作者
Seyed Ebrahim Dashti, Amir Masoud Rahmani
发表日期
2016/3/3
期刊
Journal of Experimental & Theoretical Artificial Intelligence
卷号
28
期号
1-2
页码范围
97-112
出版商
Taylor & Francis
简介
Recently, cloud computing is growing fast and helps to realise other high technologies. In this paper, we propose a hieratical architecture to satisfy both providers' and consumers' requirements in these technologies. We design a new service in the PaaS layer for scheduling consumer tasks. In the providers' perspective, incompatibility between specification of physical machine and user requests in cloud leads to problems such as energy-performance trade-off and large power consumption so that profits are decreased. To guarantee Quality of service of users' tasks, and reduce energy efficiency, we proposed to modify Particle Swarm Optimisation to reallocate migrated virtual machines in the overloaded host. We also dynamically consolidate the under-loaded host which provides power saving. Simulation results in CloudSim demonstrated that whatever simulation condition is near to the real environment, our …
引用总数
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学术搜索中的文章
SE Dashti, AM Rahmani - Journal of Experimental & Theoretical Artificial …, 2016