Scheduling divisible jobs to optimize the computation and energy costs
The important challenge in cloud computing environment is to design a scheduling strategy to handle jobs, and to process them in a heterogeneous environment with shared data centers. In this paper, we attempt to investigate a new analytical framework model that enables an existing private cloud data...
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Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
International Journal of Engineering and Science Invention
2015
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Online Access: | http://psasir.upm.edu.my/id/eprint/46221/1/Scheduling%20divisible%20jobs%20to%20optimize%20the%20computation%20and%20energy%20costs.pdf http://psasir.upm.edu.my/id/eprint/46221/ http://www.ijesi.org |
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Institution: | Universiti Putra Malaysia |
Language: | English |
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