Algorithm to improve job scheduling problem in cloud computing environment
Publish Year: 1394
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
KBEI02_084
تاریخ نمایه سازی: 5 بهمن 1395
Abstract:
Increasing development of cloud computing has enabled service providers to efficiently present their services in cloud platform; however, they still must face a prominent issue which is providing favorable quality of service parameters. The main challenge is distributing request in such a way that resources and memory are optimally utilized while QoS requirements such as make-span are minimized. Recent research works on cloud computing have mostly considered one criterion. In this paper a multi-objective scheduling scheme is investigated and a static method for distributing different requests in cloud platform is proposed. Exploiting particle swarm optimization, the proposed method reduces make-span in addition to decreasing used memory. Simulation results revealed that the proposed method significantly reduces make-span and memory usage in comparison to its counterparts.
Keywords:
Processing in cloud environment , scheduling , Particle swarm optimization , Computational complexity , Cloudsim
Authors
Shahab Tareghian
Department of Computer Engineering Garmsar Branch, Islamic Azad University Garmsar, Iran
Zarrintaj Bornaee
Department of Computer Engineering Garmsar Branch, Islamic Azad University Garmsar, Iran