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HTSFR: Hierarchical Tabu Search with Fuzzy Reasoning for Optimal Resource Scheduling in Cloud Computing Environment

The concept of virtual machines is critical to manage the scalable utilization of the resources in cloud computing. Hence the scheduling and balancing the assigned job loads to virtual machines is essential and exclusive need of the cloud computing environment, which is a critical research objective since, improving the service provision in cloud computing is not only through scheduling the individual resources to the target jobs, also the scheduling the virtual machines and balancing the load at virtual machines. In the context of this argument, a method called, Hierarchical Tabu Search with Fuzzy Reasoning (HTSFR) is proposed to escalate the optimality of resource scheduling and load balancing that deals the virtual machines as resources. The performance analysis was done on simulated environment established by using Cloud SIM. The results obtained from proposal were compared to other contemporary models, which evinced the significant performance advantage of the proposal on other contemporary models compared.