Document - EDGELESS Project: on the road to serverless edge AI

2023

Conference article Open Access

EDGELESS Project: on the road to serverless edge AI

Cicconetti C., Carlini E., Paradell A.

Serverless computing Edge computing Internet of Things Resource- constrained devices

The EDGELESS project is set to efficiently operate serverless computing in extremely diverse computing environments, from resource-constrained edge devices to highly-virtualized cloud platforms. Automatic deployment and reconfiguration will leverage AI/ML techniques, resulting in a flexible horizontally-scalable computation solution able to fully use heterogeneous edge resources while preserving vertical integration with the cloud and the benefits of serverless and its companion programming model, i.e., Function-as-a-Service (FaaS). The system under design will be environmentally sustainable, as it will dynamically concentrate resources physically (e.g., by temporarily switching off far-edge devices) or logically (e.g., by dispatching tasks towards a specific set of nodes) at the expense of performance-tolerant applications.

Source: FRAME '23 - 3rd Workshop on Flexible Resource and Application Management on the EdgeAugust 2023 - colocated with HPDC '23 - 32nd International Symposium on High-Performance Parallel and Distributed Computing, pp. 41–43, Orlando, Florida, USA, 20/06/2023

Publisher: ACM Press, New York, USA

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@inproceedings{oai:it.cnr:prodotti:487615,
	title = {EDGELESS Project: on the road to serverless edge AI},
	author = {Cicconetti C. and Carlini E. and Paradell A.},
	publisher = {ACM Press, New York, USA},
	doi = {10.1145/3589010.3594890},
	booktitle = {FRAME '23 - 3rd Workshop on Flexible Resource and Application Management on the EdgeAugust 2023 - colocated with HPDC '23 - 32nd International Symposium on High-Performance Parallel and Distributed Computing, pp. 41–43, Orlando, Florida, USA, 20/06/2023},
	year = {2023}
}