Comparison of Task Scheduling in Cloud Computing Using various Optimization Algorithms
Cloud computing has skyrocketed recently and has become a commercial reality Information technology. These days Cloud Computing provides these services on demand, on pay as you go model. The cost of cloud computing is influenced by the cloud vendors. Tasks must be planned efficiently that the cost and the time of execution can be reduced. In this paper, the comparison of Genetic Algorithm and Ant Colony Optimization Algorithm is been proposed based on Task Scheduling.
Author's Name: Sameer Nagpal, Neeraj Dahiya and Dr. Surjeet Dalal