Data-aware scheduling of scientific workflows in hybrid clouds

Amirmohammad Pasdar*, Khaled Almi’ani, Young Choon Lee

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

4 Citations (Scopus)

Abstract

In this paper, we address the scheduling of scientific workflows in hybrid clouds considering data placement and present the Hybrid Scheduling for Hybrid Clouds (HSHC) algorithm. HSHC is a two-phase scheduling algorithm with a genetic algorithm based static phase and dynamic programming based dynamic phase. We evaluate HSHC with both a real-world scientific workflow application and random workflows in terms of makespan and costs.

Original languageEnglish
Title of host publicationComputational Science – ICCS 2018
Subtitle of host publication18th International Conference, Proceedings, Part III
EditorsYong Shi, Haohuan Fu, Yingjie Tian, Valeria V. Krzhizhanovskaya, Michael Harold Lees, Jack Dongarra, Peter M. Sloot
Place of PublicationCham
PublisherSpringer-VDI-Verlag GmbH & Co. KG
Pages708-714
Number of pages7
ISBN (Electronic)9783319937137
ISBN (Print)9783319937120
DOIs
Publication statusPublished - 2018
Event18th International Conference on Computational Science, ICCS 2018 - Wuxi, China
Duration: 11 Jun 201813 Jun 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10862 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Computational Science, ICCS 2018
CountryChina
CityWuxi
Period11/06/1813/06/18

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