Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/27005
Title: Evaluating WebAssembly for Orchestrated Deployment of Serverless Functions
Authors: Kjorveziroski, Vojdan 
Filiposka, Sonja 
Mishev, Anastas 
Keywords: WebAssembly
Serverless Computing
Function as a Service
Cloud Computing
Edge Computing
Internet of Things
Issue Date: Dec-2022
Publisher: IEEE
Source: V. Kjorveziroski, S. Filiposka and A. Mishev, "Evaluating WebAssembly for Orchestrated Deployment of Serverless Functions," 2022 30th Telecommunications Forum (TELFOR), Belgrade, Serbia, 2022, pp. 1-4, doi: 10.1109/TELFOR56187.2022.9983733.
Project: NSA
Conference: 2022 30th Telecommunications Forum (TELFOR)
Abstract: Serverless computing has made a significant impact in the cloud computing landscape, and has even been extended beyond the cloud, up to the edge of the network. Existing serverless platforms which use containers and micro virtual machines as function runtimes incur a significant startup latency, hindering the performance and scalability of the executed functions. One potential solution to this problem is the use of WebAssembly. In this paper we discuss recent developments which allow WebAssembly to be used for serverside applications, as well as serverless functions, and evaluate potential orchestration options with the end goal of integrating WebAssembly with existing cloud and edge infrastructure. We conclude that while WebAssembly is a solution to the cold start problem, further work is needed in this area. To realize the endgoal of seamless and user-friendly serverless platforms that can be deployed across the edge-cloud continuum and can dynamically adapt to compute and latency requirements, WebAssembly should not be seen as the exclusive technology, and instead multiple runtime environments should be supported in addition to WebAssembly.
Description: © 20XX IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
URI: http://hdl.handle.net/20.500.12188/27005
DOI: 10.1109/TELFOR56187.2022.9983733
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers

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