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WebAssembly at the Edge: Benchmarking a Serverless Platform for Private Edge Cloud Systems

Benchmarking a Serverless Platform for Private Edge Cloud Systems
Authors: Giuseppe De Palma; Saverio Giallorenzo; Jacopo Mauro; Matteo Trentin; Gianluigi Zavattaro;

WebAssembly at the Edge: Benchmarking a Serverless Platform for Private Edge Cloud Systems

Abstract

FunLess is a Function-as-a-Service (FaaS) platform tailored for private edge cloud systems. FunLess leverages WebAssembly as its runtime environment for performance, function isolation, and support for heterogeneous devices, crucial for extending the coverage of serverless computing to private edge cloud systems. We benchmark FunLess against three production-ready, widely adopted open-source FaaS platforms-OpenFaaS, Fission, and Knative-under different deployment scenarios, characterised by the presence/absence of constrained-resource devices (Raspberry Pi 3B+) and the (in)accessibility of container orchestration technologies-Kubernetes. Our results confirm that FunLess is a suitable solution for FaaS private edge cloud systems since it achieves performance comparable to the considered FaaS alternatives while it is the only fully-deployable alternative on constrained-resource devices.

Keywords

WebAssembly, Private Edge Cloud Systems, [INFO.INFO-DC] Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC], Serverless computing, Function-as-a-Service platforms, Private Edge Cloud Systems Serverless computing Function-as-a-Service platforms WebAssembly

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green
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