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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00004187naa a2200505 4500
001oai:research.chalmers.se:edae509b-4679-4926-bb38-83232125575b
003SwePub
008200624s2020 | |||||||||||000 ||eng|
009oai:gup.ub.gu.se/299536
024a https://doi.org/10.1016/j.jss.2020.1107082 DOI
024a https://research.chalmers.se/publication/5175972 URI
024a https://research.chalmers.se/publication/5183392 URI
024a https://gup.ub.gu.se/publication/2995362 URI
040 a (SwePub)cthd (SwePub)gu
041 a engb eng
042 9 SwePub
072 7a art2 swepub-publicationtype
072 7a ref2 swepub-contenttype
100a Scheuner, Joel,d 1991u Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik, datavetenskap (GU),Department of Computer Science and Engineering, Computing Science (GU)4 aut0 (Swepub:gu)xscjoe
2451 0a Function-as-a-Service Performance Evaluation: A Multivocal Literature Review
264 1b Elsevier BV,c 2020
338 a electronic2 rdacarrier
520 a Function-as-a-Service (FaaS) is one form of the serverless cloud computing paradigm and is defined through FaaS platforms (e.g., AWS Lambda) executing event-triggered code snippets (i.e., functions). Many studies that empirically evaluate the performance of such FaaS platforms have started to appear but we are currently lacking a comprehensive understanding of the overall domain. To address this gap, we conducted a multivocal literature review (MLR) covering 112 studies from academic (51) and grey (61) literature. We find that existing work mainly studies the AWS Lambda platform and focuses on micro-benchmarks using simple functions to measure CPU speed and FaaS platform overhead (i.e., container cold starts). Further, we discover a mismatch between academic and industrial sources on tested platform configurations, find that function triggers remain insufficiently studied, and identify HTTP API gateways and cloud storages as the most used external service integrations. Following existing guidelines on experimentation in cloud systems, we discover many flaws threatening the reproducibility of experiments presented in the surveyed studies. We conclude with a discussion of gaps in literature and highlight methodological suggestions that may serve to improve future FaaS performance evaluation studies.
650 7a NATURVETENSKAPx Data- och informationsvetenskapx Programvaruteknik0 (SwePub)102052 hsv//swe
650 7a NATURAL SCIENCESx Computer and Information Sciencesx Software Engineering0 (SwePub)102052 hsv//eng
650 7a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe
650 7a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng
650 7a NATURVETENSKAPx Data- och informationsvetenskap0 (SwePub)1022 hsv//swe
650 7a NATURAL SCIENCESx Computer and Information Sciences0 (SwePub)1022 hsv//eng
653 a Multivocal Literature Review
653 a Cloud Computing
653 a Benchmarking
653 a Serverless
653 a Performance
653 a Function-as-a-Service
653 a Cloud computing Serverless Function-as-a-Service Performance Benchmarking Multivocal literature review
700a Leitner, Philipp,d 1982u Gothenburg University,Göteborgs universitet,Institutionen för data- och informationsteknik, datavetenskap (GU),Department of Computer Science and Engineering, Computing Science (GU)4 aut0 (Swepub:gu)xleiph
710a Göteborgs universitetb Institutionen för data- och informationsteknik, datavetenskap (GU)4 org
773t Journal of Systems and Softwared : Elsevier BVg 170q 170x 0164-1212
856u https://research.chalmers.se/publication/518339/file/518339_Fulltext.pdfx primaryx freey FULLTEXT
856u https://doi.org/10.1016/j.jss.2020.110708
8564 8u https://doi.org/10.1016/j.jss.2020.110708
8564 8u https://research.chalmers.se/publication/517597
8564 8u https://research.chalmers.se/publication/518339
8564 8u https://gup.ub.gu.se/publication/299536

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