IoT gateways to securely connect the water supply asset (e.g. pressurizing pumps) to the cloud service platform where advanced analytics will be applied to the operational data communicated from the assets. The operational insight obtained from the analytics will be used to drive the water supply domain applications to monitor and provide advanced maintenance capability, monitor water quality, detect water leakages, reduce energy consumption of pressurizing pumps and ensure equitable water distributions to the points of consumption during water peak usage hours and water supply shortages. Tuesday, October 18, 16
  • 57. Microgrid Testbed from IIC From http://www.iiconsortium.org/microgrid.htm The goal of the Microgrid Communication and Control Testbed is to prove the viability of a real-time, secure databus to faciliate machine-to-machine, machine-to-control center, and machine-to-cloud data communications. It will combine distributed, edge-located processing and control applications with intelligent analytics. It will run in real-world power applications and interface with practical equipment. Three Industrial Internet Consortium member organizations will be lending their expertise to this project: Real-Time Innovations (RTI) is providing the real-time databus software using their DDS standard based RTI Connext communication platform for IIoT; National Instruments is providing the intelligent nodes for edge control and analytics based on their CompactRIO and Grid Automation Systems; and Cisco is providing network equipment and security expertise using their Connected Grid Router.They will also be collaborating with Duke Energy and the Standard Grid Interoperability Panel (SGIP) to ensure a coordinated, accepted architecture. The testbed is unfolding in three phases. In April 2015, Phase One commenced as a proof-of- concept that ensures basic security and performance. Phase Two - slated for 2016 - will demonstrate the scalability of the Microgrid Communication and Control Framework in a simulated environment.The final phase will demonstrate the testbed in a real-world situation. The first two phases will take place in Westminster, California at Southern California Edison's Controls Lab Tuesday, October 18, 16
  • 58. Precision Crop Management Testbed from IIC From http://www.iiconsortium.org/precision-crop-management.htm The Testbed will explore the ability of IoT technology to improve Crop Management, through increased production (yield), lower operational costs plus smarter applications of chemicals and fertilizers.The Testbed will focus on improving crop yield through the analysis of real-time data from a variety of environmental sensors and other sources of truth located in commercial crop fields or throughout the enterprise. Tuesday, October 18, 16
  • 59. Security Claims Evaluation Testbed from IIC From http://www.iiconsortium.org/security-claims.htm The primary objective of the Security Claims Evaluation Testbed is to provide an open and easily configurable cybersecurity platform for evaluation of endpoint, gateway, and other networked components’ security capabilities.The testbed will enable participants to connect their equipment to a system of other endpoints, gateways, etc. to evaluate the security capabilities of their equipment, interoperability to other devices, and verify the critical areas of their architecture pattern are secured as outlined in the Industrial Internet Consortium Reference Architecture. Industrial Internet Consortium members and non-members have the ability to connect their equipment to the testbed to evaluate the security of their devices within two different scenarios; individually on a device level as well as with a system of other endpoints, gateways, etc.This includes exploration of methodology and collection of evidence to demonstrate the system operational security processes supporting the key characteristics of the system relative to evaluation of the participant’s claims.Additionally, the testbed enables the evaluation of the critical areas of an architecture pattern that need to be secured as outlined in the Industrial Internet Consortium Reference Architecture. The testbed will be rolled out in three stages.The first being initial deployment in a lab environment, second in a micro-factory environment and third phase as determined by the growth of the testbed.The security testbed phased release approach provides a unique learning opportunity to evaluate security vulnerabilities at a device level and system level prior to large scale deployment across many key applications driving the Industrial Internet of Things (IIoT) / Industry 4.0. Tuesday, October 18, 16
  • 60. Sensor to Cloud Connectivity Testbed from IIC From http://www.iiconsortium.org/press-room/10-12-16.htm The objective of sensor-to-the-cloud connectivity is to make sensor data available to information technology (IT) systems in near real time, enabling advanced analytics.This is of particular interest to operators of existing manufacturing facilities, as it provides them with opportunities to increase efficiencies, e.g. through reductions in energy consumption. Unlike new deployments, where the appropriate connectivity may be designed in from the beginning, smart solutions are required for these "brownfield" installations in order to enable easy integration at both the operational technology (OT) and the IT level to reduce downtime and save costs. The Smart Manufacturing Connectivity for Brownfield Sensors Testbed will: • Introduce a retrofit hardware solution (the "Y-Gateway") that makes use of existing physical connectivity • Extract sensor data from the automation system without impacting operations • Deliver the sensor data to SAP's IT platform through a secure OT/IT communication based on OPC UA (IEC 62541) • Define and implement a common device model based on an available open standard to allow for the easy integration of an IO-Link sensor with IT, enabling the remote configuration of the sensor Tuesday, October 18, 16
  • 61. Smart Airline Baggage Management Testbed from IIC From http://www.iiconsortium.org/baggage-management.htm GE Digital will be contributing the Predix® Cloud platform – already used extensively in the airline business – to host the platform side of the testbed. Oracle will provide their airline applications built on the Oracle Airline Data Model (OADM). M2Mi will provide the M2M and IoT device management, connectivity, data handling and instream analytics to connect edge devices such as smart luggage, airport baggage trucks, scanners and beacons to the platform applications.The M2Mi IoT platform will run on GE Predix and the Oracle Cloud and will also provide policy management and enforcement, security and encryption to deliver the critical infrastructure to pass data and alerts to and between the GE and Oracle hosted applications. The testbed will use a range of Bluetooth, Cellular and WiFi baggage tracking devices. These will be deployed in smart luggage, permanent and reusable bag tags, airport luggage carts and across the baggage ecosystem. Phase 1 of the testbed project will: • Provide a Cloud-based ecosystem to provide connectivity to assets like bags and passenger and airport/airline equipment. • Provide end-to-end visibility of bags to the airline, as it is checked-in, dropped and travels via the baggage carousel, bag trolley, aircraft, connecting airport to the destination bag-pickup. • Enable airlines to provide near-real-time view of their bag status to the customers. Tuesday, October 18, 16
  • 62. Smart Manufacturing Connectivity Testbed from IIC From http://www.iiconsortium.org/smart-connectivity.htm This testbed is essentially about implementing a sensor’s virtual representation at platform tier level by 1. A hardware component that establishes a separate OT/IT communication to deliver sensor data to the IT systems and to receive configuration data. 2. The implementation of a common device model based on an open standard that enables the control and manipulation of the physical device from within the IT systems. This testbed uses open standards for the OT/IT communication, the sensor devices and the common device model: • IO-Link is standardized as IEC 61131-9:2013 Programmable controllers - Part 9: Single-drop digital communication interface for small sensors and actuators (SDCI). • OPC UA is standardized within the IEC 62541 OPC Unified Architecture series. • The IO Device Description (IODD) is based on ISO 15745-1:2003 Industrial automation systems and integration – Open systems application integration framework – Part 1: Generic reference description As IO-Link is also based on the IODD, there is a consistent device description from the IT to the sensor level – supported through the semantics-independent data transfer provided by OPC UA – that allows for the easy configuration of a sensor and the interoperability with a large range of devices and analytic services. Tuesday, October 18, 16
  • 63. Smart Energy Management Testbed from IIC From http://www.iiconsortium.org/energy-management.htm he World Economic Forum has identified ‘rising energy costs’ as the sixth highest economic risk. It is a bigger risk in Asia. Ever-increasing population, overconsumption and poor infrastructure result in increases in energy demand. Organizations need to be cognizant of this fact and ensure that they keep their energy costs in control through optimal utilization of energy.The primary of objective of the Smart Energy Management Testbed is to monitor, visualize, analyze and optimize the consumption of energy within the organization. It could be a city, large campuses of private organizations or large infrastructure utilities like airports or shopping malls. Infosys, a member of the Industrial Internet Consortium, is leading this testbed, with contributions from consortium members, PTC and Schneider Electric. The testbed will be developed from the context of the smart city initiative. It will have a platform on which additional testbeds such as lighting management, environment management, security, etc. can be developed.The first phase will cover nine commercial buildings in the Infosys Campus in Mysore, India, and chiller plants for those buildings. In the next phase, it will have additional facilities like residential buildings, a data center and the stadium. Tuesday, October 18, 16
  • 64. Time Sensitive Networks Testbed from IIC From http://www.iiconsortium.org/time-sensitive-networks.htm Support of fast control applications means the network needs to support communications with low latency and low jitter and to provide mechanisms for distributed coordination or time synchronization. Typically these requirements have resulted in non-standard network infrastructure or unconnected standard networks where devices and data are not accessible throughout the infrastructure. The goal of this testbed is to display the value of new Ethernet standards referred to as Time-Sensitive Networks in a Manufacturing ecosystem of applications. TSN enables a standard, single, open network infrastructure supporting multi-vendor interoperability and integration. The technology will be used to support real-time control and synchronization of high performance machines over a single, standard Ethernet network. This testbed proposes to be an early implementation of TSN. As such, it will show the value of the technology as well as some of the challenges in implementations from a number vendors. This testbed will not only document some of the value, but will provide feedback to the relevant standards organizations on areas of further clarification or improvement. The testbed will display the following: • Combine different critical and best-effort traffic flows on a single network based on IEEE 802.1 Time Sensitive Networking • Demonstrate the real-time capability and vendor interoperability using standard, converged Ethernet • Evaluate security value of TSN and provide feedback on the secure-ability of initial TSN functions • Show ability for IIoT to incorporate high performance and latency sensitive applications • Provide integration points for smart edge-cloud control systems into IIoT infrastructure & application Tuesday, October 18, 16
  • 65. Track and Trace Testbed from IIC From http://www.iiconsortium.org/track-and-trace.htm The Track and Trace testbed brings the Industrial Internet onto the factory floor.The goal is to manage handheld power tools in manufacturing and maintenance environments.This "management" involves efficiently tracking and tracing the usage of these tools to ensure their proper use, prevent their misuse and collect data on their usage and status. Today's factories are highly sophisticated and require exacting work - down to the precise amount of force used to tighten a screw.The tools in Track and Trace will be able to determine its precise location and use and, therefore, will be able to determine the force and work needed to complete a task. In addition, if a tool recognizes that it is being misused, it will promptly power down to avoid accident or injury. Finally, over the two-year project, the testbed participants will look to fine-tune the localization of tools to 30 centimeters, and ideally down to five centimeters. Currently, the accuracy is approximately one meter - a gap large enough to allow mistakes.These features of Track and Trace will contribute to the safety and quality of the goods produced, as well as increase productivity in manufacturing. Over the two-year project, four Industrial Internet Consortium members will be lending their expertise to the testbed. Bosch is supplying the necessary software; Cisco is taking care of the precision location identification feature; National Instruments will interconnect the power tools; and TechMahindra is responsible for the application programming. Tuesday, October 18, 16
  • 66. Smart Water Management Testbed from IIC From http://www.iiconsortium.org/water-management.htm The growing water shortage is now regarded as the most crucial global challenge, affecting both developing and developed nations (World Economic Forum:The Global Risks Report 2015). Growing water shortages have been driven by a rapid increase in the global population, accelerating climate change, growing industrialization in developing countries, and aging infrastructure. Cities and large organizations are increasingly struggling to meet growing demands for water and will have to take measures for reducing the water losses.The focus of this testbed is reducing water losses through the implementation of IoT technologies across the water infrastructure. It could be a city, large campuses of private organizations or large infrastructure utilities like airports or shopping malls. Infosys, a member of the Industrial Internet Consortium, is leading this testbed, with contribution from consortium members GE, EMC, Sierra Wireless and others. The testbed will be developed from the context of smart city initiative. It will have a platform on which additional testbeds like lighting management, environment management, security, etc. can be developed. Tuesday, October 18, 16
  • 67. References Inventory of all Bob Marcus CPS Slides on Slideshare http://www.slideshare.net/bobmarcus/inventory-of-my-cps-slide-sets Tuesday, October 18, 16
  • 68. References European Research Cluster on the Internet of Things (IERC) http://www.internet-of-things-research.eu/ Industrial Internet of things (IIC) Testbeds http://www.iiconsortium.org/test-beds.htm DARPA META, CyPhy, and Adaptive Vehicle Make http://cps-vo.org/group/avm/meta and http://cps-vo.org/group/avm/meta-overview and http://cps-vo.org/group/avm Designing a Digital Future: Federally Funded R&D in Networking and Information Technology https://www.whitehouse.gov/sites/default/files/microsites/ostp/pcast-nitrd-report-2010.pdf Current and Planned Research at the Digital Science Center at Indiana University http://grids.ucs.indiana.edu/ptliupages/publications/intelligent_iot_cloud_controller.pdf Medical Device Cyber-Physical Systems from the University f Pennsylvania https://rtg.cis.upenn.edu/MDCPS/ Cyber-Physical Systems: Are the Computing Foundations Adequate? http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.84.8011&rep=rep1&type=pdf Internet of Nano-Things (IoNT) citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.637.3319&rep=rep1&type=pdf Internet of Bio-NanoThings(IoNBT) http://www2.ece.gatech.edu/research/labs/bwn/papers/2015/j3.pdf Tuesday, October 18, 16
  • 69. References continued Networked Embedded Systems Technology (NEST) http://www.isis.vanderbilt.edu/projects/nest Cyber-Physical Systems Engineering (CPSE) Lab Platforms in Europe http://www.cpse-labs.eu/platforms.php Core Research and Innovation Areas in Cyber-Physical System of Systems (CPSoS) http://www.cpsos.eu/wp-content/uploads/2014/12/CPSoS-Initial-Research-and-Innovation-Priorities-Document-Nov.-2014.pdf NIST Cyber-Physical Systems Testbed Workshop http://www.nist.gov/cps/upload/CPSTestbedWorkshopAgenda-2.pdf NSF Cyber-Physical Systems Home Page https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503286 European Digital Agenda for Cyber-Physical Systems https://ec.europa.eu/digital-agenda/en/cyberphysical-systems-0 Tuesday, October 18, 16
  • 70. References continued SMART-ACTION Consortia for International IoT Roadmapping in Europe https://www.smart-action.eu/about/ Fog Research Overview from Princeton http://www.princeton.edu/~chiangm/FogResearchOverview.pdf IoT European Platforms Initiative http://iot-epi.eu/ The Alliance for IoT Innovation (AIOTI) https://ec.europa.eu/digital-single-market/en/alliance-internet-things-innovation-aioti NSF CPS Research Awards http://www.nsf.gov/news/news_summ.jsp?cntn_id=189476&WT.mc_ U.S. National Science Foundation Cyber-Physical Systems Home Page and Projects https://www.nsf.gov/funding/pgm_summ.jsp?pims_id=503286 https://www.cps-forces.org/about.htm and http://robotics.ece.uic.edu/index.php/research/fail-safe-robots/cps-project http://nsf.gov/awardsearch/showAward?AWD_ID=1544396 and http://nsf.gov/awardsearch/showAward?AWD_ID=1505799 http://www.nsf.gov/awardsearch/showAward?AWD_ID=1329831 Cyber-Physical Virtual Organization (CPS-VO) supported by NSF http://cps-vo.org/ National Academies Workshop: Refining the Concept of Scientific Inference when Working with Big Data http://sites.nationalacademies.org/DEPS/BMSA/DEPS_171738 Tuesday, October 18, 16