Szczegóły publikacji

Opis bibliograficzny

Benchmarking heterogeneous cloud functions / Maciej MALAWSKI, Kamil FIGIELA, Adam GAJEK, Adam Zima // W: Euro-Par 2017 : parallel processing workshops : Euro-Par 2017 international workshops : Santiago de Compostela, Spain, August 28–29, 2017 : revised selected papers / eds. Dora B. Heras, Luc Bougé. — Cham : Springer International Publishing AG, cop. 2018. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; 10659). — ISBN: 978-3-319-75177-1; e-ISBN: 978-3-319-75178-8. — S. 415–426. — Bibliogr. s. 425–426, Abstr. — Publikacja dostępna online od: 2018-02-08

Autorzy (4)

Słowa kluczowe

performance evaluationcloud functionscloud computingFaaS

Dane bibliometryczne

ID BaDAP112657
Data dodania do BaDAP2018-04-05
Tekst źródłowyURL
DOI10.1007/978-3-319-75178-8_34
Rok publikacji2018
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
WydawcaSpringer
KonferencjaIEEE International Conference on Parallel Processing Workshops 2017
Czasopisma/serieLecture Notes in Computer Science, Theoretical Computer Science and General Issues

Abstract

Cloud Functions, often called Function-as-a-Service (FaaS), pioneered by AWS Lambda, are an increasingly popular method of running distributed applications. As in other cloud offerings, cloud functions are heterogeneous, due to different underlying hardware, runtime systems, as well as resource management and billing models. In this paper, we focus on performance evaluation of cloud functions, taking into account heterogeneity aspects. We developed a cloud function benchmarking framework, consisting of one suite based on Serverless Framework, and one based on HyperFlow. We deployed the CPU-intensive benchmarks: Mersenne Twister and Linpack, and evaluated all the major cloud function providers: AWS Lambda, Azure Functions, Google Cloud Functions and IBM OpenWhisk. We make our results available online and continuously updated. We report on the initial results of the performance evaluation and we discuss the discovered insights on the resource allocation policies.

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Performance evaluation of heterogeneous cloud functions / Kamil FIGIELA, Adam GAJEK, Adam Zima, Beata Obrok, Maciej MALAWSKI // Concurrency and Computation : Practice and Experience ; ISSN 1532-0626. — 2018 — vol. 30 iss. 23 spec. iss. art. no. e4792, s. 1–16. — Bibliogr. s. 15–16, Summ. — Publikacja dostępna online od: 2018-08-24. — HCW : the twenty sixth international Heterogeneity in Computing Worhshop : [May 29, 2017 : Orlando] ; HeteroPar : fifteenth international workshop on algorithms, models and tools for parallel omputing on Heterogeneous Platforms : [August 28th, 2017, Santiago d Compostella] ; HPDeepL2017 : High Performance Deep learning techniques for big data analytics
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Management of heterogeneous cloud resources with use of the PPO / Włodzimierz FUNIKA, Paweł Koperek, Jacek KITOWSKI // W: Euro-Par 2020: Parallel Processing Workshops : Euro-Par 2020 international workshops : Warsaw, Poland, August 24–25, 2020 : revised selected papers / eds. Bartosz Baliś, [et al.]. — Cham : Springer Nature Switzerland, cop. 2021. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 12480. Theoretical Computer Science and General Issues ; ISSN 0302-9743). — ISBN: 978-3-030-71592-2; e-ISBN: 978-3-030-71593-9. — S. 148–159. — Bibliogr. s. 158–159, Abstr. — Publikacja dostępna online od: 2021-03-14. — J. Kitowski - dod. afiliacja: ACC CYFRONET AGH