Cost effective Expa-Max-Min scientific workflow allocation and load balancing strategy in cloud computing

Cost effective Expa-Max-Min scientific workflow allocation and load balancing strategy in cloud computing

The rise in demand for cloud resources (network, hardware and software) requires cost effective scientific workflow scheduling algorithm to reduce cost and balance load of all jobs evenly for a better system throughput. Getting multiple scientific workflows scheduled with a reduced makespan and cost...

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Bibliographic Details
Main Authors: Konjaang, James Kok, Ayob, Fahrul Hakim, Muhammed, Abdullah
Format: Article
Language:English
Published: Science Publications 2018
Online Access:http://psasir.upm.edu.my/id/eprint/72134/
http://psasir.upm.edu.my/id/eprint/72134/1/Cost%20effective%20Expa-Max-Min%20scientific%20workflow%20allocation%20and%20load%20balancing%20strategy%20in%20cloud%20computing.pdf

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