Multi-agent based Interconnected clouds for execution of workload with deadline

Cloud computing is well known to provide computing resources on-demand some of these resources that are most prominently used are virtual machines. Using a single cloud can led to various issues. Issues like lack of availability and scalability. This issues can be handled by using multiple cloud vendor platforms instead of one this approach in cloud computing is known as the interconnected cloud. In this paper, an agent-based system is developed to manage workload execution and distribution of workloads with a deadline on a multi cloud environment. The developed system is capable to prioritize and send workload to the multiple cloud environment as well as collect metrics for re-execution of jobs efficiently. Developed Multi-agent system use user-preference to allocate jobs to the cloud environment, user-preference is taken as an input from the user along with jobs. Resource provisioning algorithm taking into account User-Preference has proven to give 100% satisfaction for both deadline and non-deadline based jobs assuming that sufficient virtual machines are registered with developed scheduler