Survey on Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment

Abstract: The emergence of cloud computing infrastructures brings new ways to build and manage computing system with the flexibility offer by virtualization technologies. In this context, this focuses on two principal objective First leveraging virtualization and cloud computing infrastructures to build distributed large scale computing platforms from multiple cloud providers allowed to run software requiring large amounts of computation power. Secondly developing mechanisms to make these infrastructures more dynamic. This mechanism provides inter cloud live migration offing new ways to exploit the inherent dynamic nature of distributed clouds. Cloud computing allows business customers to scale up and down their resource usage based on needs. Many of the gains in the cloud model come from resource multiplexing through virtualization technology. In this paper we proposed 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. We introduce the concept of “skewness” to measure the unevenness in the multi-dimensional resource utilization of a server. By minimizing skewness, we can add different types of workloads nicely and improve the overall utilization of server resource. We present a set of heuristics that prevent overload in the system effectively while saved energy used. Trace driven simulation and experimental results demonstrate that our algorithm achieves good performance.