Future Clients' Requests Estimation for Dynamic Resource Allocation in Cloud Data Center Using CGPANN
作者： Jawad Ali , Faheem Zafari , Gul Muhammad Khan , S. Ali Mahmud
关键词:
摘要: Cloud computing is an emerging and rapid growing field of Infrastructure as a Service (IaaS), it has to deal with resource allocation power management issues. This paper proposes CGPANN accurately forecast the client's requests for very short term duration 1 second. A forecasting accuracy high 99.81% been attained that verifies proposed model. The experimental results show model outperforms all contemporary models in past.
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