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FIA - Closing Plenary on Cloud Computing

This plenary session by Thierry Priol from INRIA discusses critical research areas in cloud computing. It highlights the need for increased adaptability and resilience in cloud infrastructures to mitigate single points of failure. The talk emphasizes the importance of autonomic systems and novel service architectures aimed at privacy preservation and self-destructing data. Additionally, it explores the evolution from host-centric networking towards information-centric architectures, aiming for a unified management of computational, storage, and network resources to enhance data distribution efficiency and support various digital futures.

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FIA - Closing Plenary on Cloud Computing

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  1. FIA - ClosingPlenary on Cloud Computing Thierry Priol INRIA & EIT ICT Labs

  2. Whatare the researchstreamswehave to address? • Increasingadaptability and resilience to failures of Cloud infrastructure. • Cloud tends to centralizeratherthan to distribute • Single point of failure • Autonomicsystems (self-*) in large-scale infrastructures to copewithfailures, to bring down the maintenance complexity • New models and paradigmsneed to beinvented • Privacy-preserving service architecture for the Future Internet • Today, userslost the ownership of theirdata whenthey are communicated to the « cloud » • Privacy by design • Novelservice-based architectures able to copewithephemeral data as well as self-destructing data.

  3. Cloud Computingwithin EIT ICT Labs • A dedicatedresearch action line « Computing in the Cloud » leads by SeifHaridi (SICS) • Must deliver new technologies for a set of thematic action lines • Digital Cities of the Future, Health and Well-Being, Smart Energy Systems, Smart Spaces, Intelligent Transportation Systems, Future Media and Content Delivery • Integrate Cloud infrastructures with information-centric network architectures. • The host-centric networking paradigm has reached its limit. • Computational, storage and network capacities have to be unified and federated in their management making use of in-network caching, and supporting low latency distribution of data closer to consumers.

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