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Predictive algorithms for scheduling parameter sweep calculations in a cloud environment

Book Contribution - Book Abstract Conference Contribution

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.
Book: 11th International Conference on P2P, Parallel, Grid, Cloud and Internet, Computing (3PGCIC), NOV 05-07, 2016, Soonchunhyang Univ, Soonchunhyang Univ, Asan, SOUTH KOREA
Pages: 789 - 798
Publication year:2017
Keywords:P1 Proceeding
BOF-keylabel:yes
Authors from:Higher Education
Accessibility:Closed