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Efficiently Detecting Performance Changes in FaaS Application Releases

Year: 2023

Type: conference-paper

Abstract: The source code of Function as a Service (FaaS) applications is constantly being refined. To detect if a source code change introduces a significant performance regression, the traditional benchmarking approach evaluates both the old and new function version separately using numerous artificial requests.

DOI: 10.1145/3631295.3631395

Authors: Martin Grambow, Tim Dockenfuß, Trever Schirmer, Nils Japke, David Bermbach

Institutions: Einstein Center Digital Future, Technische Universität Berlin

Language: English

Topic: Software System Performance and Reliability

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4388553864

FWCI: 0.608

Cites: 20

Cited by: 2

Related to: 10