HomeTechnologyArtificial IntelligenceCEA-Leti Middleware will be core of Fog Platform for decentralized Cloud-to-Edge AI

    CEA-Leti Middleware will be core of Fog Platform for decentralized Cloud-to-Edge AI

    Leti, a research institute at CEA-Tech, announced that its sensiNact Internet of Things (IoT) middleware will be the core of a platform under development in an EU-Korean project that will empower emerging artificial intelligence (AI) applications with on-demand computing at the edge of networks.

    Decentralization from the cloud to the edge is a key challenge of AI technologies applied to large heterogeneous systems, including ensuring timely and effective responses that are critical (e.g. braking). The joint project, called DECENTER, will integrate a broad spectrum of technologies, such as the IoT, AI, the cloud, edge, fog computing and smart contracts tied together with a secure blockchain.

    It will focus on developing a platform that facilitates creation of a new ecosystem in which computing and IoT resources (processing, memory, storage, connectivity, sensing, actuating, etc.) can be harmoniously orchestrated in dynamically created multi-cloud, federated environments. In this advanced fog computing platform, all providers can share resources and be rewarded through the automatic execution of smart contracts logged and monitored via blockchain-based technologies.

    The ultimate goal is advanced cloud platforms that empower emerging AI applications with on-demand computing at the edge of the infrastructure. While processing that requires more computing and storage resources will still be done in the cloud, timely and effective computing at the edge that supports AI can improve the safety of citizens in pedestrian crossings, workers and assets in logistic and construction areas and children and parents at home.

    In addition, sensiNact:

    • Supports state-of-the-art IoT protocols (ZigBee, CoAP, EnOcean, LoRa, Sigfox, MQTT, XMPP, etc.)
    • Provides access on-demand, periodically or event-based to real-time data for online analysis
    • Provides access to historical data for offline analysis
    • Enables use of any protocol to remotely access unified data and action sources (HTTP REST APIs, WebSockets, MQTT, XMPP, etc.)
    • Enables rapid creation of new bridges to emerging protocols and dynamically integrates them to the running platform
    • Creates, with sensiNact Studio, automation applications exploiting the data and action sources, deploys them to the platform and manages their lifecycles.

    “sensiNact’s standard service-oriented approach provides loose coupling between the physical and the virtual worlds, which brings the necessary flexibility to deal with the dynamic and heterogeneous real world,” said Levent Gurgen, CEA-Leti’s Senior Expert in IoT. “DECENTER’s federated fog platform based on sensiNact will address the need to timely process the ever-increasing amount of data continuously gathered from the myriad of heterogeneous IoT sensors and appliances. It will be demonstrated in various scenarios during this three-year project, such as smart homes, smart cities, smart construction sites and robotics.”

     

    ELE Times Research Desk
    ELE Times Research Deskhttps://www.eletimes.ai
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