Abstract/Summary

Cloud Computing offers various remotely accessible services to users either free or on payment. A major issue with Cloud Service Providers (CSP) is to maintain Quality of Service (QoS). The QoS encompasses different parame-ters, like, smart job allocation strategy, efficient load balancing, response time optimization, reduction in wastage of bandwidth, accountability of the overall system, best Virtual Machine (VM) (which reduce the overall execu-tion time of the requested Cloudlets) selection etc. The Datacenter Broker (DCB) policy helps binding a Cloudlet with a VM. An efficient DCB policy reduces the overall execution time of a Cloudlet. Allocating cloudlets properly to the appropriate VMs in a Datacenter makes a system active, alive and balanced. In present study, we proposed a conductance algorithm for effective allocation of Cloudlets to the VMs in a Datacenter by taking into consideration of power and capacity of VMs, and length of Cloudlets. Experimental results obtained using CloudSim toolkit under heavy loads, establishes performance supremacy of our proposed algorithm over existing DCB algorithm.