Various challenges are observed in cloud environment, they eventually arise from the fact that this environment is a loosely coupled one. The location of the communicating nodes never remain stationary as the nodes keeping moving from one point to the other with respect to the requirements, hence challenges can be witnessed in the service providing area and in the quality of service thus rendered. Parameters such as the throughput, load, latency and more adversely affect the quality of service of the cloud environment. The above mentioned parameters are related to the load balancing strategies with respect to the user requests. In order to enhance the quality of service of the cloud environment certain load balancing strategies have been discussed in this paper. In this paper, a framework for resource provisioning and load balancing has been proposed and actualized. The proposed framework depends on binary ant colony optimization algorithm to accomplish its ideal execution as far as makespan and cost. A framework for Workflows execution has been proposed to give ideal load to underutilized VMs and advance their use. The results of proposed method show consistent pattern of low cost incurred with small number of VMs and then rises slowly with increased VMs.
Volume 11 | 08-Special Issue
Pages: 2391-2396