Szczegóły publikacji

Opis bibliograficzny

Adaptive multi-level workflow scheduling with uncertain task estimates / Tomasz Dziok, Kamil FIGIELA, Maciej MALAWSKI // W: Parallel Processing and Applied Mathematics : 11th international conference, PPAM 2015 : Krakow, Poland, September 6–9, 2015 : revised selected papers, Pt. 2 / eds. Roman Wyrzykowski, [et al.]. — Swizerland : Springer International Publishing, cop. 2016. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; 9574). — ISBN: 978-3-319-32151-6; e-ISBN: 978-3-319-32152-3. — S. 90–100. — Bibliogr. s. 99–100, Abstr.

Autorzy (3)

Słowa kluczowe

workflowcloudschedulingadaptive algorithmoptimization

Dane bibliometryczne

ID BaDAP97579
Data dodania do BaDAP2016-05-13
DOI10.1007/978-3-319-32152-3_9
Rok publikacji2016
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
KonferencjaInternational Conference on Parallel Processing and Applied Mathematics 2015
Czasopisma/serieLecture Notes in Computer Science, Theoretical Computer Science and General Issues

Abstract

Scheduling of scientific workflows in IaaS clouds with pay- per-use pricing model and multiple types of virtual machines is an important challenge. Most static scheduling algorithms assume that the estimates of task runtimes are known in advance, while in reality the actual runtime may vary. To address this problem, we propose an adap- tive scheduling algorithm for deadline constrained workflows consisting of multiple levels. The algorithm produces a global approximate plan for the whole workflow in a first phase, and a local detailed schedule for the current level of the workflow. By applying this procedure iteratively after each level completes, the algorithm is able to adjust to the run- time variation. For each phase we propose optimization models that are solved using Mixed Integer Programming (MIP) method. The prelimi- nary simulation results using data from Amazon infrastructure, and both synthetic and Montage workflows, show that the adaptive approach has advantages over a static one.

Publikacje, które mogą Cię zainteresować

fragment książki
#92622Data dodania: 25.9.2015
Adaptive multi-level workflow scheduling with uncertain task estimates / Tomasz Dziok, Kamil FIGIELA, Maciej MALWSKI // W: PPAM 2015 : 11th international conference on Parallel Processing & Applied Mathematics : Krakow, September 6–9, 2015 : book of abstracts. — [Poland : s. n.], [2015]. — S. 41
fragment książki
#129056Data dodania: 24.6.2020
Adaptation of workflow application scheduling algorithm to serverless infrastructure / Maciej PAWLIK, Paweł Banach, Maciej MALAWSKI // W: Euro-Par 2019: parallel processing workshops : Euro-Par 2019 international workshops : Göttingen, Germany, August 26–30, 2019 : revised selected papers / eds. Ulrich Schwardmann, [et al.]. — Cham : Springer Nature Switzerland AG, cop. 2020. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 11997. Theoretical Computer Science and General Issues ; ISSN 0302-9743). — ISBN: 978-3-030-48339-5; e-ISBN: 978-3-030-48340-1. — S. 345–356. — Bibliogr. s. 355–356, Abstr. — Publikacja dostępna online od: 2020-05-29