The document discusses Internet of Things (IoT) systems, architectures, and use cases. It describes typical IoT architectures involving sensors, devices, gateways, edge/fog computing, cloud platforms, and applications. It provides examples of common IoT devices like smart meters and discusses smart home use cases. Distributed software requirements across the IoT stack are also outlined.
Iot: Introduction ,architecture ,application especially engineering ,software,hardware,protocols and challenges
nodered software code for Iot simulation
This document discusses analytics for IoT and making sense of data from sensors. It first provides an overview of Innohabit Technologies' vision and products related to contextual intelligence platforms, machine learning analytics, and predictive network health analytics. It then discusses how analytics can help make sense of the endless sea of data from IoT sensors, highlighting key applications of analytics in areas like industrial IoT, smart retail, autonomous vehicles, and more. The benefits of analytics adoption in industrial IoT contexts include optimized asset maintenance, production operations, supply chain management, and more.
The IoT is here to stay. As with any other trend in the history of computer software, it’s starting to produce a new generation of cloud platforms. This tech talk will identify and explain what to look for when evaluating an IoT cloud platform to ensure a successful deployment of IoT strategies.
Internet of Things(IoT) - Introduction and Research Areas for ThesisWriteMyThesis
Internet of Things(IoT) is the latest technology making its presence felt in the world. There are various research areas for IoT thesis for M.Tech and Ph.D. Find out the latest topics for thesis and research here.
Internet of things (IoT)- Introduction, Utilities, ApplicationsTarika Verma
The document discusses Internet of Things (IoT). It defines IoT as a platform where everyday devices become smarter through intelligent processing and informative communication, creating a connection between the digital and physical world. The document outlines the key functional blocks of IoT including devices, communication, services, management, security, and applications. It also discusses the utilities of IoT and provides examples of domain-specific IoT applications in areas like wireless sensor networks, aquaculture, distributed sensor networks, smart societies, and location-aware services. The document concludes by noting that IoT has added new potential to the internet by enabling communications between objects and humans to make a smarter planet.
In this presentation, Shruthi introduces IoT and latest trends in that domain. Shruthi is interested in security of IoT devices and developing communication protocols for IoT devices.
The document discusses the Internet of Things (IoT). It defines IoT as connecting "things" or objects to the Internet. It traces the origins and development of IoT from 1999 when the term was coined to its growth in recent years. The document also outlines IoT architecture including devices, gateways, protocols and cloud platforms. It examines applications of IoT in various sectors like home automation, transportation, healthcare, agriculture, smart grids and smart cities. Finally, it analyzes challenges to IoT adoption like sensing environments, connectivity standards, power consumption and security/privacy issues.
Iot: Introduction ,architecture ,application especially engineering ,software,hardware,protocols and challenges
nodered software code for Iot simulation
This document discusses analytics for IoT and making sense of data from sensors. It first provides an overview of Innohabit Technologies' vision and products related to contextual intelligence platforms, machine learning analytics, and predictive network health analytics. It then discusses how analytics can help make sense of the endless sea of data from IoT sensors, highlighting key applications of analytics in areas like industrial IoT, smart retail, autonomous vehicles, and more. The benefits of analytics adoption in industrial IoT contexts include optimized asset maintenance, production operations, supply chain management, and more.
The IoT is here to stay. As with any other trend in the history of computer software, it’s starting to produce a new generation of cloud platforms. This tech talk will identify and explain what to look for when evaluating an IoT cloud platform to ensure a successful deployment of IoT strategies.
Internet of Things(IoT) - Introduction and Research Areas for ThesisWriteMyThesis
Internet of Things(IoT) is the latest technology making its presence felt in the world. There are various research areas for IoT thesis for M.Tech and Ph.D. Find out the latest topics for thesis and research here.
Internet of things (IoT)- Introduction, Utilities, ApplicationsTarika Verma
The document discusses Internet of Things (IoT). It defines IoT as a platform where everyday devices become smarter through intelligent processing and informative communication, creating a connection between the digital and physical world. The document outlines the key functional blocks of IoT including devices, communication, services, management, security, and applications. It also discusses the utilities of IoT and provides examples of domain-specific IoT applications in areas like wireless sensor networks, aquaculture, distributed sensor networks, smart societies, and location-aware services. The document concludes by noting that IoT has added new potential to the internet by enabling communications between objects and humans to make a smarter planet.
In this presentation, Shruthi introduces IoT and latest trends in that domain. Shruthi is interested in security of IoT devices and developing communication protocols for IoT devices.
The document discusses the Internet of Things (IoT). It defines IoT as connecting "things" or objects to the Internet. It traces the origins and development of IoT from 1999 when the term was coined to its growth in recent years. The document also outlines IoT architecture including devices, gateways, protocols and cloud platforms. It examines applications of IoT in various sectors like home automation, transportation, healthcare, agriculture, smart grids and smart cities. Finally, it analyzes challenges to IoT adoption like sensing environments, connectivity standards, power consumption and security/privacy issues.
ThingsBoard IoT Platform provides device management, telemetry, data processing and visualization. It combines with ThingsBoard IoT Gateway and Trendz Analytics. It is suitable for a wide variety of use cases including smart energy, fleet tracking, smart farming and IIoT.
Internet of Things (IoT) - Slide Marvels, Top PowerPoint presentation design ...Slide Marvels
This is a small video done with Microsoft PowerPoint by the designers of Slide Marvels on the topic 'Internet of Things (IoT).
Slide Marvels (www.slidemarvels.com) is a leading Presentation Design Company having experience of many years. We are a professional team of presentation designers who have already worked in major consulting firms like McKinsey & Co., Boston Consulting Group and Deloitte to mentioned some of them.
Our passion is to build and design any type of PowerPoint presentations from pitch decks, team meeting, training documents up to webinar documents and more. We always design World Class presentation that you will be proud of.
www.slidemarvels.com
IoT Introduction Architecture and ApplicationsThe IOT Academy
The document provides an overview of the Internet of Things (IoT). It discusses IoT architecture including components like sensors, gateways, cloud platforms and applications. It outlines various IoT applications in different domains like manufacturing, healthcare, transportation etc. The document also discusses challenges in IoT deployment related to interoperability, security and skills. It highlights the importance of skills like embedded systems, cloud computing, data analytics for jobs in IoT domain. Finally, it gives examples of how a company called UCT is applying IoT in products like street lighting, irrigation and building automation.
The document defines the Internet of Things as connecting physical objects through embedded technology and sensors to communicate over the Internet. It allows objects to be monitored and controlled remotely without human involvement. RFID tags are commonly used to give objects an Internet connection. The Internet of Things has applications in smart homes, cities, healthcare, transportation and more. While it provides advantages like energy savings, there are also disadvantages like privacy breaches and job losses if systems are over-relied on.
This document provides an introduction to the Internet of Things (IOT). It defines IOT as the collection of physical devices connected over the internet that can exchange data with less human involvement. The history and key technologies that enabled IOT are discussed, including wireless sensor networks, RFID, and cloud computing. The document also outlines the typical architecture of an IOT system including sensing, network, service, and application layers. Common IOT standards, protocols, and applications are summarized along with research areas and challenges in IOT development.
Internet of Things (IoT) - We Are at the Tip of An IcebergDr. Mazlan Abbas
You are likely benefitting from The Internet of Things (IoT) today, whether or not you’re familiar with the term. If your phone automatically connects to your car radio, or if you have a smartwatch counting your steps, congratulations! You have adopted one small piece of a very large IoT pie, even if you haven't adopted the name yet.
IoT may sound like a business buzzword, but in reality, it’s a real technological revolution that will impact everything we do. It's the next IT Tsunami of new possibility that is destined to change the face of technology, as we know it. IoT is the interconnectivity between things using wireless communication technology (each with their own unique identifiers) to connect objects, locations, animals, or people to the Internet, thus allowing for the direct transmission of and seamless sharing of data.
IoT represents a massive wave of technical innovation. Highly valuable companies will be built and new ecosystems will emerge from bridging the offline world with the online into one gigantic new network. Our limited understanding of the possibilities hinders our ability to see future applications for any new technology. Mainstream adoption of desktop computers and the Internet didn’t take hold until they became affordable and usable. When that occurred, fantastic and creative new innovation ensued. We are on the cusp of that tipping point with the Internet of Things.
IoT matters because it will create new industries, new companies, new jobs, and new economic growth. It will transform existing segments of our economy: retail, farming, industrial, logistics, cities, and the environment. It will turn your smartphone into the command center for the both digital and physical objects in your life. You will live and work smarter, not harder – and what we are seeing now is only the tip of the iceberg.
The document discusses the Internet of Things (IoT). It provides examples of IoT devices like smart homes, smart locks, and smart mirrors. It outlines advantages like convenience, tracking capabilities, and cost savings. Disadvantages include lack of compatibility standards, complexity, privacy/security risks, and potential safety issues if devices are hacked. Finally, it briefly profiles several IoT companies like ARM, Bosch, and Ericsson that are helping enable the connection of billions of devices through sensors and networking.
The document discusses the Internet of Things (IoT). It defines IoT as a system of interconnected devices, machines, objects, animals, and people that can transfer data over a network without human interaction. The document notes that IoT allows everyday objects to gather and share sensor data. It provides examples of application areas for IoT like smart homes, wearables, healthcare, and vehicles. Finally, it acknowledges that the future of IoT is promising as the technology continues to develop new possibilities.
This document discusses design aspects of the Internet of Things (IoT). It begins with an introduction that defines IoT as connecting devices over the internet to control things remotely and make life easier. Key points include IoT allowing any thing, place, and time connections. By 2020, it is estimated that 50 billion objects will be connected. The document then discusses technologies used in IoT like RFID, Bluetooth, and WiFi. It also addresses open challenges like interoperability, scalability, and security. The proposed architecture includes network, system, and device levels. Changes to the IPv6 protocol are suggested to address issues with addressing billions of devices. The document concludes by outlining how the proposed approach could benefit IoT applications
Internet of things (IOT) connects physical to digitalEslam Nader
1) The document discusses the topic of Internet of Things (IoT). It defines IoT as a network of physical objects embedded with sensors that can collect and exchange data.
2) The document outlines some key characteristics of IoT including connectivity, data collection, communication, intelligence, and action. It also discusses how IoT works by collecting data via sensors, communicating data through networks, analyzing the data, and taking action.
3) Several potential research topics in IoT are proposed, including applying deep learning for intrusion detection in IoT networks, finding dead zones in large IoT networks, and developing governance models for machine learning algorithms within IoT.
A presentation on IoT - Internet of Things. Helps in getting a overview about the technology, architecture, platforms & applications used. With one real life example of Philips Hue Lights
This document discusses Internet of Things (IoT) data analytics and compares several popular IoT platforms. It begins with an overview of IoT concepts like sensors, connectivity technologies, and components. It then examines Google's architecture for real-time streaming before comparing features of Bosch, Cisco, AWS, and Azure IoT platforms, including device management, analytics, security, and pricing. Finally, it outlines factors to consider when selecting an IoT platform, such as device capabilities, data needs, industry, and infrastructure requirements.
This document discusses how IoT can be used to create a smart city by connecting devices and sensors to provide real-time data collection and monitoring of various city systems and services. Some key applications of IoT in a smart city include smart transportation through connected vehicles that provide traffic information, smart buildings that remotely monitor energy and utilities, smart hospitals that allow remote patient monitoring and doctor consultations, and facilities to help serve the disabled community through connected assistive devices. Overall, IoT in a smart city aims to simplify life for citizens through automated and interconnected systems that are managed online.
Internet of Things (IoT) will enable dramatic society transformation. This seminar presents an introduction to the IoT and explains why IoT Security is important.
Then it presents security issues in wireless sensor networks that constitute a main ingredient of IoT.
Seminar given at Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) on 28 January 2015.
The document discusses the Internet of Things (IoT), which allows machines to communicate with each other through sensors and connectivity to share data and take actions. It describes IoT as a network of physical objects that can interact using technologies like RFID, sensors, wireless communication, energy harvesting, and cloud computing. The document outlines the architecture of IoT including sensor, gateway/network, management service, and application layers. It discusses current and future applications of IoT in areas like smart cities, healthcare, agriculture, and transportation. Major challenges of IoT include big data explosion, security/privacy, and power efficiency. The future of IoT is presented as increasingly connected smart homes, grids, cities, and factories.
The document discusses the future of the Internet of Things (IoT). It defines IoT as connecting physical devices to exchange data and integrate the physical world into computer systems. The architecture of IoT is described as having four layers - a sensor layer to collect real-time data, a gateway layer to support communication, a service layer to analyze data, and an application layer for user interfaces. Challenges of IoT include scalability, standardization, and data volumes. Applications are in smart homes, cities, grids, cars, health, and supply chains. The future of IoT is vast due to advances enabling integration across devices.
Presentation at IoT World, May 2016 in Santa Clara, CA. Session "Manage your IoT Sensor Data at the Edge! Control your IoT sensor data at the most appropriate spot" (Thursday, 12 May 2016. IoT & the Cloud Track)
This document discusses fog computing and its role in supporting Internet of Things applications. It defines fog computing as extending cloud computing to the edge of the network to enable applications requiring low latency, mobility support, and location awareness. Key characteristics of fog include its geographical distribution, support for real-time interactions, and role in streaming and sensor applications. The document argues fog is well-suited as a platform for connected vehicles, smart grids, smart cities, and wireless sensor networks due to its ability to meet latency and mobility requirements. It also describes the interplay between fog and cloud for data analytics, with fog handling real-time analytics near data sources and cloud providing long-term global analytics.
ThingsBoard IoT Platform provides device management, telemetry, data processing and visualization. It combines with ThingsBoard IoT Gateway and Trendz Analytics. It is suitable for a wide variety of use cases including smart energy, fleet tracking, smart farming and IIoT.
Internet of Things (IoT) - Slide Marvels, Top PowerPoint presentation design ...Slide Marvels
This is a small video done with Microsoft PowerPoint by the designers of Slide Marvels on the topic 'Internet of Things (IoT).
Slide Marvels (www.slidemarvels.com) is a leading Presentation Design Company having experience of many years. We are a professional team of presentation designers who have already worked in major consulting firms like McKinsey & Co., Boston Consulting Group and Deloitte to mentioned some of them.
Our passion is to build and design any type of PowerPoint presentations from pitch decks, team meeting, training documents up to webinar documents and more. We always design World Class presentation that you will be proud of.
www.slidemarvels.com
IoT Introduction Architecture and ApplicationsThe IOT Academy
The document provides an overview of the Internet of Things (IoT). It discusses IoT architecture including components like sensors, gateways, cloud platforms and applications. It outlines various IoT applications in different domains like manufacturing, healthcare, transportation etc. The document also discusses challenges in IoT deployment related to interoperability, security and skills. It highlights the importance of skills like embedded systems, cloud computing, data analytics for jobs in IoT domain. Finally, it gives examples of how a company called UCT is applying IoT in products like street lighting, irrigation and building automation.
The document defines the Internet of Things as connecting physical objects through embedded technology and sensors to communicate over the Internet. It allows objects to be monitored and controlled remotely without human involvement. RFID tags are commonly used to give objects an Internet connection. The Internet of Things has applications in smart homes, cities, healthcare, transportation and more. While it provides advantages like energy savings, there are also disadvantages like privacy breaches and job losses if systems are over-relied on.
This document provides an introduction to the Internet of Things (IOT). It defines IOT as the collection of physical devices connected over the internet that can exchange data with less human involvement. The history and key technologies that enabled IOT are discussed, including wireless sensor networks, RFID, and cloud computing. The document also outlines the typical architecture of an IOT system including sensing, network, service, and application layers. Common IOT standards, protocols, and applications are summarized along with research areas and challenges in IOT development.
Internet of Things (IoT) - We Are at the Tip of An IcebergDr. Mazlan Abbas
You are likely benefitting from The Internet of Things (IoT) today, whether or not you’re familiar with the term. If your phone automatically connects to your car radio, or if you have a smartwatch counting your steps, congratulations! You have adopted one small piece of a very large IoT pie, even if you haven't adopted the name yet.
IoT may sound like a business buzzword, but in reality, it’s a real technological revolution that will impact everything we do. It's the next IT Tsunami of new possibility that is destined to change the face of technology, as we know it. IoT is the interconnectivity between things using wireless communication technology (each with their own unique identifiers) to connect objects, locations, animals, or people to the Internet, thus allowing for the direct transmission of and seamless sharing of data.
IoT represents a massive wave of technical innovation. Highly valuable companies will be built and new ecosystems will emerge from bridging the offline world with the online into one gigantic new network. Our limited understanding of the possibilities hinders our ability to see future applications for any new technology. Mainstream adoption of desktop computers and the Internet didn’t take hold until they became affordable and usable. When that occurred, fantastic and creative new innovation ensued. We are on the cusp of that tipping point with the Internet of Things.
IoT matters because it will create new industries, new companies, new jobs, and new economic growth. It will transform existing segments of our economy: retail, farming, industrial, logistics, cities, and the environment. It will turn your smartphone into the command center for the both digital and physical objects in your life. You will live and work smarter, not harder – and what we are seeing now is only the tip of the iceberg.
The document discusses the Internet of Things (IoT). It provides examples of IoT devices like smart homes, smart locks, and smart mirrors. It outlines advantages like convenience, tracking capabilities, and cost savings. Disadvantages include lack of compatibility standards, complexity, privacy/security risks, and potential safety issues if devices are hacked. Finally, it briefly profiles several IoT companies like ARM, Bosch, and Ericsson that are helping enable the connection of billions of devices through sensors and networking.
The document discusses the Internet of Things (IoT). It defines IoT as a system of interconnected devices, machines, objects, animals, and people that can transfer data over a network without human interaction. The document notes that IoT allows everyday objects to gather and share sensor data. It provides examples of application areas for IoT like smart homes, wearables, healthcare, and vehicles. Finally, it acknowledges that the future of IoT is promising as the technology continues to develop new possibilities.
This document discusses design aspects of the Internet of Things (IoT). It begins with an introduction that defines IoT as connecting devices over the internet to control things remotely and make life easier. Key points include IoT allowing any thing, place, and time connections. By 2020, it is estimated that 50 billion objects will be connected. The document then discusses technologies used in IoT like RFID, Bluetooth, and WiFi. It also addresses open challenges like interoperability, scalability, and security. The proposed architecture includes network, system, and device levels. Changes to the IPv6 protocol are suggested to address issues with addressing billions of devices. The document concludes by outlining how the proposed approach could benefit IoT applications
Internet of things (IOT) connects physical to digitalEslam Nader
1) The document discusses the topic of Internet of Things (IoT). It defines IoT as a network of physical objects embedded with sensors that can collect and exchange data.
2) The document outlines some key characteristics of IoT including connectivity, data collection, communication, intelligence, and action. It also discusses how IoT works by collecting data via sensors, communicating data through networks, analyzing the data, and taking action.
3) Several potential research topics in IoT are proposed, including applying deep learning for intrusion detection in IoT networks, finding dead zones in large IoT networks, and developing governance models for machine learning algorithms within IoT.
A presentation on IoT - Internet of Things. Helps in getting a overview about the technology, architecture, platforms & applications used. With one real life example of Philips Hue Lights
This document discusses Internet of Things (IoT) data analytics and compares several popular IoT platforms. It begins with an overview of IoT concepts like sensors, connectivity technologies, and components. It then examines Google's architecture for real-time streaming before comparing features of Bosch, Cisco, AWS, and Azure IoT platforms, including device management, analytics, security, and pricing. Finally, it outlines factors to consider when selecting an IoT platform, such as device capabilities, data needs, industry, and infrastructure requirements.
This document discusses how IoT can be used to create a smart city by connecting devices and sensors to provide real-time data collection and monitoring of various city systems and services. Some key applications of IoT in a smart city include smart transportation through connected vehicles that provide traffic information, smart buildings that remotely monitor energy and utilities, smart hospitals that allow remote patient monitoring and doctor consultations, and facilities to help serve the disabled community through connected assistive devices. Overall, IoT in a smart city aims to simplify life for citizens through automated and interconnected systems that are managed online.
Internet of Things (IoT) will enable dramatic society transformation. This seminar presents an introduction to the IoT and explains why IoT Security is important.
Then it presents security issues in wireless sensor networks that constitute a main ingredient of IoT.
Seminar given at Centre Tecnològic de Telecomunicacions de Catalunya (CTTC) on 28 January 2015.
The document discusses the Internet of Things (IoT), which allows machines to communicate with each other through sensors and connectivity to share data and take actions. It describes IoT as a network of physical objects that can interact using technologies like RFID, sensors, wireless communication, energy harvesting, and cloud computing. The document outlines the architecture of IoT including sensor, gateway/network, management service, and application layers. It discusses current and future applications of IoT in areas like smart cities, healthcare, agriculture, and transportation. Major challenges of IoT include big data explosion, security/privacy, and power efficiency. The future of IoT is presented as increasingly connected smart homes, grids, cities, and factories.
The document discusses the future of the Internet of Things (IoT). It defines IoT as connecting physical devices to exchange data and integrate the physical world into computer systems. The architecture of IoT is described as having four layers - a sensor layer to collect real-time data, a gateway layer to support communication, a service layer to analyze data, and an application layer for user interfaces. Challenges of IoT include scalability, standardization, and data volumes. Applications are in smart homes, cities, grids, cars, health, and supply chains. The future of IoT is vast due to advances enabling integration across devices.
Presentation at IoT World, May 2016 in Santa Clara, CA. Session "Manage your IoT Sensor Data at the Edge! Control your IoT sensor data at the most appropriate spot" (Thursday, 12 May 2016. IoT & the Cloud Track)
This document discusses fog computing and its role in supporting Internet of Things applications. It defines fog computing as extending cloud computing to the edge of the network to enable applications requiring low latency, mobility support, and location awareness. Key characteristics of fog include its geographical distribution, support for real-time interactions, and role in streaming and sensor applications. The document argues fog is well-suited as a platform for connected vehicles, smart grids, smart cities, and wireless sensor networks due to its ability to meet latency and mobility requirements. It also describes the interplay between fog and cloud for data analytics, with fog handling real-time analytics near data sources and cloud providing long-term global analytics.
Big data caching for networking : Moving from cloud to edgeHicham HAMMOUCHI
This document discusses moving big data caching from the cloud to the edge using machine learning. It proposes (1) harnessing big data and machine learning to estimate content popularity for proactive caching, (2) implementing a cache-enabled architecture at the edge where devices provide cloud-like computing instead of the cloud, and (3) using a case study analyzing real data traces to show potential backhaul offloading gains.
Improving Web Siste Performance Using Edge Services in Fog Computing Architec...Jiang Zhu
We consider web optimization within Fog Computing context. We apply existing methods for web optimization in a novel manner, such that these methods can be combined with unique knowledge that is only available at the edge (Fog) nodes. More dynamic adaptation to the user’s conditions (eg. network status and device’s computing load) can also be accomplished with network edge specific knowledge. As a result, a user’s webpage rendering performance is improved beyond that achieved by simply applying those methods at the webserver or CDNs.
This document discusses analytics at the edge in Internet of Things environments. It provides an overview of edge computing and examples of edge devices. It then introduces Apache Edgent (formerly Quarks), an open source programming model and runtime for streaming analytics at the edge. The document also discusses using the Informix database for analytics on sensor data both at the edge and in the cloud, and it demonstrates connecting Edgent to Informix on a Raspberry Pi for real-time sensor data analysis.
The data streaming paradigm and its use in Fog architecturesVincenzo Gulisano
These are the slides for the lecture I gave at the EBSIS Summer School about data streaming and its challenges and trade-offs for data analysis in Fog architectures.
The document discusses security issues that arise from using fog computing in internet of things (IoT) systems. It begins with introducing cloud computing, IoT, and fog computing. Fog computing provides benefits over cloud by acting as an intermediate layer between IoT devices and cloud to reduce latency. However, fog introduces new security threats including man-in-the-middle attacks, malicious fog nodes, and privacy issues. The document examines existing security technologies that could help address these threats and proposes that future work develop systems to efficiently analyze logs from fog environments.
The Razor's Edge: Enabling Cloud While Mitigating the Risk of a Cloud Data Br...Netskope
Shadow IT. It's not a new term and certainly not a new challenge. But with only blunt-force solutions like saying "no" or blocking cloud services at the firewall, IT has not been able to do much to address the challenge. This is all changing. Business and IT leaders alike see real value in cloud services and want to take a lean-forward approach to enabling them. The reality, though, is that cloud services are not without their risks, and the risk of a data breach increases when the cloud is involved. Hear from Netskope about the risks, economic impact, and multiplier effect of a cloud data breach, and how forward-looking organizations are walking the razor’s edge to mitigate these risks while enabling the cloud.
For the full video of this presentation, please visit:
https://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/may-2017-embedded-vision-summit-maslan
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Carter Maslan, CEO of Camio, presents the "Blending Cloud and Edge Machine Learning to Deliver Real-time Video Monitoring" tutorial at the May 2017 Embedded Vision Summit.
Network cameras and other edge devices are collecting ever-more video – far more than can be economically transported to the cloud. This argues for putting intelligence in edge devices. But the cloud offers unique, valuable capabilities, such as aggregating information from multiple cameras, applying state-of-the-art algorithms, and providing users with access to their data anywhere, any time.
Camio uses a combination of machine learning at the edge (in network cameras and network video recorders) and in the cloud to generate alerts, highlight the most significant events captured by a camera, and to let users search for events of interest. In this talk, Maslan explores the trade-offs between edge and cloud processing for systems that extract meaning from video, and explains how the two approaches can be combined to create big opportunities.
In this presentation, I am going to briefly talk about 'what cloud is' and highlight the various types of cloud (IaaS, PaaS, SaaS). The bulk of the talk will be about using the fog gem using IaaS. I will discuss fog concepts (collections, models, requests, services, providers) and supporting these with actual examples using fog
Towards the extinction of mega data centres? To which extent should the Clou...Thierry Coupaye
Keynote by Thierry Coupaye at the IEEE International Conference on Cloud Networking, Niagara Falls, Canada, October 2015.
Summary: Cloud computing emerged, a decade or so ago, from underused computing and storage ressources in Internet players mega data centres that were thought to be provided "as a service". As a result of this inception, Cloud is often considered as a synonym for massive data center, which somehow fuels a very centralised vision of (cloud) computing and storage provision. However, we might be at a time in which the pendulum begins to swing back. Indeed, several initiatives are emerging around a vision of more geographically distributed clouds where computing and storage resources are made available at the edge of the network, close to users, in complement or replacement of massive remote data centres. This presentation discusses, through some examples, the evolution of cloud architectures towards more distribution, the signs and stakes of these mutations.
The document discusses fog computing and its role in industrial IoT (IIoT) systems. Fog computing refers to flexible, distributed computing resources and services located between end devices and centralized cloud computing infrastructure. It helps enable real-time response, reliable availability, and complex data management required for IIoT applications. The Industrial Internet Consortium is working to develop common architectures to connect sensors to cloud across industries using fog computing technologies like the Data Distribution Service standard.
Big Data and Internet of Things: A Roadmap For Smart Environments, Fog Comput...Jiang Zhu
1) The document proposes Fog Computing as a new platform that extends cloud computing to the edge of the network in order to address the needs of latency-sensitive IoT applications.
2) Two use cases are described to illustrate the key requirements of Fog Computing: a smart traffic light system that requires local subsystem latency of less than 10ms, and a wind farm that involves real-time analytics and coordination across a wide geographical area.
3) The key attributes that Fog Computing aims to address include mobility, geo-distribution, low and predictable latency, interplay between fog and cloud for data analytics, consistency in highly distributed systems, multi-tenancy, and multi-agency coordination.
The document discusses the evolution of IoT architectures from cloud-centric to more distributed models like fog and mist computing. It argues that a unifying "Fluid IoT Architecture" is needed to eliminate technological segregation across cloud, fog, and mist layers. This proposed Fluid IoT Architecture would abstract computing, storage, and networking resources from end to end.
IBM IoT Architecture and Capabilities at the Edge and Cloud Pradeep Natarajan
IBM Informix is presented as the ideal database solution for IoT architectures due to its small footprint, low memory requirements, support for time series and spatial data, and driverless operation requiring no administration. It can run on gateways to filter and analyze sensor data locally before transmitting to the cloud. In the cloud, Informix can ingest streaming data in real-time, perform operational analytics, and scale out across servers. Benchmarks show Informix outperforming SQLite for IoT workloads in areas like data loading speed, storage requirements, and analytic query speeds.
Introduction to the AGILE project: open source modular gateway for the IoT (C...AGILE IoT
This document introduces AGILE, an open source modular IoT gateway that aims to decentralize the IoT. It discusses issues with the current centralized IoT landscape and vendor-specific clouds. AGILE seeks to give users full control of their devices and data by providing a gateway that allows users to control devices, store and manage data, create and run apps, and share data while preserving ownership. The document outlines AGILE's objectives, features, ecosystem of developers, industry, and end users, and funding opportunities to support its open source goals.
This document discusses KURA, an open source Java and OSGi-based application framework for M2M/IoT service gateways. KURA aims to simplify embedded application development and deployment by providing a cohesive environment, modular components, hardware abstraction, and tools for remote management. It allows developers to focus on their applications while handling common tasks like communication protocols and device management. KURA also aims to reduce the gap between embedded and enterprise software through standards, tools, and decoupling layers.
IoT is a green field of new business opportunities. The ran has started…..
Everyware Device Cloud (EDC) is a full set of Operational Technologies available also as a service, which represent the fastest way to start an IoT business.
You can connect a Device to Cloud in 15 minutes.
With EDC A typical IoT project would take 2 to 6 months to go live and the ROI is really fast
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Fin fest 2014 - Internet of Things and APIsRobert Greiner
An overview of the core concepts behind the ultra-hyped Internet of Things. We start the presentation with an overview and slight re-classification of what the Internet of Things is. Then, we jump into how to *serve* the internet of things - discussing a homebrew project using the RaspberryPi and Microsoft Azure.
Session 1908 connecting devices to the IBM IoT CloudPeterNiblett
IBM MessageSight and the IBM Internet of Things cloud enable connectivity across a wide variety of devices - from existing devices in silos and systems through the wide range of new devices that are appearing on a daily basis. This session covers patterns of connectivity, how to make it happen, including sending events like measurements and receiving of commands. The session goes into detail on how to use the industry standard MQ Telemetry Transport protocol to achieve this and encompasses best practices for topics and message format.
IoT platforms provide tools and services to connect heterogeneous IoT devices, enable data flow and storage, and offer data analysis capabilities. They are scalable to handle billions of devices and messages per hour. Key features of IoT platforms include powerful data analytics and visualization dashboards, integration with other tools and platforms, and pay-as-you-go pricing models. Popular IoT platforms include Google Cloud Platform, Salesforce IoT Cloud, ThingWorx, IBM Watson IoT, Amazon AWS IoT Core, Microsoft Azure IoT Suite, Oracle IoT, and Cisco IoT Cloud Connect.
Supelec m2 m - iot - course 1 - update 2015 - part 1 - warming - v(0.1)Thierry Lestable
Internet of things (IoT) & Machine-to-Machine (M2M) course from Supélec - Warming phase / Q1'2015 session. Introduction of New alliances : HomeKit, Nest, Allseen, OIC
Connecting devices to the internet of thingsBernard Kufluk
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Total cost of ownership in these IoT solutions matters a lot more than the simple combined hardware and software cost per edge node. Sophisticated software elements – including business intelligence tools, databases, and analytics packages – leverage data remotely and centrally to achieve the best results for customers. A perfect example of an analytics solution using such an approach is the predictive maintenance solution that Hitachi offers, leveraging Eurotech’s IoT hardware and software building blocks that heavily rely on OSGi.
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The document describes IBM's Watson IoT Platform. It discusses how the platform connects devices to collect data, uses analytics to gain insights from the data, and manages security and privacy. Key capabilities mentioned include connecting devices, integrating contextual data sources, performing real-time and predictive analytics, and ensuring risk is properly managed. Use cases across various industries like automotive, transportation, and healthcare are provided.
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Track 4 session 6 - st dev con 2016 - samsung artikST_World
This document discusses the role of platforms in IoT and introduces the Samsung ARTIK IoT platform. It notes that IoT will impact nearly every market and have a total economic impact of $3.9-11.1 trillion annually by 2025. IoT projects face many underestimated costs including software development, cloud costs, and security concerns. The Samsung ARTIK platform aims to provide a complete end-to-end IoT solution from edge nodes and gateways to cloud and apps to help customers focus on their applications. Key capabilities include wireless connectivity, scalable hardware, integrated middleware, device and cloud APIs/SDKs, security, device management, and data analytics tools.
The IoT Food Chain – Picking the Right Dining Partner is Important with Dean ...gogo6
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Presentation Abstract
The Internet of Things means many different things to different people. What is key about the IoT is there is a distinct food chain that runs from the silicon devices to the services and then back. The level of success you will have in the IoT is heavily dependent upon where you fit in the food chain, and if you have the capability to move up the chain or across the chain into different verticals. In this presentation we will explore the food chain, what is important and what steps need to be taken to succeed in the world of the IoT.
Embark on a journey into the heart of IoT and Android connectivity with Ficode. Our brand stands at the forefront of technology, breaking barriers and exploring new horizons. "IoT and Android: How These Devices Connect and Communicate (with/without Internet)!" becomes a reality with Ficode's innovative solutions. Immerse yourself in a world where devices seamlessly communicate, enhancing your daily experiences. Whether online or offline, our products ensure uninterrupted connectivity, empowering you to control your environment effortlessly. Embrace the future with Ficode and witness the power of limitless connections. For more detail visit our website: https://www.ficode.co.uk/services/iot-development
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3. 4
#MovingTheFuture
IoT Backend
Edge + Cloud
Data Fusion &
Integration Platform
Enabling Product as a Service
Connectivity
Data & Control
User + Device Management Business Logic Mapping
Application(s)
Enterprise (Integration)
Machine IntelligenceUse case optimized, business-model
driven IoT-applications to augment
physical products as a service.
5. 6
Anything that can be measured or connected or controlled, will
be.
WE NOW LIVE IN A CONNECTED
ECONOMY
yes, anything. and everything.
#MovingTheFuture
6. 7
“CEOs are moving from leading companies
that make cars, toasters, elevators,
construction equipment, washing machines
and more to companies that are, basically,
producing Internet-connected devices.” - Forrester
#MovingTheFuture
It is an opportunity to catapult your business and become
a technology company.
7. 8
#MovingTheFuture
Market Size is Huge.
Imagine when everything physical is
connected…
$6.2 Trillion Economic Opportunity by 2025
$7.6 Trillion Opportunity by 2025 in IIoT, $3.5 in Consumer
8. 9
“Things” in perspective
2015
Human
Population
# of
Devices
0
5
10
15
20
25
30
35
Billions
2016 2017 2018 2019 2020
Global Internet Users 2015 -
3.25B growing @ 7%
#MovingTheFutureSource/Credits: McKinsey, IDC, KPCB,
census.gov
The scale which we build for.
9. LayeredSecurity
10
Building IoT Apps takes software, lots of
software…and a good bit of hardware
#MovingTheFuture
Connectivity Compute Storage
Sensing Actuating
OS, Drivers, Application Mgmt Framework
Web & Mobile App(s)
Data and Control
App-based User & Device Management
Business Logic & Workflow Mapping
BillingIntegration
EnterpriseIntgr.
DataInterface
Analytics
Reporting
Visualization
Machine Learning
Sensor | Actuator | Thing
| Device | Node
Gateway | Edge | Fog Cloud
Data
Analytics
Machine Learning
IoT Apps are distributed
12. 13
Typical IoT Architecture
Devices (Constrained)
Sensors & Actuators
Enterprise
Integration
IoT-Cloud
Complex /
Composite
Devices
Gateways
Edge | Fog
User-facing IoT
Apps
Sensing | Telemetry
Actuation | Control
Partner / Customer
IoT Cloud(s)
Sensor:
Responsible for interfacing
the “physical” thing to the
“digital” world
Simple or Complex: A simple
temperature sensor or a
complex machine like a
Tractor or Washing Machine
Interfaces wirelessly or wired
using many different
protocols
13. 13
Typical IoT Architecture
Devices (Constrained)
Sensors & Actuators
Enterprise
Integration
IoT-Cloud
Complex /
Composite
Devices
Gateways
Edge | Fog
User-facing IoT
Apps
Sensing | Telemetry
Actuation | Control
Partner / Customer
IoT Cloud(s)
Sensor:
Responsible for interfacing
the “physical” thing to the
“digital” world
Simple or Complex: A simple
temperature sensor or a
complex machine like a
Tractor or Washing Machine
Interfaces wirelessly or wired
using many different
protocols
Gateway or Edge:
Provides local/edge
processing
Rule Engine, Local Analytics
Local storage
Interfaces to the Sensors/
Things
Connects to the Cloud,
provides IP connectivity
14. 13
Typical IoT Architecture
Devices (Constrained)
Sensors & Actuators
Enterprise
Integration
IoT-Cloud
Complex /
Composite
Devices
Gateways
Edge | Fog
User-facing IoT
Apps
Sensing | Telemetry
Actuation | Control
Partner / Customer
IoT Cloud(s)
Sensor:
Responsible for interfacing
the “physical” thing to the
“digital” world
Simple or Complex: A simple
temperature sensor or a
complex machine like a
Tractor or Washing Machine
Interfaces wirelessly or wired
using many different
protocols
Gateway or Edge:
Provides local/edge
processing
Rule Engine, Local Analytics
Local storage
Interfaces to the Sensors/
Things
Connects to the Cloud,
provides IP connectivity
Cloud:
Interfaces with all sensors/
things, collects data, and
controls/manages the things
interfaces with business
applications
provides interface for control,
visualization, reporting,
alerts/notifications
15. 13
Typical IoT Architecture
Devices (Constrained)
Sensors & Actuators
Enterprise
Integration
IoT-Cloud
Complex /
Composite
Devices
Gateways
Edge | Fog
User-facing IoT
Apps
Sensing | Telemetry
Actuation | Control
Partner / Customer
IoT Cloud(s)
Sensor:
Responsible for interfacing
the “physical” thing to the
“digital” world
Simple or Complex: A simple
temperature sensor or a
complex machine like a
Tractor or Washing Machine
Interfaces wirelessly or wired
using many different
protocols
Gateway or Edge:
Provides local/edge
processing
Rule Engine, Local Analytics
Local storage
Interfaces to the Sensors/
Things
Connects to the Cloud,
provides IP connectivity
Cloud:
Interfaces with all sensors/
things, collects data, and
controls/manages the things
interfaces with business
applications
provides interface for control,
visualization, reporting,
alerts/notifications
Mobile Apps:
Mobile Apps - primarily
design to work @ system
level
Aiding in provisioning,
installing and monitoring
Consumer/Customer level
user interface to interact or
manage the system
16. 14
Devices (Constrained)
Sensors & Actuators
Enterprise
Integration
IoT-Cloud
Complex /
Composite
Devices
Gateways
Edge | Fog
User-facing IoT
Apps
Sensing | Telemetry
Actuation | Control
Where are the “things”?
Partner / Customer
IoT Cloud(s)
17. 14
Devices (Constrained)
Sensors & Actuators
Enterprise
Integration
IoT-Cloud
Complex /
Composite
Devices
Gateways
Edge | Fog
User-facing IoT
Apps
Sensing | Telemetry
Actuation | Control
Where are the “things”?
Partner / Customer
IoT Cloud(s)
10s of
Billions
Billions
100s of
Millions
10s-100s of
Thousands
20. 15
Software across Distributed Architecture
Devices (Constrained)
Sensors & Actuators
Enterprise
Integration
IoT-Cloud
Complex /
Composite
Devices
Gateways
Edge | Fog
User-facing IoT
Apps
Sensing | Telemetry
Actuation | Control
Partner / Customer
IoT Cloud(s)
Primarily Embedded
Programming with C & C++
Node/JS and Python
gaining some traction, and
may continue to grow
Java-versions also present
Constrained level
programming, firmware
talent. Talent hard to come
by
Knowledge of hardware
benefits
21. 15
Software across Distributed Architecture
Devices (Constrained)
Sensors & Actuators
Enterprise
Integration
IoT-Cloud
Complex /
Composite
Devices
Gateways
Edge | Fog
User-facing IoT
Apps
Sensing | Telemetry
Actuation | Control
Partner / Customer
IoT Cloud(s)
Primarily Embedded
Programming with C & C++
Node/JS and Python
gaining some traction, and
may continue to grow
Java-versions also present
Constrained level
programming, firmware
talent. Talent hard to come
by
Knowledge of hardware
benefits
Mix of Embedded/Firmware
and High Level Programming
Most Gateways support Linux
- Linux/Unix style OS
programming experience
helpful
Languages: C/C++/Node/
Python/Java
Connectivity Stack, Drivers,
Networking Protocols
Sockets, REST, Pub/Sub
22. 15
Software across Distributed Architecture
Devices (Constrained)
Sensors & Actuators
Enterprise
Integration
IoT-Cloud
Complex /
Composite
Devices
Gateways
Edge | Fog
User-facing IoT
Apps
Sensing | Telemetry
Actuation | Control
Partner / Customer
IoT Cloud(s)
Primarily Embedded
Programming with C & C++
Node/JS and Python
gaining some traction, and
may continue to grow
Java-versions also present
Constrained level
programming, firmware
talent. Talent hard to come
by
Knowledge of hardware
benefits
Mix of Embedded/Firmware
and High Level Programming
Most Gateways support Linux
- Linux/Unix style OS
programming experience
helpful
Languages: C/C++/Node/
Python/Java
Connectivity Stack, Drivers,
Networking Protocols
Sockets, REST, Pub/Sub
Public Cloud: AWS, Azure,
Heroku, Bluemix, Google
Java,Node(Primary), Other:
Net,Golang
API Integration, Cloud to
Cloud, Pub/Sub, Messaging
Enterprise Integration
Remote Mgmt / Dev Mgmt
Visualization & Analytics
23. 15
Software across Distributed Architecture
Devices (Constrained)
Sensors & Actuators
Enterprise
Integration
IoT-Cloud
Complex /
Composite
Devices
Gateways
Edge | Fog
User-facing IoT
Apps
Sensing | Telemetry
Actuation | Control
Partner / Customer
IoT Cloud(s)
Primarily Embedded
Programming with C & C++
Node/JS and Python
gaining some traction, and
may continue to grow
Java-versions also present
Constrained level
programming, firmware
talent. Talent hard to come
by
Knowledge of hardware
benefits
Mix of Embedded/Firmware
and High Level Programming
Most Gateways support Linux
- Linux/Unix style OS
programming experience
helpful
Languages: C/C++/Node/
Python/Java
Connectivity Stack, Drivers,
Networking Protocols
Sockets, REST, Pub/Sub
Public Cloud: AWS, Azure,
Heroku, Bluemix, Google
Java,Node(Primary), Other:
Net,Golang
API Integration, Cloud to
Cloud, Pub/Sub, Messaging
Enterprise Integration
Remote Mgmt / Dev Mgmt
Visualization & Analytics
Web technologies for Web
Apps
IOS / Android
Networking & Protocol
Programming
24. 16
#MovingTheFuture
Edge: Sensor - Gateway
Sensor | Actuator | Thing
| Device | Node Gateway | Edge | Fog
Sensing:
Accelerometer, Magnetometer, Gyroscope,
Pressure, Temperature, Altimeter, pH, Gas,
Proximity
Actuator
Embedded Processing: MCU, MPU, Hybrid
MPU, Network Processor, Graphics
Processor
OS/RTOS, Drivers, Network Stack, Security,
Remote Management, Provisioning
Connectivity
Display
Examples: Appliances, Vehicles, Machines,
Vending Machines, Aircraft, Drones, Toys,
Wearables, etc. List is endless!
Interfacing to the Sensors/Actuators
Support for the Connectivity
Connects to Multiple Sensors/Actuators
Higher End processors
Off the Shelf / DIY Example: Raspberry Pi,
Beaglebone etc.
Typically runs Linux or an RTOS, Drivers,
Network Stack, Security, Remote
Management, Provisioning
Connects to the Internet using 3G/LTE,
Ethernet, Wi-Fi etc.
Typically “many” things connected to a Gateway/Edge
25. 17
#MovingTheFuture
Gateway - Cloud
Gateway | Edge | Fog
Interfacing to the Sensors/Actuators
Support for the Connectivity
Connects to Multiple Sensors/Actuators
Higher End processors
Off the Shelf / DIY Example: Raspberry Pi,
Beaglebone etc.
Typically runs Linux or an RTOS, Drivers,
Network Stack, Security, Remote
Management, Provisioning
Connects to the Internet using 3G/LTE,
Ethernet, Wi-Fi, Satellite
etc.
Cloud:
Manages and communicates with multiple
gateways and devices/sensors
Data Management
Device & Gateway Management
Enterprise Integration
Billing & Payments
Analytics, Machine Intelligence, Predictive
Maintenance, Reporting, Visualization
etc.
AWS/Azure/GC/Bluemix, Data Center etc.
Typically many gateways to the cloud
Cloud, Data, ML/AI
MQTT
HTTP
WebSockets
DDS, XMPP
Other
26. Complex & Composite Devices
Each Car today (i.e. Non
Autonomous) has 100s may be
1000s of sensors, 40 to 50
Microprocessors, multiple
connectivity (buses) internally. And
many offer 3G/LTE connections to
the Cloud for Service &
Entertainment.
Autonomous cars will have Edge-
capable AI/ML engines
(happening today). And 10x more
sensors.
Fun Fact
High End Luxury cars have MORE
100 millions line of code, more
than a Dreamliner 787
18
29. 19
IoT Use Case: Smart Meters
Devices (Constrained)
Sensors & Actuators
Enterprise
Integration
IoT-Cloud
Complex /
Composite
Devices
Gateways
Edge | Fog
User-facing IoT
Apps
Sensing | Telemetry
Actuation | Control
Partner / Customer
IoT Cloud(s)Multiple connectivity options
Sub GHz Wireless common
2G/3G
Newer LPWANs trying to compete such as
LoRaWAN & SigFox
Many are vendor-specific such as Sensus
Flexnet or SSN StarFish.
TRAFFIC PATTERN:
100s of Bytes, 15 Minutes intervals most
frequent, mostly monthly readings
Unidirectional: Meter to Gateway to Utility
Utilities: Gas, Water,
Electric
Metering Providers:
SSN, Sensus, Itron,
Elster etc.
30. 19
IoT Use Case: Smart Meters
Devices (Constrained)
Sensors & Actuators
Enterprise
Integration
IoT-Cloud
Complex /
Composite
Devices
Gateways
Edge | Fog
User-facing IoT
Apps
Sensing | Telemetry
Actuation | Control
Partner / Customer
IoT Cloud(s)Multiple connectivity options
Sub GHz Wireless common
2G/3G
Newer LPWANs trying to compete such as
LoRaWAN & SigFox
Many are vendor-specific such as Sensus
Flexnet or SSN StarFish.
TRAFFIC PATTERN:
100s of Bytes, 15 Minutes intervals most
frequent, mostly monthly readings
Unidirectional: Meter to Gateway to Utility
Utilities: Gas, Water,
Electric
Metering Providers:
SSN, Sensus, Itron,
Elster etc.
WW Installed Base
(Electric Smart
Meters) by 2020:
~ 850 million 10s may be 100s of
companies dedicated
to providing analytics
for meter data!!!
31. 20
IoT Use Case: Smart Home
Devices (Constrained)
Sensors & Actuators
Enterprise
Integration
IoT-Cloud
Complex /
Composite
Devices
Gateways
Edge | Fog
User-facing IoT
Apps
Sensing | Telemetry
Actuation | Control
Partner / Customer
IoT Cloud(s)
32. 20
IoT Use Case: Smart Home
Devices (Constrained)
Sensors & Actuators
Enterprise
Integration
IoT-Cloud
Complex /
Composite
Devices
Gateways
Edge | Fog
User-facing IoT
Apps
Sensing | Telemetry
Actuation | Control
Partner / Customer
IoT Cloud(s)
33. 20
IoT Use Case: Smart Home
Devices (Constrained)
Sensors & Actuators
Enterprise
Integration
IoT-Cloud
Complex /
Composite
Devices
Gateways
Edge | Fog
User-facing IoT
Apps
Sensing | Telemetry
Actuation | Control
Partner / Customer
IoT Cloud(s)
Nest Thermostat is a Complex Device - it
supports Wi-Fi, ZigBee and has a very
capable processor.
It is a mini Gateway + Sensor
Connectivity: Home Wi-Fi (can function
offline)
Traffic Pattern:
Frequent, in MB
BI DIRECTIONAL
Nest Cam is a complex device.
Sensor is the Camera, Microphone.
It is a mini Gateway + Sensor
Connectivity: Home Wi-Fi (can function
offline)
Traffic Pattern:
24x7 OR on Command
High Bandwidth, Gigabytes if 24x7
Low Bandwidth bidirectional - control and
speaker
Nest Protect - both constrained in some
respects, and complex.
Gas Sensing.
Communicates with the Nest Thermostat
over 802.15.4 / Thread network
Traffic pattern:
Continuous, mostly local. Critical traffic.
developer.nest.com - Fun fact - used to
run on AWS even after the Google
acquisition. Seems to have recently
moved away from AWS.
Nest works with Utilities to
run Energy Management
programs - such as
Demand / Response
“Works with Nest” program - Cloud to
cloud integration with other Smart &
Connected devices/appliances.