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...

Full description

Saved in:
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/46221/1/Scheduling%20divisible%20jobs%20to%20optimize%20the%20computation%20and%20energy%20costs.pdf
http://psasir.upm.edu.my/id/eprint/46221/
http://www.ijesi.org
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Universiti Putra Malaysia
Language: English