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Peer-reviewed Journal Articles, etc >
Multiobjective Level-Wise Scientific Workflow Optimization in IaaS Public Cloud Environment
This item is licensed under:Creative Commons Attribution 4.0 International
| Title: | Multiobjective Level-Wise Scientific Workflow Optimization in IaaS Public Cloud Environment |
| Authors: | Thant, Phyo Thandar Browse this author | | Powell, Courtney Browse this author | | Schlueter, Martin Browse this author | | Munetomo, Masaharu Browse this author →KAKEN DB |
| Issue Date: | 21-Dec-2017 |
| Publisher: | Hindawi Publishing Corporation |
| Journal Title: | Scientific programming |
| Volume: | 2017 |
| Start Page: | 5342727 |
| Publisher DOI: | 10.1155/2017/5342727 |
| Abstract: | 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. |
| Rights: | https://creativecommons.org/licenses/by/4.0/ |
| Type: | article |
| URI: | http://hdl.handle.net/2115/68288 |
| Appears in Collections: | 情報科学院・情報科学研究院 (Graduate School of Information Science and Technology / Faculty of Information Science and Technology) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)
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Submitter: Phyo Thandar Thant
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