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In-Network Computing With Function as a Service at the Edge

descriptionPublicationkeyboard_double_arrow_right Article , Preprint 01 Sep 2022Embargo end date: 01 Jan 2022 Italy Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:Computer, volume 55, pages 65-73 (issn: 0018-9162, eissn: 1558-0814,

Authors: Cicconetti C; Conti M; Passarella A;

doi: 10.1109/mc.2021.3130659 , 10.5281/zenodo.7110198 , 10.5281/zenodo.7110197 , 10.48550/arxiv.2209.02983

arXiv: http://arxiv.org/abs/2209.02983

handle: 20.500.14243/412417

In-Network Computing With Function as a Service at the Edge

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Abstract

Offloading computation from user devices to nodes with processing capabilities at the edge of the network is a major trend in today’s network/service architectures. This work provides a broad view on the options available for supporting stateful function as a service.

Country

Italy

Related Organizations

Keywords

Market research, Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, Load modeling, Data models, Serverless, Computational modeling, Edge computing, Digital twins, Containers, Distributed computing, Computer Science - Networking and Internet Architecture, Cloud computing, Computer architecture, Data centers, Function-as-a- Service, In-network intelligence

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	3
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average