Reliability Maximization of Grid Transaction Processing System using Cuckoo Search-Ant Colony Optimization

This paper discusses the task allocation problem in the grid transaction processing system. The task allocation solution is known to be NP-hard. In order to solve this problem, this paper presents task allocation based on cuckoo search-ant colony optimization (LBTA_CSACO) method. The proposed LBTA_CSACO algorithm is based on the cooperative behavior of cuckoo search and ant colony optimization to find a collection of task allocation solutions. The motivation of this work is to maximize the reliability of the system. Six existing algorithms are taken for comparison of results; Social Spider Optimization (SSO), Honey Bee Optimization (HBO), Ant Colony Optimization (ACO), Hierarchical Load Balanced Algorithm (HLBA), Dynamic and Decentralized Load Balancing (DLB), and Randomized respectively.