Abstract

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.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.