Special Issue Article Open Access

Avoiding Overload Using Virtual Machine in Cloud Data Centre

Abstract

Cloud data centre’s improve CPU utilization of their servers (physical machines or PMs) through Virtualization (virtual machines or VMs). Over virtualized and under virtualized PMs suffer performance degradation and power dissipation respectively. In this paper, system that uses virtualization technology to allocate data center resources dynamically based on application demands and support green computing by optimizing the number of servers in use. Thus minimizes the hardware cost and saves the energy and used when a system under a heavy load thus improves the system performance. The concept of “skewness” is introduced to measure the unevenness in the multidimensional resource utilization of a server. By minimizing skewness, we can combine different types of workloads nicely and improve the overall utilization of server resources. Finally minimizes the overload in a server by mitigate the process from high load (i.e. hot spot) server into normal load server (i.e. warm state) with the help of mitigation list. Physical Machine does not allow using a server in case of overload. Thus avoid the failure of server under high load.

Ms.S.Indumathi, Mr. P. Ranjithkumar

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