抽象的

An Efficient Study of Job Scheduling Algorithms with ACO in Cloud Computing Environment

M.Vijayalakshmi, K.Muthusamy

Cloud Computing is emerging as the next generation platform which would facilitate the user on pay use mode as per requirement in modern distributed computing. It gives a better way of scheduling jobs in restricted conditions. Since the number of cloud users need different kind of virtual machines(VM) as per the requirement and cloud provider provides these services as per the Service Level Agreement(SLA) to ensure QoS. To manage large amount of VM requests, then the cloud providers require an efficient job scheduling algorithm. The objective of the paper is to achieve a practical comparison of various job scheduling algorithms for scheduling virtual machines proposes optimization technique which resolves the issues in the scheduling based algorithm that one of these algorithms is better for scheduling and provisioning with the perspective of cost and security of VMs.

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学术钥匙
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引用因子
宇宙IF
参考搜索
哈姆达大学
世界科学期刊目录
学者指导
国际创新期刊影响因子(IIJIF)
国际组织研究所 (I2OR)
宇宙

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