This document provides an overview of various Internet of Things (IoT) reference architectures from standards organizations, consortia, analysts, and industry. It begins with an outline describing NIST models for cyber-physical systems, big data, cloud computing, and their combinations. It then discusses extending NIST frameworks to system of systems and outlines reference architectures from groups like IIC, oneM2M, FIWARE, and analysts like Gartner. Next, it summarizes industry architectures from Cisco, Oracle, Microsoft, and others. It concludes with potential IoT standards. The document aims to provide a comprehensive survey of existing IoT reference architectures.
Industrial IoT landscape and technology, differences between consumer and industrial IoT, Industry 4.0 and Industrial Internet.LPWAN and SIGFOX network
Wireless sensor networks consist of small sensor nodes that monitor physical conditions and communicate wirelessly. They have limited capabilities but can be deployed widely. This document discusses wireless sensor networks including their features, applications, challenges, hardware platforms like motes, software platforms like TinyOS, and existing systems like Zigbee and CZARNET. It provides an overview of wireless sensor networks and their implementation.
This document summarizes information about wireless sensor networks, including 6LoWPAN and LPWAN technologies. 6LoWPAN allows sensors to connect to the internet using IPv6 over low-power wireless personal area networks. It supports mesh networking and standard routing protocols. LPWAN technologies like Sigfox and LoRaWAN enable long range connectivity for sensors using low-power transmissions over licensed frequency bands. They have limitations in throughput but allow direct communication between sensors and cloud servers over public networks without the need for gateways. The presenter works for CETIC, a research center that investigates solutions for wireless sensor networks and participates in defining 6LoWPAN standards.
The slides defines IoT and show the differnce between M2M and IoT vision. It then describes the different layers that depicts the functional architecture of IoT, standard organizations and bodies and other IoT technology alliances, low power IoT protocols, IoT Platform components, and finally gives a short description to one of IoT low power application protocols (MQTT).
This document provides an overview of Narrow Band Internet of Things (NB IoT) technology. It begins with introductions to IoT and the key elements that make up IoT systems. It then describes NB IoT, including its objectives to enable low cost, long battery life connections for a large number of devices. The document outlines the NB IoT standards development and provides details on its deployment scenarios, operation modes, architecture and characteristics. It also summarizes the different layers of the NB IoT protocol stack, including the radio resource control layer.
This document summarizes an Internet of Things (IoT) meetup that covered various topics:
- Introduction to IoT and how objects can transfer data over networks.
- Introduction to cloud computing and how resources are shared over the internet.
- IoT architecture including things, gateways, and networks/cloud.
- IoT gateways like Raspberry Pi that interface devices and cloud.
- Sensor interfaces like XBee and RS-485 that connect to gateways.
- Network interfaces like WiFi and GPRS to connect gateways to cloud.
- Cloud architecture models from various sources.
- Data acquisition from devices using open-source Ponte software.
- Data storage
5G SA security: a comprehensive overview of threats, vulnerabilities and rem...PositiveTechnologies
This document discusses security threats and vulnerabilities in 5G standalone networks. It begins by introducing the speakers and providing background on Positive Technologies' experience in telecommunications security. It then outlines various attack vectors such as man-in-the-middle attacks and denial-of-service attacks on the 5G standalone core. The document explains that protocols like PFCP are similarly vulnerable to attacks as previous protocols like GTP. It argues that network operators should focus on prevention to avoid costly security failures. Finally, it discusses the challenges network operators face and how Positive Technologies can help through automated security products and expert services.
Industrial IoT landscape and technology, differences between consumer and industrial IoT, Industry 4.0 and Industrial Internet.LPWAN and SIGFOX network
Wireless sensor networks consist of small sensor nodes that monitor physical conditions and communicate wirelessly. They have limited capabilities but can be deployed widely. This document discusses wireless sensor networks including their features, applications, challenges, hardware platforms like motes, software platforms like TinyOS, and existing systems like Zigbee and CZARNET. It provides an overview of wireless sensor networks and their implementation.
This document summarizes information about wireless sensor networks, including 6LoWPAN and LPWAN technologies. 6LoWPAN allows sensors to connect to the internet using IPv6 over low-power wireless personal area networks. It supports mesh networking and standard routing protocols. LPWAN technologies like Sigfox and LoRaWAN enable long range connectivity for sensors using low-power transmissions over licensed frequency bands. They have limitations in throughput but allow direct communication between sensors and cloud servers over public networks without the need for gateways. The presenter works for CETIC, a research center that investigates solutions for wireless sensor networks and participates in defining 6LoWPAN standards.
The slides defines IoT and show the differnce between M2M and IoT vision. It then describes the different layers that depicts the functional architecture of IoT, standard organizations and bodies and other IoT technology alliances, low power IoT protocols, IoT Platform components, and finally gives a short description to one of IoT low power application protocols (MQTT).
This document provides an overview of Narrow Band Internet of Things (NB IoT) technology. It begins with introductions to IoT and the key elements that make up IoT systems. It then describes NB IoT, including its objectives to enable low cost, long battery life connections for a large number of devices. The document outlines the NB IoT standards development and provides details on its deployment scenarios, operation modes, architecture and characteristics. It also summarizes the different layers of the NB IoT protocol stack, including the radio resource control layer.
This document summarizes an Internet of Things (IoT) meetup that covered various topics:
- Introduction to IoT and how objects can transfer data over networks.
- Introduction to cloud computing and how resources are shared over the internet.
- IoT architecture including things, gateways, and networks/cloud.
- IoT gateways like Raspberry Pi that interface devices and cloud.
- Sensor interfaces like XBee and RS-485 that connect to gateways.
- Network interfaces like WiFi and GPRS to connect gateways to cloud.
- Cloud architecture models from various sources.
- Data acquisition from devices using open-source Ponte software.
- Data storage
5G SA security: a comprehensive overview of threats, vulnerabilities and rem...PositiveTechnologies
This document discusses security threats and vulnerabilities in 5G standalone networks. It begins by introducing the speakers and providing background on Positive Technologies' experience in telecommunications security. It then outlines various attack vectors such as man-in-the-middle attacks and denial-of-service attacks on the 5G standalone core. The document explains that protocols like PFCP are similarly vulnerable to attacks as previous protocols like GTP. It argues that network operators should focus on prevention to avoid costly security failures. Finally, it discusses the challenges network operators face and how Positive Technologies can help through automated security products and expert services.
The document introduces ZigBee, a wireless technology standard used for sensor and control networks. ZigBee offers low-cost, low-power wireless connectivity for devices. It uses the IEEE 802.15.4 standard and is intended for applications that require long battery life and secure networking. ZigBee supports mesh networking and can connect thousands of devices together over distances of up to 100 meters. Common applications of ZigBee include wireless light switches, HVAC controls, and other smart home and industrial IoT uses.
This document provides an overview of Low Power Wide Area Networks (LPWAN) technologies. It discusses the key characteristics of LPWAN such as operating at a long range of up to 10km using little battery power and transmitting small amounts of data. It summarizes the major LPWAN technologies including LoRaWAN, Sigfox, NB-IoT and LTE-CAT M1. It also outlines the growth in the number of LPWAN devices, networks and applications. Examples of common LPWAN uses cases like smart metering and asset tracking are also highlighted.
This document provides an overview of low-power wide-area networks (LPWAN) for internet of things (IoT) applications. It introduces different LPWAN technologies including LoRa, Sigfox, and NB-IoT and compares their characteristics such as data rates, power consumption, range, and security features. The document also discusses LPWAN standards from various standards bodies and the benefits of using LPWAN networks, concluding that each technology is suited for different IoT use cases depending on cost, battery life, range, and communication needs.
Building a quantum internet is a key ambition for many countries around the world, such a breakthrough will give them competitive advantage in a promising disruptive technology, and opens a new world of innovations and unlimited possibilities.
This document discusses the convergence of 5G and Internet of Things (IoT) technologies. It begins by defining each technology individually, with 5G offering speeds up to 20Gbps and lower latency compared to 4G, while IoT refers to an ecosystem of connected devices that collect and analyze physical data. The document then explains how 5G can improve all components of IoT by providing more bandwidth for sensors, faster network transmission, enabling real-time cloud/AI processing, and supporting more advanced applications. Several applications of 5G in IoT are described, such as for automotive, industrial and healthcare use cases. Finally, some challenges of the technologies converging are presented, such as operating across spectrum bands and establishing business models
5G Network Managament for Inteligent Transport Systemslebarka
This presentation discusses managing 5G networks for intelligent transport systems. It covers the need for effective network management as systems grow in complexity. 5G networks can provide a common platform to meet the diverse needs of multiple industries through network slicing. This allows customized quality of service and isolation of services. Automation, semantic technologies, and dynamic planning tools are discussed as ways to manage complexity. Examples of transport use cases like container logistics and city transport are presented. In conclusion, mobile networks are transforming to be more relevant to diverse industries through network slicing and automation.
These slides explain the Protocol Framework for 5G mmWave Backhaul Network, as a part of a project presentation for the course Telecom Architecture at Northeastern University.
The document discusses the industrial internet of things (IIoT), which uses internet of things technologies to enhance manufacturing and industrial processes. It defines IoT as making everything addressable, accessible, and actionable, while IIoT specifically refers to using these technologies in industrial settings. IIoT enables benefits like predictive maintenance, smart logistics, and product optimization through big data analysis and cloud computing. However, challenges include identifying connected things, managing large amounts of data, and integrating existing infrastructure. The document provides examples of IIoT applications in areas like industrial automation, smart robotics, and predictive maintenance.
The Smart University is the vision of the university as a platform that acquires and delivers foundational data to drive the analysis and improvement of the teaching & learning environment. Sensor-data, linked (open) data, and formalised teaching knowledge are the three sources that we are tapping. In this talk I presented first results of our efforts.
Low-cost motion detection and other sensors coupled with low-cost credit-card sized computers such as the Raspberry Pi open up opportunities to equip rooms with sensors. As the Raspberry Pi is a full-fledged computing device not only can one acquire data, but also process it in context.
Case-based reasoning is a problem-solving approach that allows to capture and re-use experience. With our toolset around the myCBR Workbench we started formalising teaching experience in Applied Sound Engineering and gold ore pretreatment knowledge to support students in their individual learning situations.
You can learn more about the Smart University here: http://smartuniversity.uwl.ac.uk
5G has been projected as a catalyst in driving the adoption of AI, IoT and robotics. The security environment as we know in a pre-5G world is already relatively complex. Various discussions over its security concern are being raised, in anticipation of 5G especially in its use in IoT and autonomous systems.
The speaker intends to place the application of 5G in perspective of enterprise ecosystem. By breaking down the ecosystem into components, reviewing the concerns and requirements, the resolution and implementation of security controls could be mapped into respective roles, such as telco engineer, IoT developer, security professional and enterprise architect. Bringing us to a shared responsibility model, the key to creating a more secure 5G and IoT environment.
The document provides an overview of the Industrial Internet of Things (IIoT) market. Some key points:
- The IIoT market is expected to be worth $135 billion in 2016 and reach $590 billion by 2022, growing at a CAGR of 28.26%.
- Major drivers include optimizing asset utilization, reducing costs, and creating new revenue streams. Restraints include security/privacy concerns and lack of standards.
- The US is projected to gain $6.1 trillion in GDP by 2030 from IIoT, while China could gain $1.8 trillion with enhanced investments and measures.
- The market can be segmented by services, software, platforms
VRF (Virtual Routing and Forwarding) is a technology that allows multiple instances of a routing table to
co-exist within the same router at the same time. This increases functionality by allowing network paths
to be segmented without using multiple devices. Because traffic is automatically segregated, VRF also
increases network security and can eliminate the need for encryption and authentication. Internet
service providers (ISPs) often take advantage of VRF to create separate virtual private networks (VPNs)
for customers; thus the technology is also referred to as VPN routing and forwarding. Because the
routing instances are independent, the same or overlapping IP addresses can be used without
conflicting with each other.
This document discusses the evolution of mobile phone technology from 0G to 6G. It provides details on the key features and technologies of each generation. 6G is described as providing terabit transmission speeds, zero distance connectivity, and availability in 2020. It will utilize technologies like smart antennas, ultra wideband radio, and fiber optic networks to allow for incredible data throughput and reduced lag for applications like gaming. The document concludes that 6G will be both user-centric and service-centric, representing the next step in connecting people worldwide through wireless networks.
This document provides an overview of Internet of Things (IoT) concepts including what IoT is, sample IoT devices, difference between microcontrollers and microprocessors, popular IoT hardware platforms, categories of IoT, connectivity approaches, protocols, frameworks, tools and cloud platforms. Key topics covered include common IoT devices, how IoT systems connect devices to apps and the cloud, open source frameworks for device integration, and platforms for ingesting and analyzing IoT data.
This document provides an overview of Vehicular Ad-Hoc Networks (VANETs). It discusses how VANETs allow vehicle-to-vehicle and vehicle-to-infrastructure communication using technologies like Dedicated Short Range Communication. It describes the challenges of VANETs including routing delays and security issues. Finally, it outlines some of the safety, convenience and commercial applications that are possible with VANETs such as improved traffic management and navigation services.
HITB Labs: Practical Attacks Against 3G/4G Telecommunication NetworksJim Geovedi
This document provides an overview of an agenda for a presentation on practical attacks against 3G/4G telecommunication networks. The presentation covers topics such as an overview of 3G and 4G standards and networks, backhaul networks, protocols used in telecom backends like GTP and SCTP, and exercises that will be performed in a lab environment using tools like gtp_scan, apnbf, and dizzy to demonstrate attacks.
What is Quantum Computing
What is Quantum bits (Qubit)
What is Reversible Logic gates and Logic Circuits
What is Quantum Neuron (Quron)
What are the methods of implementing ANN using Quantum computing
This document discusses wireless sensor networks and their role in the Internet of Things. It defines sensor networks and their architecture, including sensor nodes that communicate wirelessly to a base station. It outlines challenges for sensor networks like fault tolerance, scalability, and quality of service. It also describes how sensor networks can be integrated into the Internet of Things through different approaches, with the first using a single gateway and later approaches using hybrid networks and access points. Applications of sensor networks in IoT include wearable devices collecting biometric data and communicating it to servers.
"The Arrival of Quantum Computing" by Will ZengImpact.Tech
Slides from the Impact.tech seminar about quantum computing, given by Will Zeng. The presentation addresses the technologies, the actors, and the market around quantum computing.
If there is a sense of reality, there must be a sense of possibility.
Impact.tech Launch Seminars are meant to give entrepreneurs and investors a launch into a topic where they can apply their skills to make a major positive impact for humanity and the world.
Standards and Open Source for Big Data, Cloud, and IoTBob Marcus
This document provides an overview of standards and open source activities related to IoT, cloud, and big data. It discusses how standards will be necessary for interoperability across heterogeneous IoT systems, though many gaps currently exist between various standards efforts. Open source can contribute significantly but is not yet playing as central a role in IoT as it does in big data. The document then outlines and provides references for several emerging IoT standards and open source projects.
The document introduces ZigBee, a wireless technology standard used for sensor and control networks. ZigBee offers low-cost, low-power wireless connectivity for devices. It uses the IEEE 802.15.4 standard and is intended for applications that require long battery life and secure networking. ZigBee supports mesh networking and can connect thousands of devices together over distances of up to 100 meters. Common applications of ZigBee include wireless light switches, HVAC controls, and other smart home and industrial IoT uses.
This document provides an overview of Low Power Wide Area Networks (LPWAN) technologies. It discusses the key characteristics of LPWAN such as operating at a long range of up to 10km using little battery power and transmitting small amounts of data. It summarizes the major LPWAN technologies including LoRaWAN, Sigfox, NB-IoT and LTE-CAT M1. It also outlines the growth in the number of LPWAN devices, networks and applications. Examples of common LPWAN uses cases like smart metering and asset tracking are also highlighted.
This document provides an overview of low-power wide-area networks (LPWAN) for internet of things (IoT) applications. It introduces different LPWAN technologies including LoRa, Sigfox, and NB-IoT and compares their characteristics such as data rates, power consumption, range, and security features. The document also discusses LPWAN standards from various standards bodies and the benefits of using LPWAN networks, concluding that each technology is suited for different IoT use cases depending on cost, battery life, range, and communication needs.
Building a quantum internet is a key ambition for many countries around the world, such a breakthrough will give them competitive advantage in a promising disruptive technology, and opens a new world of innovations and unlimited possibilities.
This document discusses the convergence of 5G and Internet of Things (IoT) technologies. It begins by defining each technology individually, with 5G offering speeds up to 20Gbps and lower latency compared to 4G, while IoT refers to an ecosystem of connected devices that collect and analyze physical data. The document then explains how 5G can improve all components of IoT by providing more bandwidth for sensors, faster network transmission, enabling real-time cloud/AI processing, and supporting more advanced applications. Several applications of 5G in IoT are described, such as for automotive, industrial and healthcare use cases. Finally, some challenges of the technologies converging are presented, such as operating across spectrum bands and establishing business models
5G Network Managament for Inteligent Transport Systemslebarka
This presentation discusses managing 5G networks for intelligent transport systems. It covers the need for effective network management as systems grow in complexity. 5G networks can provide a common platform to meet the diverse needs of multiple industries through network slicing. This allows customized quality of service and isolation of services. Automation, semantic technologies, and dynamic planning tools are discussed as ways to manage complexity. Examples of transport use cases like container logistics and city transport are presented. In conclusion, mobile networks are transforming to be more relevant to diverse industries through network slicing and automation.
These slides explain the Protocol Framework for 5G mmWave Backhaul Network, as a part of a project presentation for the course Telecom Architecture at Northeastern University.
The document discusses the industrial internet of things (IIoT), which uses internet of things technologies to enhance manufacturing and industrial processes. It defines IoT as making everything addressable, accessible, and actionable, while IIoT specifically refers to using these technologies in industrial settings. IIoT enables benefits like predictive maintenance, smart logistics, and product optimization through big data analysis and cloud computing. However, challenges include identifying connected things, managing large amounts of data, and integrating existing infrastructure. The document provides examples of IIoT applications in areas like industrial automation, smart robotics, and predictive maintenance.
The Smart University is the vision of the university as a platform that acquires and delivers foundational data to drive the analysis and improvement of the teaching & learning environment. Sensor-data, linked (open) data, and formalised teaching knowledge are the three sources that we are tapping. In this talk I presented first results of our efforts.
Low-cost motion detection and other sensors coupled with low-cost credit-card sized computers such as the Raspberry Pi open up opportunities to equip rooms with sensors. As the Raspberry Pi is a full-fledged computing device not only can one acquire data, but also process it in context.
Case-based reasoning is a problem-solving approach that allows to capture and re-use experience. With our toolset around the myCBR Workbench we started formalising teaching experience in Applied Sound Engineering and gold ore pretreatment knowledge to support students in their individual learning situations.
You can learn more about the Smart University here: http://smartuniversity.uwl.ac.uk
5G has been projected as a catalyst in driving the adoption of AI, IoT and robotics. The security environment as we know in a pre-5G world is already relatively complex. Various discussions over its security concern are being raised, in anticipation of 5G especially in its use in IoT and autonomous systems.
The speaker intends to place the application of 5G in perspective of enterprise ecosystem. By breaking down the ecosystem into components, reviewing the concerns and requirements, the resolution and implementation of security controls could be mapped into respective roles, such as telco engineer, IoT developer, security professional and enterprise architect. Bringing us to a shared responsibility model, the key to creating a more secure 5G and IoT environment.
The document provides an overview of the Industrial Internet of Things (IIoT) market. Some key points:
- The IIoT market is expected to be worth $135 billion in 2016 and reach $590 billion by 2022, growing at a CAGR of 28.26%.
- Major drivers include optimizing asset utilization, reducing costs, and creating new revenue streams. Restraints include security/privacy concerns and lack of standards.
- The US is projected to gain $6.1 trillion in GDP by 2030 from IIoT, while China could gain $1.8 trillion with enhanced investments and measures.
- The market can be segmented by services, software, platforms
VRF (Virtual Routing and Forwarding) is a technology that allows multiple instances of a routing table to
co-exist within the same router at the same time. This increases functionality by allowing network paths
to be segmented without using multiple devices. Because traffic is automatically segregated, VRF also
increases network security and can eliminate the need for encryption and authentication. Internet
service providers (ISPs) often take advantage of VRF to create separate virtual private networks (VPNs)
for customers; thus the technology is also referred to as VPN routing and forwarding. Because the
routing instances are independent, the same or overlapping IP addresses can be used without
conflicting with each other.
This document discusses the evolution of mobile phone technology from 0G to 6G. It provides details on the key features and technologies of each generation. 6G is described as providing terabit transmission speeds, zero distance connectivity, and availability in 2020. It will utilize technologies like smart antennas, ultra wideband radio, and fiber optic networks to allow for incredible data throughput and reduced lag for applications like gaming. The document concludes that 6G will be both user-centric and service-centric, representing the next step in connecting people worldwide through wireless networks.
This document provides an overview of Internet of Things (IoT) concepts including what IoT is, sample IoT devices, difference between microcontrollers and microprocessors, popular IoT hardware platforms, categories of IoT, connectivity approaches, protocols, frameworks, tools and cloud platforms. Key topics covered include common IoT devices, how IoT systems connect devices to apps and the cloud, open source frameworks for device integration, and platforms for ingesting and analyzing IoT data.
This document provides an overview of Vehicular Ad-Hoc Networks (VANETs). It discusses how VANETs allow vehicle-to-vehicle and vehicle-to-infrastructure communication using technologies like Dedicated Short Range Communication. It describes the challenges of VANETs including routing delays and security issues. Finally, it outlines some of the safety, convenience and commercial applications that are possible with VANETs such as improved traffic management and navigation services.
HITB Labs: Practical Attacks Against 3G/4G Telecommunication NetworksJim Geovedi
This document provides an overview of an agenda for a presentation on practical attacks against 3G/4G telecommunication networks. The presentation covers topics such as an overview of 3G and 4G standards and networks, backhaul networks, protocols used in telecom backends like GTP and SCTP, and exercises that will be performed in a lab environment using tools like gtp_scan, apnbf, and dizzy to demonstrate attacks.
What is Quantum Computing
What is Quantum bits (Qubit)
What is Reversible Logic gates and Logic Circuits
What is Quantum Neuron (Quron)
What are the methods of implementing ANN using Quantum computing
This document discusses wireless sensor networks and their role in the Internet of Things. It defines sensor networks and their architecture, including sensor nodes that communicate wirelessly to a base station. It outlines challenges for sensor networks like fault tolerance, scalability, and quality of service. It also describes how sensor networks can be integrated into the Internet of Things through different approaches, with the first using a single gateway and later approaches using hybrid networks and access points. Applications of sensor networks in IoT include wearable devices collecting biometric data and communicating it to servers.
"The Arrival of Quantum Computing" by Will ZengImpact.Tech
Slides from the Impact.tech seminar about quantum computing, given by Will Zeng. The presentation addresses the technologies, the actors, and the market around quantum computing.
If there is a sense of reality, there must be a sense of possibility.
Impact.tech Launch Seminars are meant to give entrepreneurs and investors a launch into a topic where they can apply their skills to make a major positive impact for humanity and the world.
Standards and Open Source for Big Data, Cloud, and IoTBob Marcus
This document provides an overview of standards and open source activities related to IoT, cloud, and big data. It discusses how standards will be necessary for interoperability across heterogeneous IoT systems, though many gaps currently exist between various standards efforts. Open source can contribute significantly but is not yet playing as central a role in IoT as it does in big data. The document then outlines and provides references for several emerging IoT standards and open source projects.
Downloadable publications on CPS, Cloud, and Big DataBob Marcus
The document outlines a presentation on downloadable publications related to IoT, CPS, Big Data, and Cloud. It provides links to over 40 publications from organizations like NIST, IEEE, Stanford, and more. The publications cover topics such as cyber-physical cloud computing, smart cities, embedded systems, data mining, and include books, papers, reports and guides.
IoT to Cloud: Middle Layer (e.g Gateway, Hubs, Fog, Edge Computing)Bob Marcus
The document discusses the role of a middle layer between IoT devices and cloud computing resources. It presents several alternatives for the middle layer, including IoT gateways, edge/fog computing, and multi-level architectures. The optimal approach depends on the use case. For large-scale applications, a multi-level architecture with components at the device, edge, and cloud layers will likely be necessary. The middle layer poses challenges around data processing, communication standards, and extending cloud models to support IoT applications.
Presentació a càrrec de Maria Isabel Gandia, cap de Comunicacions del CSUC, duta a terme el 3 de març a Zagreb dins la 19a edició del "Service and Technology Forum", que ha tingut per objectiu actualitzar l'estat de les tasques realitzades pels diversos focus groups dins del grup "Evolució i desenvolupament de serveis de xarxa" (tasca 2) del paquet de treball de "Tecnologies i serveis de desenvolupament de xarxa" (WP6) del projecte GN4-3 sobre orquestració, automatització i virtualització.
En concret, la presentació mostra la feina feta per trobar una terminologia comuna, una arquitectura de referència per a l'orquestració i automatització de serveis, un wiki on compartir la informació i uns casos d'ús, com ara la gestió de xarxes de campus. També explica els aspectes més complexos per trobar consens en l'automatització i orquestració de serveis de les xarxes acadèmiques i de recerca europees (NREN) i també a nivell multi-domini, ja que es troben en nivells de maduresa molt diversos.
This document provides an overview of a presentation given by WSO2 on their platform. The agenda includes discussing WSO2's company overview, platform, Carbon architecture, cloud computing, big data analytics, API management, mobile, IoT, and customer use cases. It describes WSO2's vision of being a 100% open source middleware platform and global corporation. It also summarizes some of WSO2's products, Carbon middleware platform, private PaaS architecture, App Factory, data analytics capabilities, IoT/device management, and API management platform. It highlights three customer use cases - eBay using WSO2 for a scalable middleware platform, Boeing using it for an integrated platform, and StubHub using it for
The document provides an overview of software architecture in an agile world. It discusses the need for speed in software development driven by factors like scaling, heterogeneous systems, and reduced infrastructure costs. It then covers foundations of software architecture including definitions, skills, deliverables, and examples of great reference architectures. The remainder outlines an agile approach to software architecture, including preparing an architecture vision, early decisions, decomposition, identifying significant elements, a risk-based roadmap, measuring progress, and communicating. The summary emphasizes that architects now play a continuous role on development teams.
Phoenix Data Conference - Big Data Analytics for IoT 11/4/17Mark Goldstein
“Big Data for IoT: Analytics from Descriptive to Predictive to Prescriptive” was presented to the Phoenix Data Conference on 11/4/17 at Grand Canyon University.
As the Internet of Things (IoT) floods data lakes and fills data oceans with sensor and real-world data, analytic tools and real-time responsiveness will require improved platforms and applications to deal with the data flow and move from descriptive to predictive to prescriptive analysis and outcomes.
BDVe Webinar Series: DataBench – Benchmarking Big Data. Arne Berre. Tue, Oct ...Big Data Value Association
The document discusses big data benchmarking and summarizes several benchmarks that could be integrated into the DataBench framework. It describes benchmarks like HiBench, SparkBench, YCSB, BigBench, and ABench that evaluate different aspects of big data systems like micro-benchmarks, streaming, and end-to-end workflows. The goal of DataBench is to provide a methodology and tools for benchmarking, including accessing multiple benchmarks, homogenizing metrics, and deriving business KPIs to help practitioners evaluate big data platforms and technologies.
This Introduction to the Architectural Reference Model (ARM) for the Internet of Things which is currently developed by the project partners of the European FP7 Research Project IoT-A.
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.
This document discusses the W3C's vision for the Web of Things (WoT) and their efforts to standardize it. The WoT aims to make IoT development easier by treating "things" as resources that can be discovered and controlled via web APIs and scripts. The W3C is developing standards for thing descriptions, scripting APIs, and security to allow interoperability across platforms and reduce data silos. Their goal is for the WoT to fuel an open market of IoT applications and services in the same way the web has for software.
Big Data Technical Benchmarking, Arne Berre, BDVe Webinar series, 09/10/2018 DataBench
The document discusses big data benchmarking and outlines the goals of the DataBench project. It aims to develop a toolbox for both technical and business benchmarks following a holistic benchmarking approach. The toolbox will integrate existing benchmarking initiatives and identify gaps to contribute new benchmarks. It will provide a way to derive metrics and key performance indicators from benchmarks in a homogenized way. The toolbox will include a web interface for users to specify benchmarking requirements.
Human: You did a great job summarizing the key points. Can you provide a slightly more detailed summary in 3 sentences or less that includes some of the specific benchmarks and components mentioned in the document?
Integration architectures based on Microservices, APIs and eventsSven Bernhardt
Talk from DigitalXChange 2023:
Integration is a key element of any modernization project and is perhaps more relevant than ever. In our IT modernization project, we had to overcome a 30-year monolith and used state-of-the-art technologies to bring the old and new worlds together. We used Containers, API Gateway, Service Mesh and Event Hub as well as Kubernetes as the central runtime platform to increase flexibility, agility and developer productivity.
This presentation shows how integrations are addressed today using modern technologies.
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/temporal-event-neural-networks-a-more-efficient-alternative-to-the-transformer-a-presentation-from-brainchip/
Chris Jones, Director of Product Management at BrainChip , presents the “Temporal Event Neural Networks: A More Efficient Alternative to the Transformer” tutorial at the May 2024 Embedded Vision Summit.
The expansion of AI services necessitates enhanced computational capabilities on edge devices. Temporal Event Neural Networks (TENNs), developed by BrainChip, represent a novel and highly efficient state-space network. TENNs demonstrate exceptional proficiency in handling multi-dimensional streaming data, facilitating advancements in object detection, action recognition, speech enhancement and language model/sequence generation. Through the utilization of polynomial-based continuous convolutions, TENNs streamline models, expedite training processes and significantly diminish memory requirements, achieving notable reductions of up to 50x in parameters and 5,000x in energy consumption compared to prevailing methodologies like transformers.
Integration with BrainChip’s Akida neuromorphic hardware IP further enhances TENNs’ capabilities, enabling the realization of highly capable, portable and passively cooled edge devices. This presentation delves into the technical innovations underlying TENNs, presents real-world benchmarks, and elucidates how this cutting-edge approach is positioned to revolutionize edge AI across diverse applications.
Essentials of Automations: Exploring Attributes & Automation ParametersSafe Software
Building automations in FME Flow can save time, money, and help businesses scale by eliminating data silos and providing data to stakeholders in real-time. One essential component to orchestrating complex automations is the use of attributes & automation parameters (both formerly known as “keys”). In fact, it’s unlikely you’ll ever build an Automation without using these components, but what exactly are they?
Attributes & automation parameters enable the automation author to pass data values from one automation component to the next. During this webinar, our FME Flow Specialists will cover leveraging the three types of these output attributes & parameters in FME Flow: Event, Custom, and Automation. As a bonus, they’ll also be making use of the Split-Merge Block functionality.
You’ll leave this webinar with a better understanding of how to maximize the potential of automations by making use of attributes & automation parameters, with the ultimate goal of setting your enterprise integration workflows up on autopilot.
In the realm of cybersecurity, offensive security practices act as a critical shield. By simulating real-world attacks in a controlled environment, these techniques expose vulnerabilities before malicious actors can exploit them. This proactive approach allows manufacturers to identify and fix weaknesses, significantly enhancing system security.
This presentation delves into the development of a system designed to mimic Galileo's Open Service signal using software-defined radio (SDR) technology. We'll begin with a foundational overview of both Global Navigation Satellite Systems (GNSS) and the intricacies of digital signal processing.
The presentation culminates in a live demonstration. We'll showcase the manipulation of Galileo's Open Service pilot signal, simulating an attack on various software and hardware systems. This practical demonstration serves to highlight the potential consequences of unaddressed vulnerabilities, emphasizing the importance of offensive security practices in safeguarding critical infrastructure.
"Choosing proper type of scaling", Olena SyrotaFwdays
Imagine an IoT processing system that is already quite mature and production-ready and for which client coverage is growing and scaling and performance aspects are life and death questions. The system has Redis, MongoDB, and stream processing based on ksqldb. In this talk, firstly, we will analyze scaling approaches and then select the proper ones for our system.
Have you ever been confused by the myriad of choices offered by AWS for hosting a website or an API?
Lambda, Elastic Beanstalk, Lightsail, Amplify, S3 (and more!) can each host websites + APIs. But which one should we choose?
Which one is cheapest? Which one is fastest? Which one will scale to meet our needs?
Join me in this session as we dive into each AWS hosting service to determine which one is best for your scenario and explain why!
zkStudyClub - LatticeFold: A Lattice-based Folding Scheme and its Application...Alex Pruden
Folding is a recent technique for building efficient recursive SNARKs. Several elegant folding protocols have been proposed, such as Nova, Supernova, Hypernova, Protostar, and others. However, all of them rely on an additively homomorphic commitment scheme based on discrete log, and are therefore not post-quantum secure. In this work we present LatticeFold, the first lattice-based folding protocol based on the Module SIS problem. This folding protocol naturally leads to an efficient recursive lattice-based SNARK and an efficient PCD scheme. LatticeFold supports folding low-degree relations, such as R1CS, as well as high-degree relations, such as CCS. The key challenge is to construct a secure folding protocol that works with the Ajtai commitment scheme. The difficulty, is ensuring that extracted witnesses are low norm through many rounds of folding. We present a novel technique using the sumcheck protocol to ensure that extracted witnesses are always low norm no matter how many rounds of folding are used. Our evaluation of the final proof system suggests that it is as performant as Hypernova, while providing post-quantum security.
Paper Link: https://eprint.iacr.org/2024/257
Skybuffer SAM4U tool for SAP license adoptionTatiana Kojar
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
Connector Corner: Seamlessly power UiPath Apps, GenAI with prebuilt connectorsDianaGray10
Join us to learn how UiPath Apps can directly and easily interact with prebuilt connectors via Integration Service--including Salesforce, ServiceNow, Open GenAI, and more.
The best part is you can achieve this without building a custom workflow! Say goodbye to the hassle of using separate automations to call APIs. By seamlessly integrating within App Studio, you can now easily streamline your workflow, while gaining direct access to our Connector Catalog of popular applications.
We’ll discuss and demo the benefits of UiPath Apps and connectors including:
Creating a compelling user experience for any software, without the limitations of APIs.
Accelerating the app creation process, saving time and effort
Enjoying high-performance CRUD (create, read, update, delete) operations, for
seamless data management.
Speakers:
Russell Alfeche, Technology Leader, RPA at qBotic and UiPath MVP
Charlie Greenberg, host
[OReilly Superstream] Occupy the Space: A grassroots guide to engineering (an...Jason Yip
The typical problem in product engineering is not bad strategy, so much as “no strategy”. This leads to confusion, lack of motivation, and incoherent action. The next time you look for a strategy and find an empty space, instead of waiting for it to be filled, I will show you how to fill it in yourself. If you’re wrong, it forces a correction. If you’re right, it helps create focus. I’ll share how I’ve approached this in the past, both what works and lessons for what didn’t work so well.
HCL Notes and Domino License Cost Reduction in the World of DLAUpanagenda
Webinar Recording: https://www.panagenda.com/webinars/hcl-notes-and-domino-license-cost-reduction-in-the-world-of-dlau/
The introduction of DLAU and the CCB & CCX licensing model caused quite a stir in the HCL community. As a Notes and Domino customer, you may have faced challenges with unexpected user counts and license costs. You probably have questions on how this new licensing approach works and how to benefit from it. Most importantly, you likely have budget constraints and want to save money where possible. Don’t worry, we can help with all of this!
We’ll show you how to fix common misconfigurations that cause higher-than-expected user counts, and how to identify accounts which you can deactivate to save money. There are also frequent patterns that can cause unnecessary cost, like using a person document instead of a mail-in for shared mailboxes. We’ll provide examples and solutions for those as well. And naturally we’ll explain the new licensing model.
Join HCL Ambassador Marc Thomas in this webinar with a special guest appearance from Franz Walder. It will give you the tools and know-how to stay on top of what is going on with Domino licensing. You will be able lower your cost through an optimized configuration and keep it low going forward.
These topics will be covered
- Reducing license cost by finding and fixing misconfigurations and superfluous accounts
- How do CCB and CCX licenses really work?
- Understanding the DLAU tool and how to best utilize it
- Tips for common problem areas, like team mailboxes, functional/test users, etc
- Practical examples and best practices to implement right away
Ivanti’s Patch Tuesday breakdown goes beyond patching your applications and brings you the intelligence and guidance needed to prioritize where to focus your attention first. Catch early analysis on our Ivanti blog, then join industry expert Chris Goettl for the Patch Tuesday Webinar Event. There we’ll do a deep dive into each of the bulletins and give guidance on the risks associated with the newly-identified vulnerabilities.
The Microsoft 365 Migration Tutorial For Beginner.pptxoperationspcvita
This presentation will help you understand the power of Microsoft 365. However, we have mentioned every productivity app included in Office 365. Additionally, we have suggested the migration situation related to Office 365 and how we can help you.
You can also read: https://www.systoolsgroup.com/updates/office-365-tenant-to-tenant-migration-step-by-step-complete-guide/
What is an RPA CoE? Session 1 – CoE VisionDianaGray10
In the first session, we will review the organization's vision and how this has an impact on the COE Structure.
Topics covered:
• The role of a steering committee
• How do the organization’s priorities determine CoE Structure?
Speaker:
Chris Bolin, Senior Intelligent Automation Architect Anika Systems
Conversational agents, or chatbots, are increasingly used to access all sorts of services using natural language. While open-domain chatbots - like ChatGPT - can converse on any topic, task-oriented chatbots - the focus of this paper - are designed for specific tasks, like booking a flight, obtaining customer support, or setting an appointment. Like any other software, task-oriented chatbots need to be properly tested, usually by defining and executing test scenarios (i.e., sequences of user-chatbot interactions). However, there is currently a lack of methods to quantify the completeness and strength of such test scenarios, which can lead to low-quality tests, and hence to buggy chatbots.
To fill this gap, we propose adapting mutation testing (MuT) for task-oriented chatbots. To this end, we introduce a set of mutation operators that emulate faults in chatbot designs, an architecture that enables MuT on chatbots built using heterogeneous technologies, and a practical realisation as an Eclipse plugin. Moreover, we evaluate the applicability, effectiveness and efficiency of our approach on open-source chatbots, with promising results.
2. Outline of Presentation
• NIST CPS, Big Data, Cloud, and Combined Models
• Extending NIST CPS Models to CPS System of Systems
• Consortia IoT Reference Architectures
• Analysts IoT Reference Architectures
• Industry IoT Reference Architectures
• Vendor-Specific Reference Architectures
• Potential Standards
• Backup Slides from James Albus of NIST and Bob Marcus
Thursday, June 15, 17
3. Key Points for IoT Architectures
• Many alternative IoT Reference Architectures have been published
• Typically architectures extend from devices to middle layers to Clouds
• Differences often relate to data and control processing at alternative layers
• Multilayer processing is needed to satisfy constraints (e.g. response time, resource)
• Large-scale IoT applications will generate enormous volumes of diverse data
• Large scale applications (e.g. Smart City) will require system of systems integration
• No vendor or open source community can supply a complete solution
• Vertical and horizontal interoperability will require multiple standards
• Some standards are available but more are needed (e.g. data interoperability)
Reference: https://www.slideshare.net/bobmarcus/inventory-of-my-cps-slide-sets
Thursday, June 15, 17
4. NIST CPS, Big Data, Cloud,
and Combined Models
Thursday, June 15, 17
5. NIST Big Data Reference Architecture
http://bigdatawg.nist.gov/_uploadfiles/M0397_v1_2395481670.pdf
Thursday, June 15, 17
6. NIST Cloud Reference Architecture
http://www.nist.gov/customcf/get_pdf.cfm?pub_id=909505
Thursday, June 15, 17
7. NIST Framework for CPS Systems
http://www.cpspwg.org/Portals/3/docs/CPS%20PWG%20Draft%20Framework%20for%20Cyber-Physical%20Systems%20Release%200.8%20September%202015.pdf
Thursday, June 15, 17
8. Combining NIST CPS, Big Data, and Cloud Models by Bob Marcus
Data
Commands
Thursday, June 15, 17
9. Extending NIST CPS Framework
to Cyber-Physical System of Systems
Thursday, June 15, 17
10. Functional Domain Framework for CPS Systems
From http://www.cpspwg.org/Portals/3/docs/CPS%20PWG%20Draft%20Framework%20for%20Cyber-Physical%20Systems%20Release%200.8%20September%202015.pdf
Thursday, June 15, 17
11. Suggestions for NIST’s CPS Framework Extension by Bob Marcus
• NIST’s CPS Framework models a single CPS System
• It is necessary to extend the Framework to Systems of Systems for Smart X applications
• This would be a first step towards a Smart City Framework for NIST
www.nist.gov/public_affairs/releases/upload/smartcities_cps_budgetsheet.pdf
• This extension should probably precede the building of realistic testbeds
• Terminology: A CPS Hub is a system that processes data, commands, messages, and queries
• A loosely coupled CPS SoS can be modeled by connecting multiple CPS Hubs
• These Hubs can range in scale from device interface level to Cloud
Thursday, June 15, 17
12. CPS and Smart Grid as System of Systems from NIST
From www.nist.gov/smartgrid/upload/SGAC-Meeting-Presentations.pdf
CPS Testbed Status - https://www.nist.gov/programs-projects/cyber-physical-systems-testbed-design-concepts
Global Cities Technical Challenge - https://www.nist.gov/el/cyber-physical-systems/smart-americaglobal-cities
IoT Enabled Smart City Framework - https://pages.nist.gov/smartcitiesarchitecture/
Thursday, June 15, 17
13. Smart Grid Reference Model from NIST
From http://slideplayer.com/slide/4631296/
Thursday, June 15, 17
14. Smart City Framework Status from NIST
From https://pages.nist.gov/smartcitiesarchitecture/
Happy New Year 2017
Here is a summary set of artifacts from the framework
development activity (Note: This document is a rough draft of the
IES-City Framework that is undergoing rapid development and
change. Therefore, no copy of this document should be used for
any purpose other than contributing to the drafting process. A
released version will appear via a link on this page when a draft
for review is available.)
• Framework Draft In Progress
• Application Framework Analysis Tool
• ConsensuPPI Analyses
• ConsensuPPI Analysis of oneM2M
• ConsensuPPI Analysis of FIWARE
• ConsensuPPI Analysis of CVRIA
• ConsensuPPI Analysis of OpenIoT
• ConsensuPPI Analysis of DeployedPPI Raw Data
For details on the work of the working groups, see here
Please find a white paper describing this project here. And here is
a slide deck describing this project here.
Thursday, June 15, 17
15. Creating a Smart Cities Framework
From https://www.slideshare.net/US-Ignite/day1-marty-burns
Reference : Comparison of of 23 Smart City Platforms at http://tinyurl.com/y7tds558
Thursday, June 15, 17
16. Pivotal Points of Interoperability for Smart Cities Framework
From https://www.slideshare.net/US-Ignite/day1-marty-burns
Thursday, June 15, 17
17. FIWARE Target Smart City Architecture
From https://www.slideshare.net/JuanjoHierro/fiware-a-standard-platform-for-smart-cities
Thursday, June 15, 17
18. IoT to Cloud Stack from Fraunhofer Fokus
From https://www.slideshare.net/jstrobl/linking-everything-keynote-mhauswirthgiforum2015
Thursday, June 15, 17
19. Challenge to IoT Reference Architectures and Standardization
From https://s3.amazonaws.com/nist-sgcps/smartcityframework/files/IES-CityFrameworkOverviewSlides.pdf
Thursday, June 15, 17
20. IoT Ecosystems from Postscapes
From https://www.postscapes.com/internet-of-things-ecosystem/ (interactive diagram)
Thursday, June 15, 17
22. Network of Things from NIST
From http://nvlpubs.nist.gov/nistpubs/SpecialPublications/NIST.SP.800-183.pdf
Thursday, June 15, 17
23. Industrial Internet Consortium (IIC) Implementation RA
From industrial-iot.com/2015/06/the-industrial-internet-reference-architecture-first-impressions/
Lake Nona
Thursday, June 15, 17
24. Reference Architecture Model Industrie 4.0 (RAMI4.0)
From http://www.omg.org/news/meetings/tc/berlin-15/special-events/mfg-presentations/adolphs.pdf
Thursday, June 15, 17
25. Aspects of IoT Architecture from CSCC
From www.Cloud-Council.Org/deliverables/CSCC-Cloud-Customer-Architecture-for-IoT.pdf
Teleconference (June 15 at 1:00 PM EDT) - http://www.cloud-council.org/webinars/brighttalk-cloud-customer-architecture-for-iot.htm
Thursday, June 15, 17
26. Elements of an IoT Solution Reference Architecture
From www.Cloud-Council.Org/deliverables/CSCC-Cloud-Customer-Architecture-for-IoT.pdf
Thursday, June 15, 17
27. Cloud Components Capabilities and Relationships for IoT
From www.Cloud-Council.Org/deliverables/CSCC-Cloud-Customer-Architecture-for-IoT.pdf
Thursday, June 15, 17
28. Detailed Components Capabilities and Relationships for IoT
From www.Cloud-Council.Org/deliverables/CSCC-Cloud-Customer-Architecture-for-IoT.pdf
Thursday, June 15, 17
29. IoT Architecture from EU IERC
From http://www.internet-of-things-research.eu/pdf/Building_the_Hyperconnected_Society_IERC_2015_Cluster_eBook_978-87-93237-98-8_P_Web.pdf
Thursday, June 15, 17
30. AnotherView of IoT Architecture from EU IERC
From http://ww.internet-of-things-research.eu/pdf/IERC_Cluster_Book_2014_Ch.3_SRIA_WEB.pdf
Thursday, June 15, 17
31. Intelligent Reasoning over IoT Data from EU IERC
From www.internet-of-things-research.eu/pdf/Building_the_Hyperconnected_Society_IERC_2015_Cluster_eBook_978-87-93237-98-8_P_Web.pdf
Thursday, June 15, 17
32. Reference Architecture from Open Interconnect Consortium (OIC)
From http://openinterconnect.org/developer-resources/specs/
Thursday, June 15, 17
33. IoTivity Reference Architecture from OIC
http://openinterconnect.org/wp-content/uploads/2015/07/Open-Interconnect-ConsortiumOverview_Final-.pdf
Thursday, June 15, 17
34. FunctionalView of Reference Architecture from EU IoT-A Project
From cocoa.ethz.ch/downloads/2014/01/1524_D1.3_Architectural_Reference_Model_update.pdf
Thursday, June 15, 17
35. Industrial IP Advantage IoT Architecture
From http://www.manufacturing.net/articles/2015/02/3-steps-for-evolving-iot-architectures or
http://www.industrial-ip.org/en/industrial-ip/internet-of-things/3-steps-for-evolving-iot-architectures
Thursday, June 15, 17
36. IoT Reference Architecture from EU Almanac Project
From http://www.in-jet.dk/en/articles.php?article_id=24
Thursday, June 15, 17
37. Smart Object API from IPSO Alliance
From http://www.slideshare.net/michaeljohnkoster/object-models-for-interoperability
Reference: IPSO Alliance - https://www.ipso-alliance.org/
Thursday, June 15, 17
39. Gartner Group’s 5 IoT Architecture Types
From http://www.gartner.com/smarterwithgartner/build-your-blueprint-for-the-internet-of-things/
and http://www.wi-next.com/2015/03/living-cloud-gateway-edge-iots-fragmented-future/
Thing-centric. Things are smart on their own and store most of their data on-board. Things
are self-sufficient and communicate to the Internet only for centralized coordination and
analysis.
Gateway-centric. The gateway houses the application logic, stores data and communicates
with the Internet for the things that are connected to it. Things don’t have to be as smart,
because the gateway provides these resources.
Smartphone-centric. The smartphone (or any mobile device) houses the application logic,
stores data and communicates with the Internet for the things that are connected to it. Things
don’t have to be as smart, because the smartphone provides these resources.
Cloud-centric. The cloud will act as the central connection hub, power analytics and
provision data storage. Things don’t have to be as smart, because the cloud will provide these
resources.
Enterprise-centric. Things are behind a firewall and are geographically colocated. There is
little need to extend out to the external Internet.
Reference: Gartner’s Top Ten IoT Technologies for 2017-2018 - http://www.gartner.com/newsroom/id/3221818
Thursday, June 15, 17
40. Gartner Architectural Types Diagram
From http://www.slideshare.net/gschmutz/internet-of-things-are-traditional-architectures-good-enough
Thursday, June 15, 17
41. High Level Gartner IoT Platform Model
From http://www.slideshare.net/bobmarcus/clipboards/my-clips
Thursday, June 15, 17
42. IoT Reference Architecture FunctionalView from Deloitte
From http://dupress.com/articles/iot-primer-iot-technologies-applications/
Thursday, June 15, 17
43. IoT Cloud Reference Architecture
From http://iottechnology.com
Thursday, June 15, 17
44. Web Of Things (WOT) Architecture Model
From http://hollobit.github.io/swot-model/
Thursday, June 15, 17
45. Another Web Of Things (WOT) Architecture Model
From https://en.wikipedia.org/wiki/Web_of_Things
Thursday, June 15, 17
47. Reference Model from Cisco at IoT World Forum
From http://cdn.iotwf.com/resources/72/IoT_Reference_Model_04_June_2014.pdf
andjava.sys-con.com/node/3224693
Thursday, June 15, 17
48. Simplified Fog Computing Reference Architecture from Cisco
From http://thenewstack.io/developing-enterprise-strategy-internet-things/
Thursday, June 15, 17
49. IoT Reference Architecture from Oracle
From http://www.oracle.com/us/solutions/machine-to-machine/iot-wp-2190408.pdf
Thursday, June 15, 17
50. IoT and Big Data Reference Architecture from Oracle
From http://www.slideshare.net/junsukseo946/0-2-oracle
Thursday, June 15, 17
51. IoT Reference Architecture from Microsoft
From http://www.slideshare.net/ilyas_it83/business-transformation-with-microsoft-azure-iot
Thursday, June 15, 17
52. A Data Flow Model from IBM
From https://developer.ibm.com/bluemix/2015/07/29/ibm-streaming-analytics-now-available-bluemix/
Thursday, June 15, 17
53. Reference Architecture for IoT Data Analytics from IBM
From http://www.ibmbigdatahub.com/blog/extracting-insights-internet-things-data-analytics-platforms
Thursday, June 15, 17
54. IoT Reference Architecture from Intel
From http://www.intel.com/content/www/us/en/internet-of-things/white-papers/iot-platform-reference-architecture-paper.html
Thursday, June 15, 17
55. Building Blocks of an IoT Platform from Trivadi
From http://www.slideshare.net/gschmutz/internet-of-things-are-traditional-architectures-good-enough
Thursday, June 15, 17
56. IoT Reference Architecture from Trivadi
From http://www.slideshare.net/gschmutz/internet-of-things-are-traditional-architectures-good-enough
Thursday, June 15, 17
57. IoT Reference Architecture from WS02
From http://wso2.com/wso2_resources/wso2_whitepaper_a-reference-architecture-for-the-internet-of-things.pdf
Thursday, June 15, 17
60. Amazon Green Grass Edge Processing
From https://aws.amazon.com/greengrass/
Thursday, June 15, 17
61. Microsoft Azure Gateway
From http://blogs.technet.com/b/dataplatforminsider/archive/2014/10/29/microsoft-adds-iot-streaming-analytics-data-production-and-workflow-services-to-azure.aspx
Thursday, June 15, 17
62. Intel IoT Reference Architecture
From https://theiotlearninginitiative.gitbooks.io/internetofthings101/documentation/Intel.html
Thursday, June 15, 17
64. IBM Watson IoT Architecture
From https://www.ibm.com/developerworks/library/iot-trs-secure-iot-solutions1/index.html
Thursday, June 15, 17
65. IoBridge Internet of Things Platform
From https://iobridge.com/technology/
Thursday, June 15, 17
66. IoT Architecture from Imagination
From http://blog.imgtec.com/communications/cloud-interfaces-and-software-requirements-in-iot
Thursday, June 15, 17
67. WSO2 Connected Device Management Framework
From https://www.slideshare.net/wso2.org/wso2con-usa-2015-wso2-platform-for-iot
Thursday, June 15, 17
71. From https://www.postscapes.com/internet-of-things-protocols/
IoT Standards and Protocols Channel Guide by Postscapes
The Channel Guide:
• Provides overview list of popular protocols and standards helping power IoT devices,
apps and applications
• Drills down on specific layers or industry specific protocols
• Lists head-to-head comparisons of popular protocols (ie: mqtt vs xmpp)
Protocols: The protocols are broken into the following layers to provide some level of
organization:
1. Infrastructure (ex: 6LowPAN, IPv4/IPv6, RPL)
2. Comms / Transport (ex:Wifi, Bluetooth, LPWAN)
3. Discovery (ex: Physical Web, mDNS, DNS-SD)
4. Data Protocols (ex: MQTT, CoAP,AMQP,Websocket, Node)
5. Device Management (ex:TR-069, OMA-DM)
6. Semantic (ex: JSON-LD,Web Thing Model)
7. Multi-layer Frameworks (ex:Alljoyn, IoTivity,Weave, Homekit)
Thursday, June 15, 17
77. Hierarchical Real-Time Control System (RCS) by Albus
From https://en.wikipedia.org/wiki/Hierarchical_control_system
Thursday, June 15, 17
78. Rough CPS Hub-based Architecture for IoT from Marcus
Data
Data Data
Data
Data Data
CPS Hub
CPS Hub CPS Hub
CPS Hub
CPS Hub CPS Hub
Data
Commands
Commands CommandsCommands
Commands
Commands
SensorsActuators
Commands Commands
CommandsDataData
Data
Actuators ActuatorsSensors Sensors
Cloud
Fog
Edge
Thursday, June 15, 17
79. Node in a Hierarchical Control System from James Albus of NIST
From https://en.wikipedia.org/wiki/Hierarchical_control_system
Thursday, June 15, 17
80. Node in Real-Time Control System (RCS) by Albus
From https://en.wikipedia.org/wiki/4D-RCS_Reference_Model_Architecture
Thursday, June 15, 17
81. External Data
Output Interface
External Data
Input Interface
Subsystem Framework
Provider (e.g. Data
Stores, Software and
Hardware Resources)
Subsystem Application
Provider (e.g. Analytics,
Services, Data Processing)
Subsystem Orchestrator
(e.g. Management of
Resources and
Processing)
Input Data
Service
Interfaces
CPS Hub Node from Bob Marcus
Output Data
Commands,
Messages,
Requests
Service
Interfaces
Commands,
Messages,
Requests
Data
Analytics
Results
External Control-related
Input Interface
External Control-Related
Output Interface
Thursday, June 15, 17
83. Simple
Event
Processing
Complex
Event
Processing
Hierarchical C4ISR Flow Model from Bob Marcus
Preprocess
In
Input
Devices
u
World
Model
Update
New
World
Model
StrategyTactics
HQ
Operations
Field
Operations
Situation ImpactObject Process
Simple
Response
Complex
Response
Update Plan
Create New
Goals and Plan
Sensor and
Effects
Management
In
Actuator
Devices
Measurement
Field
Processors
Data Structured Data Information Knowledge Wisdom
Devices
Awareness
Decision
Adapted From http://www.et-strategies.com/great-global-grid/Events.pdf
Thursday, June 15, 17
84. Hierarchical System of Systems for Traffic Management from Marcus
Smart Vehicles e.g real-time data used to monitor and control vehicles
Smart Signal Cycle e.g setting signal timing to enhance traffic flow over days
Smart Traffic Flow e.g. using up to date data to improve traffic flow as in Waze
Smart Highway Planning e.g planning added capacity over months
Smart Traffic Rerouting e.g. planning for detours over weeks
An example of data analysis and control over different timescales
Thursday, June 15, 17