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Conference papers

Edgelet Computing: Pushing Query Processing and Liability at the Extreme Edge of the Network

Ludovic Javet 1, 2 Nicolas Anciaux 1, 2 Luc Bouganim 1, 2 Philippe Pucheral 1, 2
1 PETRUS - Personal Trusted cloud
DAVID - Données et algorithmes pour une ville intelligente et durable - DAVID, Inria Saclay - Ile de France
Abstract : We call edgelet computing the current convergence between Opportunistic Network (OppNet) and Trusted Execution Environment (TEE) at the very edge of the network. We believe that this convergence bears the seeds of a novel and important class of applications leveraging fully decentralized and highly secure computations among data scattered on multiple personal devices. This paper introduces the Edgelet computing paradigm, defines properties that guarantee the safety, liveness and security of executions in this unusual context and proposes alternative strategies satisfying these properties. Preliminary performance evaluations and an ongoing real-case study highlights the practicality of the approach. Finally, the paper draws future research challenges for the database and distributed system community.
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https://hal.inria.fr/hal-03666895
Contributor : Ludovic Javet Connect in order to contact the contributor
Submitted on : Thursday, May 12, 2022 - 7:04:55 PM
Last modification on : Saturday, May 14, 2022 - 3:40:25 AM

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CCGrig22_CR_V4c.pdf
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  • HAL Id : hal-03666895, version 1

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Ludovic Javet, Nicolas Anciaux, Luc Bouganim, Philippe Pucheral. Edgelet Computing: Pushing Query Processing and Liability at the Extreme Edge of the Network. CCGrid 2022, May 2022, Taormina, Italy. ⟨hal-03666895⟩

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