Hong-Linh Truong from Vienna University of Technology will present at the ICSOC 2015 panel on service engineering analytics in the Internet of Things (IoT) and cloud systems. The presentation will discuss novel service models and compositions that blend distributed IoT and cloud capabilities. It will also cover programming techniques for coordinating IoT elements and cloud services elastically, as well as engineering analytics tools and techniques for characterizing end-to-end metrics across multiple software layers in IoT and cloud systems.
SmartSociety – A Platform for Collaborative People-Machine ComputationHong-Linh Truong
We present the SmartSociety Platform for Collaborative People-Machine computation carried out in the FET SmartSociety project: http://www.smart-society-project.eu/
RE4ES- Holistic Explainability Requirements for End-to-end ML in IoT Cloud Sy...My Linh Nguyen
Holistic Explainability Requirements for End-to-end ML in IoT Cloud Systems paper presentation at International Workshop on Requirements Engineering for Explainable Systems (RE4ES- IEEE RE 2021)
SINC – An Information-Centric Approach for End-to-End IoT Cloud Resource Prov...Hong-Linh Truong
We present SINC –
Slicing IoT, Network Functions, and Clouds – which enables designers to dynamically create/update end-to-end slices of the overall IoT network in order to simultaneously meet multiple user needs.
Assisting IoT Projects and Developers in Designing Interoperable Semantic Web...Amélie Gyrard
Assisting IoT Projects and Developers in Designing Interoperable Semantic Web of Things Applications
The 8th IEEE International Conference on Internet of Things (iThings 2015), 11-13 December 2015, Sydney, Australia
Amelie Gyrard, Christian Bonnet, Karima Boudaoud, Martin Serrano
A Unified Semantic Engine for Internet of Things and Smart Cities: From Senso...Amélie Gyrard
A Unified Semantic Engine for Internet of Things and Smart Cities: From Sensor Data to End-Users Applications
The 8th IEEE International Conference on Internet of Things (iThings 2015), 11-13 December 2015, Sydney, Australia
Amelie Gyrard, Martin Serrano
Towards the Realization of Multi-dimensional Elasticity for Distributed Cloud...Hong-Linh Truong
As multiple types of distributed, heterogeneous cloud computing environments have proliferated, cloud software can leverage
diverse types of infrastructural, platform and data resources with di
erent cost and quality models. This introduces a multi-
dimensional elasticity perspective for cloud software that would greatly meet changing demands from the user. However, we argue
that current techniques are not enough for dealing with multi-dimensional elasticity in distributed cloud environments. We present
our approach to the realization of multi-dimensional elasticity by introducing novel concepts and a roadmap to achieve them.
DeviceHive is an open-source machine to machine (M2M) communication framework, which helps to resolve IoT project problems. We will be talking about the experience we've gathered in DataArt related to the technical issues taking place on different IoT project stages and how we have used this experience to implement the platform useful for both start-ups and enterprise companies.
SmartSociety – A Platform for Collaborative People-Machine ComputationHong-Linh Truong
We present the SmartSociety Platform for Collaborative People-Machine computation carried out in the FET SmartSociety project: http://www.smart-society-project.eu/
RE4ES- Holistic Explainability Requirements for End-to-end ML in IoT Cloud Sy...My Linh Nguyen
Holistic Explainability Requirements for End-to-end ML in IoT Cloud Systems paper presentation at International Workshop on Requirements Engineering for Explainable Systems (RE4ES- IEEE RE 2021)
SINC – An Information-Centric Approach for End-to-End IoT Cloud Resource Prov...Hong-Linh Truong
We present SINC –
Slicing IoT, Network Functions, and Clouds – which enables designers to dynamically create/update end-to-end slices of the overall IoT network in order to simultaneously meet multiple user needs.
Assisting IoT Projects and Developers in Designing Interoperable Semantic Web...Amélie Gyrard
Assisting IoT Projects and Developers in Designing Interoperable Semantic Web of Things Applications
The 8th IEEE International Conference on Internet of Things (iThings 2015), 11-13 December 2015, Sydney, Australia
Amelie Gyrard, Christian Bonnet, Karima Boudaoud, Martin Serrano
A Unified Semantic Engine for Internet of Things and Smart Cities: From Senso...Amélie Gyrard
A Unified Semantic Engine for Internet of Things and Smart Cities: From Sensor Data to End-Users Applications
The 8th IEEE International Conference on Internet of Things (iThings 2015), 11-13 December 2015, Sydney, Australia
Amelie Gyrard, Martin Serrano
Towards the Realization of Multi-dimensional Elasticity for Distributed Cloud...Hong-Linh Truong
As multiple types of distributed, heterogeneous cloud computing environments have proliferated, cloud software can leverage
diverse types of infrastructural, platform and data resources with di
erent cost and quality models. This introduces a multi-
dimensional elasticity perspective for cloud software that would greatly meet changing demands from the user. However, we argue
that current techniques are not enough for dealing with multi-dimensional elasticity in distributed cloud environments. We present
our approach to the realization of multi-dimensional elasticity by introducing novel concepts and a roadmap to achieve them.
DeviceHive is an open-source machine to machine (M2M) communication framework, which helps to resolve IoT project problems. We will be talking about the experience we've gathered in DataArt related to the technical issues taking place on different IoT project stages and how we have used this experience to implement the platform useful for both start-ups and enterprise companies.
HINC – Harmonizing Diverse Resource Information Across IoT, Network Functions...Hong-Linh Truong
Effective resource management in IoT systems must
represent IoT resources, edge-to-cloud network capabilities, and
cloud resources at a high-level, while being able to link to diverse
low-level types of IoT devices, network functions, and cloud
computing infrastructures. Hence resource management in such
a context demands a highly distributed and extensible approach,
which allows us to integrate and provision IoT, network functions,
and cloud resources from various providers. In this paper, we
address this crucial research issue. We first present a high-
level information model for virtualized IoT, network functions
and cloud resource modeling, which also incorporates software-
defined gateways, network slicing and data centers. This model
is used to glue various low-level resource models from different
types of infrastructures in a distributed manner to capture
sets of resources spanning across different sub-networks. We
then develop a set of utilities and a middleware to support
the integration of information about distributed resources from
various sources. We present a proof of concept prototype with
various experiments to illustrate how various tasks in IoT cloud
systems can be simplified as well as to evaluate the performance
of our framework.
On Engineering Analytics of Elastic IoT Cloud SystemsHong-Linh Truong
Developing IoT cloud platforms is very challenging, as IoT
cloud platforms consist of a mix of cloud services and IoT elements, e.g.,
for sensor management, near-realtime events handling, and data analyt-
ics. Developers need several tools for deployment, control, governance
and analytics actions to test and evaluate designs of software compo-
nents and optimize the operation of di erent design con gurations. In
this paper, we describe requirements and our techniques on support-
ing the development and testing of IoT cloud platforms. We present our
choices of tools and engineering actions that help the developer to design,
test and evaluate IoT cloud platforms in multi-cloud environments.
Towards a Resource Slice Interoperability Hub for IoTHong-Linh Truong
Interoperability for IoT is a challenging problem
because it requires us to tackle (i) cross-system interoperability
issues at the IoT platform sides as well as relevant network
functions and clouds in the edge systems and data centers
and (ii) cross-layer interoperability, e.g., w.r.t. data formats,
communication protocols, data delivery mechanisms, and perfor-
mance. However, existing solutions are quite static w.r.t software
deployment and provisioning for interoperability. Many middle-
ware, services and platforms have been built and deployed as
interoperability bridges but they are not dynamically provisioned
and reconfigured for interoperability at runtime. Furthermore,
they are often not considered together with other services as a
whole in application-specific contexts. In this paper, we focus
on dynamic aspects by introducing the concept of Resource
Slice Interoperability Hub (rsiHub). Our approach leverages
existing software artifacts and services for interoperability to
create and provision dynamic resource slices, including IoT,
network functions and clouds, for addressing application-specific
interoperability requirements. We will present our key concepts,
architectures and examples toward the realization of rsiHub.
ISWC 2016 Tutorial: Semantic Web of Things M3 framework & FIESTA-IoT EU projectFIESTA-IoT
Amelie Gyrard presents a tutorial on SWOT - the Semantic Web of Things.
For further information about this work. Please visit:
http://semantic-web-of-things.appspot.com
Distributed coordination protocol for event data exchange in IoT monitoring a...Maynooth University
Publish-subscribe architecture is one of the dominating architectural styles in designing the Internet of things (IoT) monitoring applications. Establishment of a brokerless publish-subscribe system leads to exchanging a high number of control messages including advertise, subscribe and update messages. Additionally, the in-efficiency in forwarding publish messages in a resource-constrained IoT environment results in network congestion, communication delay, and energy loss.
The recent approaches in brokerless publish-subscribe systems for IoT domain introduced new communication protocols, maintaining routing tables of IoT nodes, and clustering the network. However, the efficiency in exchanging control messages does not receive much attention. In this paper, we propose an enhanced communication protocol to establish a brokerless publish-subscribe IoT system. The protocol is based on beaconing for packet dissemination. We applied a new structure that provides metadata in the packet header that facilitates the receivers regarding their next possible actions. The simulation results demonstrate that the proposed method reduces the network traffic by 28% on average and decreases the energy consumption of nodes up to 33%. The results also reveal that the number of publish messages is reduced by 10% in comparison to the baseline method.
Tennis stroke detection using inertial data of a smartwatchtionMaynooth University
To assist individuals in sports activities is one of the emerging areas of wearable applications. Among various kinds of sports, detecting tennis strokes faces unique challenges. In this sport the speed of strokes is high, enforcing wearable sensors to have high sampling rates, high-speed bus (to transfer the data to the processor), and the most importantly adequate size of high-speed memory. The constraints encourage researchers to design a custom made hardware to cope with the challenges. The research question that we are trying to address is to show how accurate a commercial smartwatch can detect tennis strokes by using various techniques in machine learning. In this paper, we propose an approach to detect three tennis strokes by utilizing a smartwatch. In our method, the smartwatch is part of a wireless network in which inertial data file is transferred to a laptop where data prepossessing and classification is performed. The data file contains acceleration and angular velocity data of the 3D accelerometer and gyroscope. We also enhanced our method with data prepossessing techniques to elevate data quality. The evaluation of our devised method shows promising results compared to a similar method.
Vin Summer, guest speaker from clicksandlinks.com, describes the issue of communicating between disparate internet-connected devices in a smart-city scenario & how Hypercat is an emerging standard that can help.
http://kkpradeeban.blogspot.com/2015/11/cassowary-middleware-platform-for.html
Abstract: Smart devices sense the environment through their sensors and leverage the contextual information derived from the sensor readings to satisfy system requirements such as energy and carbon efficiency and user preferences. Smart buildings compose of smart devices, and local sensors of the devices and device controllers in a coordinated network. Software-Defined Networking (SDN) offers a centralized view of the entire networking data plane elements to a logically centralized controller. While smart buildings and ubiquitous computing are heavily researched, later advancements in networking are not exploited in achieving tenant-aware smart buildings.
This paper describes the research for the design, prototype implementation, and preliminary assessments of Cassowary, a middleware platform for Context-Aware Smart Buildings with Software-Defined Sensor Networks. By extending SDN paradigm and leveraging the message oriented middleware protocols to seamlessly connect the smart devices of the buildings to the centralized SDN controller, Cassowary enables context-aware Software-Defined Smart Buildings.
2nd International Conference on Cloud, Big Data and Web Services (CBW 2021)ijwscjournal
2nd International Conference on Cloud, Big Data and Web Services (CBW 2021) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Cloud, Big Data and Web services. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Cloud, Big Data and web services.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
Modeling and Provisioning IoT Cloud Systems for Testing UncertaintiesHong-Linh Truong
Modern Cyber-Physical Systems (CPS) and Internet of Things (IoT)
systems consist of both loosely and tightly interactions among
various resources in IoT networks, edge servers and cloud data
centers. These elements are being built atop virtualization layers
and deployed in both edge and cloud infrastructures. They also deal
with a lot of data through the interconnection of different types of
networks and services. Therefore, several new types of uncertainties
are emerging, such as data, actuation, and elasticity uncertainties.
This triggers several challenges for testing uncertainty in such
systems. However, there is a lack of novel ways to model and
prepare the right infrastructural elements covering requirements
for testing emerging uncertainties. In this paper, first we present
techniques for modeling CPS/IoT Systems and their uncertainties
to be tested. Second, we introduce techniques for determining and
generating deployment configuration for testing in different IoT
and cloud infrastructures. We illustrate our work with a real-world
use case for monitoring and analysis of Base Transceiver Stations.
Fi cloudpresentationgyrardaugust2015 v2Amélie Gyrard
Cross-Domain Internet of Things Application Development: M3 Framework and Evaluation
FiCloud 24-26 August 2015, Rome, Italy
Semantic Web technologies, Semantic Interoperability,
Semantic Web Of Things (SWoT), Internet of Things (IoT), Web of Things (WoT), Machine to Machine (M2M), Ubiquitous Computing, Pervasive Computing, Context Awareness
Linked Open Vocabularies for Internet of Things (LOV4IoT),
Sensor-based Linked Open Rules (S-LOR),
Machine-to-Machine Measurement (M3) framework,
sharing and reusing domain knowledge
HINC – Harmonizing Diverse Resource Information Across IoT, Network Functions...Hong-Linh Truong
Effective resource management in IoT systems must
represent IoT resources, edge-to-cloud network capabilities, and
cloud resources at a high-level, while being able to link to diverse
low-level types of IoT devices, network functions, and cloud
computing infrastructures. Hence resource management in such
a context demands a highly distributed and extensible approach,
which allows us to integrate and provision IoT, network functions,
and cloud resources from various providers. In this paper, we
address this crucial research issue. We first present a high-
level information model for virtualized IoT, network functions
and cloud resource modeling, which also incorporates software-
defined gateways, network slicing and data centers. This model
is used to glue various low-level resource models from different
types of infrastructures in a distributed manner to capture
sets of resources spanning across different sub-networks. We
then develop a set of utilities and a middleware to support
the integration of information about distributed resources from
various sources. We present a proof of concept prototype with
various experiments to illustrate how various tasks in IoT cloud
systems can be simplified as well as to evaluate the performance
of our framework.
On Engineering Analytics of Elastic IoT Cloud SystemsHong-Linh Truong
Developing IoT cloud platforms is very challenging, as IoT
cloud platforms consist of a mix of cloud services and IoT elements, e.g.,
for sensor management, near-realtime events handling, and data analyt-
ics. Developers need several tools for deployment, control, governance
and analytics actions to test and evaluate designs of software compo-
nents and optimize the operation of di erent design con gurations. In
this paper, we describe requirements and our techniques on support-
ing the development and testing of IoT cloud platforms. We present our
choices of tools and engineering actions that help the developer to design,
test and evaluate IoT cloud platforms in multi-cloud environments.
Towards a Resource Slice Interoperability Hub for IoTHong-Linh Truong
Interoperability for IoT is a challenging problem
because it requires us to tackle (i) cross-system interoperability
issues at the IoT platform sides as well as relevant network
functions and clouds in the edge systems and data centers
and (ii) cross-layer interoperability, e.g., w.r.t. data formats,
communication protocols, data delivery mechanisms, and perfor-
mance. However, existing solutions are quite static w.r.t software
deployment and provisioning for interoperability. Many middle-
ware, services and platforms have been built and deployed as
interoperability bridges but they are not dynamically provisioned
and reconfigured for interoperability at runtime. Furthermore,
they are often not considered together with other services as a
whole in application-specific contexts. In this paper, we focus
on dynamic aspects by introducing the concept of Resource
Slice Interoperability Hub (rsiHub). Our approach leverages
existing software artifacts and services for interoperability to
create and provision dynamic resource slices, including IoT,
network functions and clouds, for addressing application-specific
interoperability requirements. We will present our key concepts,
architectures and examples toward the realization of rsiHub.
ISWC 2016 Tutorial: Semantic Web of Things M3 framework & FIESTA-IoT EU projectFIESTA-IoT
Amelie Gyrard presents a tutorial on SWOT - the Semantic Web of Things.
For further information about this work. Please visit:
http://semantic-web-of-things.appspot.com
Distributed coordination protocol for event data exchange in IoT monitoring a...Maynooth University
Publish-subscribe architecture is one of the dominating architectural styles in designing the Internet of things (IoT) monitoring applications. Establishment of a brokerless publish-subscribe system leads to exchanging a high number of control messages including advertise, subscribe and update messages. Additionally, the in-efficiency in forwarding publish messages in a resource-constrained IoT environment results in network congestion, communication delay, and energy loss.
The recent approaches in brokerless publish-subscribe systems for IoT domain introduced new communication protocols, maintaining routing tables of IoT nodes, and clustering the network. However, the efficiency in exchanging control messages does not receive much attention. In this paper, we propose an enhanced communication protocol to establish a brokerless publish-subscribe IoT system. The protocol is based on beaconing for packet dissemination. We applied a new structure that provides metadata in the packet header that facilitates the receivers regarding their next possible actions. The simulation results demonstrate that the proposed method reduces the network traffic by 28% on average and decreases the energy consumption of nodes up to 33%. The results also reveal that the number of publish messages is reduced by 10% in comparison to the baseline method.
Tennis stroke detection using inertial data of a smartwatchtionMaynooth University
To assist individuals in sports activities is one of the emerging areas of wearable applications. Among various kinds of sports, detecting tennis strokes faces unique challenges. In this sport the speed of strokes is high, enforcing wearable sensors to have high sampling rates, high-speed bus (to transfer the data to the processor), and the most importantly adequate size of high-speed memory. The constraints encourage researchers to design a custom made hardware to cope with the challenges. The research question that we are trying to address is to show how accurate a commercial smartwatch can detect tennis strokes by using various techniques in machine learning. In this paper, we propose an approach to detect three tennis strokes by utilizing a smartwatch. In our method, the smartwatch is part of a wireless network in which inertial data file is transferred to a laptop where data prepossessing and classification is performed. The data file contains acceleration and angular velocity data of the 3D accelerometer and gyroscope. We also enhanced our method with data prepossessing techniques to elevate data quality. The evaluation of our devised method shows promising results compared to a similar method.
Vin Summer, guest speaker from clicksandlinks.com, describes the issue of communicating between disparate internet-connected devices in a smart-city scenario & how Hypercat is an emerging standard that can help.
http://kkpradeeban.blogspot.com/2015/11/cassowary-middleware-platform-for.html
Abstract: Smart devices sense the environment through their sensors and leverage the contextual information derived from the sensor readings to satisfy system requirements such as energy and carbon efficiency and user preferences. Smart buildings compose of smart devices, and local sensors of the devices and device controllers in a coordinated network. Software-Defined Networking (SDN) offers a centralized view of the entire networking data plane elements to a logically centralized controller. While smart buildings and ubiquitous computing are heavily researched, later advancements in networking are not exploited in achieving tenant-aware smart buildings.
This paper describes the research for the design, prototype implementation, and preliminary assessments of Cassowary, a middleware platform for Context-Aware Smart Buildings with Software-Defined Sensor Networks. By extending SDN paradigm and leveraging the message oriented middleware protocols to seamlessly connect the smart devices of the buildings to the centralized SDN controller, Cassowary enables context-aware Software-Defined Smart Buildings.
2nd International Conference on Cloud, Big Data and Web Services (CBW 2021)ijwscjournal
2nd International Conference on Cloud, Big Data and Web Services (CBW 2021) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Cloud, Big Data and Web services. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Cloud, Big Data and web services.
Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.
Modeling and Provisioning IoT Cloud Systems for Testing UncertaintiesHong-Linh Truong
Modern Cyber-Physical Systems (CPS) and Internet of Things (IoT)
systems consist of both loosely and tightly interactions among
various resources in IoT networks, edge servers and cloud data
centers. These elements are being built atop virtualization layers
and deployed in both edge and cloud infrastructures. They also deal
with a lot of data through the interconnection of different types of
networks and services. Therefore, several new types of uncertainties
are emerging, such as data, actuation, and elasticity uncertainties.
This triggers several challenges for testing uncertainty in such
systems. However, there is a lack of novel ways to model and
prepare the right infrastructural elements covering requirements
for testing emerging uncertainties. In this paper, first we present
techniques for modeling CPS/IoT Systems and their uncertainties
to be tested. Second, we introduce techniques for determining and
generating deployment configuration for testing in different IoT
and cloud infrastructures. We illustrate our work with a real-world
use case for monitoring and analysis of Base Transceiver Stations.
Fi cloudpresentationgyrardaugust2015 v2Amélie Gyrard
Cross-Domain Internet of Things Application Development: M3 Framework and Evaluation
FiCloud 24-26 August 2015, Rome, Italy
Semantic Web technologies, Semantic Interoperability,
Semantic Web Of Things (SWoT), Internet of Things (IoT), Web of Things (WoT), Machine to Machine (M2M), Ubiquitous Computing, Pervasive Computing, Context Awareness
Linked Open Vocabularies for Internet of Things (LOV4IoT),
Sensor-based Linked Open Rules (S-LOR),
Machine-to-Machine Measurement (M3) framework,
sharing and reusing domain knowledge
My presentation at The 2nd Portugal|UT Austin summer school in systems and networking and
EMJD-DC spring event 2016
June 3, 2016. Costa da Caparica, Portugal describing my thesis work
2nd International Conference on Cloud, Big Data and IoT (CBIoT 2021)albert ca
2nd International Conference on Cloud, Big Data and IoT (CBIoT 2021) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Cloud, Big Data and IoT. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Cloud, Big Data and IoT.
2 nd International Conference on Cloud, Big Data and IoT (CBIoT 2021)ijdms
2 nd International Conference on Cloud, Big Data and IoT (CBIoT 2021) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Cloud, Big Data and IoT. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Cloud, Big Data and IoT.
2nd International Conference on Cloud, Big Data and IoT (CBIoT 2021)ijdms
2nd International Conference on Cloud, Big Data and IoT (CBIoT 2021) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research
projects in the areas of Cloud, Big Data and IoT. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Cloud, Big Data and IoT.
2nd International Conference on Cloud, Big Data and IoT (CBIoT 2021)ijccsa
2nd International Conference on Cloud, Big Data and IoT (CBIoT 2021) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research
projects in the areas of Cloud, Big Data and IoT. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Cloud, Big Data and IoT.
2nd International Conference on Cloud, Big Data and IoT (CBIoT 2021)IJCNCJournal
2nd International Conference on Cloud, Big Data and IoT (CBIoT 2021) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Cloud, Big Data and IoT. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Cloud, Big Data and IoT.
2 nd International Conference on Cloud, Big Data and IoT (CBIoT 2021)ijwscjournal
2
nd International Conference on Cloud, Big Data and IoT (CBIoT 2021) will act as a
major forum for the presentation of innovative ideas, approaches, developments, and research
projects in the areas of Cloud, Big Data and IoT. It will also serve to facilitate the exchange
of information between researchers and industry professionals to discuss the latest issues and
advancement in the area of Cloud, Big Data and IoT.
Integrated Analytics for IIoT Predictive Maintenance using IoT Big Data Cloud...Hong-Linh Truong
For predictive maintenance of equipment with In-
dustrial Internet of Things (IIoT) technologies, existing IoT Cloud
systems provide strong monitoring and data analysis capabilities
for detecting and predicting status of equipment. However, we
need to support complex interactions among different software
components and human activities to provide an integrated analyt-
ics, as software algorithms alone cannot deal with the complexity
and scale of data collection and analysis and the diversity of
equipment, due to the difficulties of capturing and modeling
uncertainties and domain knowledge in predictive maintenance.
In this paper, we describe how we design and augment complex
IoT big data cloud systems for integrated analytics of IIoT
predictive maintenance. Our approach is to identify various
complex interactions for solving system incidents together with
relevant critical analytics results about equipment. We incorpo-
rate humans into various parts of complex IoT Cloud systems
to enable situational data collection, services management, and
data analytics. We leverage serverless functions, cloud services,
and domain knowledge to support dynamic interactions between
human and software for maintaining equipment. We use a real-
world maintenance of Base Transceiver Stations to illustrate our
engineering approach which we have prototyped with state-of-
the art cloud and IoT technologies, such as Apache Nifi, Hadoop,
Spark and Google Cloud Functions.
PAPER SUBMISSION START NOW-4th International Conference on Cloud, Big Data an...IJDKP
4th International Conference on Cloud, Big Data and IoT (CBIoT 2023)
July 29 ~ 30, 2023, London, United Kingdom
Webpage URL:
https://itcse2023.org/cbiot/index
Submission Deadline: July 01, 2023
Contact us:
Here's where you can reach us: cbiot@itcse2023.org (or) cbiot.conf@yahoo.com
Submission URL:
https://itcse2023.org/submission/index.php
2 nd International Conference on Cloud, Big Data and IoT (CBIoT 2021)ijwscjournal
2
nd International Conference on Cloud, Big Data and IoT (CBIoT 2021) will act as a
major forum for the presentation of innovative ideas, approaches, developments, and research
projects in the areas of Cloud, Big Data and IoT. It will also serve to facilitate the exchange
of information between researchers and industry professionals to discuss the latest issues and
advancement in the area of Cloud, Big Data and IoT.
2nd International Conference on Cloud, Big Data and IoT (CBIoT 2021)albert ca
2nd International Conference on Cloud, Big Data and IoT (CBIoT 2021) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Cloud, Big Data and IoT. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Cloud, Big Data and IoT.
2nd International Conference on Cloud, Big Data and IoT (CBIoT 2021)ijdms
2nd International Conference on Cloud, Big Data and IoT (CBIoT 2021) will act as a major forum for the presentation of innovative ideas, approaches, developments, and research projects in the areas of Cloud, Big Data and IoT. It will also serve to facilitate the exchange of information between researchers and industry professionals to discuss the latest issues and advancement in the area of Cloud, Big Data and IoT.
Independent of the source of data, the integration of event streams into an Enterprise Architecture gets more and more important in the world of sensors, social media streams and Internet of Things. Events have to be accepted quickly and reliably, they have to be distributed and analysed, often with many consumers or systems interested in all or part of the events. Dependent on the size and quantity of such events, this can quickly be in the range of Big Data. How can we efficiently collect and transmit these events? How can we make sure that we can always report over historical events? How can these new events be integrated into traditional infrastructure and application landscape?
Starting with a product and technology neutral reference architecture, we will then present different solutions using Open Source frameworks and the Oracle Stack both for on premises as well as the cloud.
Novel authentication framework for securing communication in internet-of-things IJECEIAES
Internet-of-Things (IoT) offers a big boon towards a massive network of connected devices and is considered to offer coverage to an exponential number of the smart appliance in the very near future. Owing to the nascent stage of evolution of IoT, it is shrouded by security loopholes because of various reasons. Review of existing research-based solution highlights the usage of conventional cryptographic-based solution over the traditional mechanism of data forwarding process between IoT nodes and gateway. The proposed system presents a novel solution to this problem by a model that is capable of performing a highly secured and cost-effective authentication process. The proposed system introduces Authentication Using Signature (AUS) as well as Security with Complexity Reduction (SCR) for the purpose to resist participation of any form of unknown threats. The outcome of the model shows better security strength with faster response time and energy saving of the IoT nodes.
Similar to ICSOC 2015 Panel: Service Engineering Analytics in the IoT Cloud Systems (20)
Testing Uncertainty of Cyber-Physical Systems in IoT Cloud Infrastructures: C...Hong-Linh Truong
Today’s cyber-physical systems (CPS) span IoT and cloud-based
datacenter infrastructures, which are highly heterogeneous with
various types of uncertainty. Thus, testing uncertainties in these
CPS is a challenging and multidisciplinary activity. We need several
tools for modeling, deployment, control, and analytics to test and
evaluate uncertainties for different configurations of the same CPS.
In this paper, we explain why using state-of-the art model-driven
engineering (MDE) and model-based testing (MBT) tools is not
adequate for testing uncertainties of CPS in IoT Cloud infrastruc-
tures. We discus how to combine them with techniques for elastic
execution to dynamically provision both CPS under test and testing
utilities to perform tests in various IoT Cloud infrastructures.
On Supporting Contract-aware IoT Dataspace ServicesHong-Linh Truong
Advances in the Internet of Things (IoT) enable a
huge number of connected devices that produce large amounts
of data. Such data is increasingly shared among various
stakeholders to support advanced (predictive) analytics and
precision decision making in different application domains like
smart cities and industrial internet. Currently there are several
platforms that facilitate sharing, buying and selling IoT data.
However, these platforms do not support the establishment and
monitoring of usage contracts for IoT data. In this paper we
address this research issue by introducing a new extensible
platform for enabling contract-aware IoT dataspace services,
which supports data contract specification and IoT data flow
monitoring based on established data contracts. We present
a general architecture of contract monitoring services for
IoT dataspaces and evaluate our platform through illustrative
examples with real-world datasets and through performance
analysis.
Governing Elastic IoT Cloud Systems under UncertaintiesHong-Linh Truong
we introduce U-GovOps – a novel framework for
dynamic, on-demand governance of elastic IoT cloud systems under
uncertainty. We introduce a declarative policy language to simplify
the development of uncertainty- and elasticity-aware governance
strategies. Based on that we develop runtime mechanisms, which
enable mitigating the uncertainties by monitoring and governing
the IoT cloud systems through specified strategies.
On Developing and Operating of Data Elasticity Management ProcessHong-Linh Truong
The Data-as-a-Service (DaaS) model enables data analytics
providers to provision and offer data assets to their consumers. To achieve quality of results for the data assets, we need to enable DaaS elasticity by trading off quality and cost of resource usage. However, most of the current work on DaaS is focused on infrastructure elasticity, such as scaling
in/out data nodes and virtual machines based on performance and usage, without considering the data assets' quality of results. In this talk, we introduce an elastic data asset model for provisioning data enriched with quality of results. Based on this model, we present techniques to generate and operate data elasticity management process that is used to
monitor, evaluate and enforce expected quality of results. We develop a runtime system to guarantee the quality of resulting data assets provisioned on-demand. We present several experiments to demonstrate the usefulness of our proposed techniques.
TUW-ASE Summer 2015 - Quality of Result-aware data analyticsHong-Linh Truong
This is a lecture from the advanced service engineering course from the Vienna University of Technology. See http://dsg.tuwien.ac.at/teaching/courses/ase
TUW-ASE Summer 2015: Advanced service-based data analytics: Models, Elasticit...Hong-Linh Truong
This is a lecture from the advanced service engineering course from the Vienna University of Technology. See http://dsg.tuwien.ac.at/teaching/courses/ase
TUW-ASE Summer 2015: Data marketplaces: core models and conceptsHong-Linh Truong
This is a lecture from the advanced service engineering course from the Vienna University of Technology. See http://dsg.tuwien.ac.at/teaching/courses/ase/
Emerging Dynamic TUW-ASE Summer 2015 - Distributed Systems and Challenges for...Hong-Linh Truong
This is a lecture from the advanced service engineering course from the Vienna University of Technology. See http://dsg.tuwien.ac.at/teaching/courses/ase/
Francesca Gottschalk - How can education support child empowerment.pptxEduSkills OECD
Francesca Gottschalk from the OECD’s Centre for Educational Research and Innovation presents at the Ask an Expert Webinar: How can education support child empowerment?
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
Read| The latest issue of The Challenger is here! We are thrilled to announce that our school paper has qualified for the NATIONAL SCHOOLS PRESS CONFERENCE (NSPC) 2024. Thank you for your unwavering support and trust. Dive into the stories that made us stand out!
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
June 3, 2024 Anti-Semitism Letter Sent to MIT President Kornbluth and MIT Cor...Levi Shapiro
Letter from the Congress of the United States regarding Anti-Semitism sent June 3rd to MIT President Sally Kornbluth, MIT Corp Chair, Mark Gorenberg
Dear Dr. Kornbluth and Mr. Gorenberg,
The US House of Representatives is deeply concerned by ongoing and pervasive acts of antisemitic
harassment and intimidation at the Massachusetts Institute of Technology (MIT). Failing to act decisively to ensure a safe learning environment for all students would be a grave dereliction of your responsibilities as President of MIT and Chair of the MIT Corporation.
This Congress will not stand idly by and allow an environment hostile to Jewish students to persist. The House believes that your institution is in violation of Title VI of the Civil Rights Act, and the inability or
unwillingness to rectify this violation through action requires accountability.
Postsecondary education is a unique opportunity for students to learn and have their ideas and beliefs challenged. However, universities receiving hundreds of millions of federal funds annually have denied
students that opportunity and have been hijacked to become venues for the promotion of terrorism, antisemitic harassment and intimidation, unlawful encampments, and in some cases, assaults and riots.
The House of Representatives will not countenance the use of federal funds to indoctrinate students into hateful, antisemitic, anti-American supporters of terrorism. Investigations into campus antisemitism by the Committee on Education and the Workforce and the Committee on Ways and Means have been expanded into a Congress-wide probe across all relevant jurisdictions to address this national crisis. The undersigned Committees will conduct oversight into the use of federal funds at MIT and its learning environment under authorities granted to each Committee.
• The Committee on Education and the Workforce has been investigating your institution since December 7, 2023. The Committee has broad jurisdiction over postsecondary education, including its compliance with Title VI of the Civil Rights Act, campus safety concerns over disruptions to the learning environment, and the awarding of federal student aid under the Higher Education Act.
• The Committee on Oversight and Accountability is investigating the sources of funding and other support flowing to groups espousing pro-Hamas propaganda and engaged in antisemitic harassment and intimidation of students. The Committee on Oversight and Accountability is the principal oversight committee of the US House of Representatives and has broad authority to investigate “any matter” at “any time” under House Rule X.
• The Committee on Ways and Means has been investigating several universities since November 15, 2023, when the Committee held a hearing entitled From Ivory Towers to Dark Corners: Investigating the Nexus Between Antisemitism, Tax-Exempt Universities, and Terror Financing. The Committee followed the hearing with letters to those institutions on January 10, 202
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
Thesis Statement for students diagnonsed withADHD.ppt
ICSOC 2015 Panel: Service Engineering Analytics in the IoT Cloud Systems
1. ICSOC 2015 Panel:
Service Engineering Analytics in the IoT
Cloud Systems
Hong-Linh Truong
Distributed Systems Group
Vienna University of Technology
truong@dsg.tuwien.ac.at
http://dsg.tuwien.ac.at/staff/truong
ICSOC 2015, 19 Nov, Goa, India 1
2. IoT and Cloud Structures and
Communities
IoT elements at the edge
Software sensors and actuators
Gateways: lightweighted hardware/software acting as intermediate
nodes between sensors/actuators and back-end cloud services
Cloud services at the data centers
Software services and data: complex event processing, data
services, data analytics, etc.
Connectivity
Network middleware and protocols
IoT cloud systems
Systems blending IoT elements and cloud services
ICSOC 2015, 19 Nov, Goa, India 2
3. Service computing view
ICSOC 2015, 19 Nov, Goa, India 3
Large-scale and
heterogeneous
distributed systems of
IoT
Complex services from multiple
providers provisioned in different data
centers
Elastic (Data/Analytics) Service
(cost, resource, quality)
Elastic (Data/Analytics) Service
(cost, resource, quality)
Hong Linh Truong,
Schahram Dustdar:
Programming Elasticity
in the Cloud. IEEE
Computer 48(3): 87-90
(2015)
Hong Linh Truong,
Schahram Dustdar:
Programming Elasticity
in the Cloud. IEEE
Computer 48(3): 87-90
(2015)
4. Novel service models – application domains and business models
„Compositions“ of distributed data and analytics capabilities from IoT
and clouds
Quality of results, smart data & service contract, elastic functionality
Novel service execution composition and management
Programming techniques for composition of IoT and cloud elements
Embracing uncertainties of machines, data, network, and humans
Service elasticity coordination of multiple IoT sites and big data centers
Intelligent management delegation algorithms
Dynamic context-aware compliance governance
Novel engineering analytics techniques and tools
Characterization of end-to-end metrics of services
Linked service information from multiple software layers in different
phases in the development and operation
Deployment, control and analysis tools for multiple software layers in
blending IoT and cloud systems
ICSOC 2015, 19 Nov, Goa, India 4
Research focus