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Multiobjective Level-Wise Scientific Workflow Optimization in IaaS Public Cloud Environment
Joint Authors
Thant, Phyo Thandar
Powell, Courtney
Schlueter, Martin
Munetomo, Masaharu
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-17, 17 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-12-21
Country of Publication
Egypt
No. of Pages
17
Main Subjects
Abstract EN
Cloud computing in the field of scientific applications such as scientific big data processing and big data analytics has become popular because of its service oriented model that provides a pool of abstracted, virtualized, dynamically scalable computing resources and services on demand over the Internet.
However, resource selection to make the right choice of instances for a certain application of interest is a challenging problem for researchers.
In addition, providing services with optimal performance at the lowest financial resource deployment cost based on users’ resource selection is quite challenging for cloud service providers.
Consequently, it is necessary to develop an optimization system that can provide benefits to both users and service providers.
In this paper, we conduct scientific workflow optimization on three perspectives: makespan minimization, virtual machine deployment cost minimization, and virtual machine failure minimization in the cloud infrastructure in a level-wise manner.
Further, balanced task assignment to the virtual machine instances at each level of the workflow is also considered.
Finally, system efficiency verification is conducted through evaluation of the results with different multiobjective optimization algorithms such as SPEA2 and NSGA-II.
American Psychological Association (APA)
Thant, Phyo Thandar& Powell, Courtney& Schlueter, Martin& Munetomo, Masaharu. 2017. Multiobjective Level-Wise Scientific Workflow Optimization in IaaS Public Cloud Environment. Scientific Programming،Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1203437
Modern Language Association (MLA)
Thant, Phyo Thandar…[et al.]. Multiobjective Level-Wise Scientific Workflow Optimization in IaaS Public Cloud Environment. Scientific Programming No. 2017 (2017), pp.1-17.
https://search.emarefa.net/detail/BIM-1203437
American Medical Association (AMA)
Thant, Phyo Thandar& Powell, Courtney& Schlueter, Martin& Munetomo, Masaharu. Multiobjective Level-Wise Scientific Workflow Optimization in IaaS Public Cloud Environment. Scientific Programming. 2017. Vol. 2017, no. 2017, pp.1-17.
https://search.emarefa.net/detail/BIM-1203437
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1203437