Task scheduling algorithms for multi-cloud systems: allocation-aware approach
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Published:2017-02-25
Issue:2
Volume:21
Page:241-259
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ISSN:1387-3326
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Container-title:Information Systems Frontiers
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language:en
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Short-container-title:Inf Syst Front
Author:
Panda Sanjaya K.,Gupta Indrajeet,Jana Prasanta K.
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Information Systems,Theoretical Computer Science,Software
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. Accessed on 9th May 2015. 3. Braun, T.D., Siegel, H.J., Beck, N., Boloni, L.L., Maheswaran, M., Reuther, A.I., Robertson, J.P., Theys, M.D., Yao, B., Hensgen, D., & Freund, R.F. (2001). A Comparison of Eleven Static Heuristics for Mapping a Class of Independent Tasks onto Heterogeneous Distributed Computing Systems. Journal of Parallel and Distributed computing, 61(6), 810–837. 4. Chhetri, M.B., Chichin, S., Vo, Q.B., & Kowalczyk, R. (2016). Smart CloudBench - A Framework for Evaluating Cloud Infrastructure Performance. Information Systems Frontiers, Springer, 18(3), 413–428. 5. Chunlin, L., & LaYuan, L. (2015). Optimal Scheduling Across Public and Private Clouds in Complex Hybrid Cloud Environment, Information Systems Frontiers, Springer, pp. 1–12.
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