An Efficient Resource Allocation Algorithm for IaaS Cloud

Infrastructure as a Service (IaaS) cloud provides access to computing resources by forming a virtualized environment. The resources are offered by means of leases. However, it is not possible to satisfy all the leases due to finite capacity of resources (or nodes). Mapping between all the leases and the available nodes referred as resource allocation problem is very challenging to IaaS cloud. In this paper, we propose a resource allocation algorithm for IaaS cloud which is based on a novel approach of alert time. First, it uses alert time to assign the leases and then employs swapping to reschedule the already accommodated leases in case a lease is not schedulable by the alert time. This makes resource allocation superior to support the deadline sensitive leases by minimizing the lease rejection in contrast to two existing algorithms by Haizea [3] and Nathani [2]. We perform extensive experiments on several synthetic data sets and the results show that the proposed algorithm outperforms both the algorithms in terms of accepted leases and rejected leases.