Scheduling divisible jobs to optimize the computation and energy costs

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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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Bibliographic Details
Main Authors:	Abdullah, Monir, Othman, Mohamed
Format:	Article
Language:	English
Published:	International Journal of Engineering and Science Invention 2015
Online Access:	http://psasir.upm.edu.my/id/eprint/46221/ http://psasir.upm.edu.my/id/eprint/46221/1/Scheduling%20divisible%20jobs%20to%20optimize%20the%20computation%20and%20energy%20costs.pdf

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