Publication
Title
Predictive algorithms for scheduling parameter sweep calculations in a cloud environment
Author
Abstract
This paper investigates various techniques for scheduling parameter sweep calculations cost efficiently in a hybrid cloud environment. The combination of both a private and public cloud environment integrates the advantages of being cost effective and having virtually unlimited scaling capabilities at the same time. To make an accurate estimate for the required resources, multiple prediction techniques are discussed. The estimation can be used to create an efficient scheduler which respects both deadline and cost. These findings have been implemented and tested in a Java based cloud framework which operates on Amazon EC2 and OpenNebula.
Language
English
Source (journal)
ADVANCES ON P2P, PARALLEL, GRID, CLOUD AND INTERNET COMPUTING
Source (book)
11th International Conference on P2P, Parallel, Grid, Cloud and Internet, Computing (3PGCIC), NOV 05-07, 2016, Soonchunhyang Univ, Soonchunhyang Univ, Asan, SOUTH KOREA
Publication
Cham : Springer int publishing ag , 2017
ISBN
978-3-319-49108-0
978-3-319-49109-7
978-3-319-49108-0
DOI
10.1007/978-3-319-49109-7_76
Volume/pages
1 (2017) , p. 789-798
ISI
000402860200076
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
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Research group
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Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
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Creation 13.07.2017
Last edited 04.03.2024
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