Fault Tolerance Policy in Cloud Computing Based on Ant Colony Optimization
Dorigo introduced Ant Colony Optimization in 1990s to solve various optimization problems by analyzing the complex behaviors of social insects Ants. Now days computer researcher and scientists are solving difficult optimization problems by proposing algorithms on ant behavior i.e. Ant Colony Optimization to find shortest paths from source to destination. Ant colonies present highly structured social organizations in distributed manner and studying the ant colonies behavior the difficult optimization and distributed control system problem in real world are solved. In this paper a new algorithm is proposed to analyze and tolerate the fault in cloud computing environment and it also represented when a cloud server is busy and unable to process a task then how to roll back the process and assign the next node by updating checkpoint.