An efficient dynamic resource allocation strategy for VM environment in cloud

Abstract

Cloud computing becomes well liked among cloud users by contribution of various resources. This is on demand as it gives dynamic flexible resource allocation, for reliable service in pay as use manner to cloud service users. Cloud computing is not application oriented and this is a service oriented. In cloud computing, dynamic flexibility in resource allocation propose by virtualization technology. Virtualization technology provides server resources allocation dynamically based on the application request. In this paper, we proposed dynamic resource allocation system which allocated resources to cloud user. We used skewness which measure uneven utilization of multiple resources of each VMs and according skew value load balance across VMs. By minimizing skew value of each VM, we can easily combine different multiple resources and improve resource utilization of server. These proposed algorithms we prevent overload by effective load balancing and future load prediction and achieve optimize performance in terms of server resource utilization with minimum energy consumption.