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Research Article Open Access
Problem Statement: Cloud Computing is the fast growing technology, which shares the resource to achieve consistency and economies of scale similar to a utility over a network. Resource sharing requires more optimized algorithm. Approach: In traditional many static algorithms are proposed, but all these algorithms do not produce optimal job scheduling and load balancing. In order to reduce the waiting time and execution time, the hybrid AB algorithm is proposed. The hybrid AB algorithm is a combination of two dynamic algorithms, Ant Colony Optimization and Bees Life algorithm. Results: Ant Colony algorithm solves load balancing problem in cloud and Bees Life algorithm is used for optimal job scheduling. Conclusion: The result of the proposed study shows that the hybrid AB algorithm will effectively balances the load than other existing systems.
Cloud Computing, Load Balancing, Ant Colony Optimization, Bees Life algorithm, Scientific Computing