Eclipse IoT Summit 2016: In The Age of IoT Think Data-Centric
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The document discusses the advantages and challenges of data-centric approaches in the context of IoT systems, highlighting the importance of managing data as a contract and improving system coherency. It emphasizes the need for applications to autonomously read and write data, potentially through decentralized communication methods such as DDS, which allows for dynamic discovery and adaptability. Use cases like smart factories and smart cities illustrate the practical implications of data-centricity in handling large volumes of data and ensuring timely delivery.
Eclipse IoT Summit 2016: In The Age of IoT Think Data-Centric
- 1. In the Age of IoT Think Data-Centric Toby McClean Chief Solutions Architect toby@prismtech.com
- 2. CopyrightPrismTech,2015 Message-Centrixity is Natural… …but can lead to misinterpretation
- 3. CopyrightPrismTech,2015 The overall system may be more complex to build: message is an information container, with a header and some payload; applications get fragmented pieces of information; applications need to rebuild the overall state of the system; applications have to deal with coherency Complexity in Messaging
- 4. CopyrightPrismTech,2015 Can be complex, time consuming and error prone Decrease your productivity and delivery velocity Increase time to market Increase development, maintenance and evolution cost Impact on System Development
- 6. CopyrightPrismTech,2015 Model physical and logical entities as they are with their unique identity; state; structure; and lifecycle. Each is explicit and managed by the platform Data-Centricity
- 7. CopyrightPrismTech,2015 Data is the contract Create views and queries on data Capture relationships in the data Decoupled architecture (in Space and Time) Transactional communications Benefits of Data-Centricity
- 9. CopyrightPrismTech,2015 Move data to where it needs to be when it needs to be there In charge of maintaining the state of the overall system even in case of failure, so that the latest consistent state of the system will always be known and will always be available (even for late joining applications) A Data-Centric Pub/Sub Platform
- 10. Applications can autonomously and asynchronously read and write data enjoying spatial and temporal decoupling DDS Global Data Space ... Data Writer Data Writer Data Writer Data Reader Data Reader Data Reader Data Reader Data Writer TopicA QoS TopicB QoS TopicC QoS TopicD QoS Virtualized Data Space
- 11. Built-in dynamic discovery isolates applications from network topology and connectivity details DDS Global Data Space ... Data Writer Data Writer Data Writer Data Reader Data Reader Data Reader Data Reader Data Writer TopicA QoS TopicB QoS TopicC QoS TopicD QoS Dynamic Discovery
- 12. QoS policies allow to express temporal and availability constraints for data DDS Global Data Space ... Data Writer Data Writer Data Writer Data Reader Data Reader Data Reader Data Reader Data Writer TopicA QoS TopicB QoS TopicC QoS TopicD QoS QoS - Enabled
- 13. No single point of failure or bottleneck DecentraliZed Data Space Data Writer Data Writer Data Writer Data Reader Data Reader Data Reader Data Writer TopicA QoS TopicB QoS TopicC QoS TopicD QoS TopicD QoS TopicD QoS TopicA QoS
- 14. Connectivity is dynamically adapted to chose the most effective way of sharing data Adaptive Connectivity Data Writer Data Writer Data Writer Data Reader Data Reader Data Reader Data Writer TopicA QoS TopicB QoS TopicC QoS TopicD QoS TopicD QoS TopicD QoS TopicA QoS The communication between the DataWriter and matching DataReaders can be peer-to- peer exploiting UDP/IP (Unicast and Multicast)or TCP/IP The communication between the DataWriter and matching DataReaders can be “brokered” but still exploiting UDP/IP (Unicast and Multicast)or TCP/IP
- 15. USE CASES
- 16. This slides have been crafted by Angelo Corsaro Any use of these slides that does include me as Author/Co-Author is plagiaryFog Computing
- 17. This slides have been crafted by Angelo Corsaro Any use of these slides that does include me as Author/Co-Author is plagiary Smart Factory 0.5 TB of data produced per day
- 18. CopyrightPrismTech,2015 Smart City data centric platform for the City Operating System Tens of thousands of devices connected by Vortex
- 19. Smart Green houses virtualize sensor data and to distribute actions and insights
- 20. CopyrightPrismTech,2014 Smart-Grid 20ms deadline for phase alignment data
- 21. Smart Lightbulbs 96Kbytes Memory Connected Medical Devices 12 msec period for pleath data Peer-to-Peer connectivity
- 22. CopyrightPrismTech,2015 Messaging works well for telemetry and events Data-centricity can also be used for telemetry and events Data-centricity is natural for virtualizing devices Data-centricity works well for managing state Summary