An Iterative Budget Algorithm for Dynamic Virtual Machine Consolidation Under Cloud Computing Environment
Abstract
An Iterative Budget Algorithm for Dynamic Virtual Machine Consolidation under cloud computing environment technology to enable the flexible use of a significant amount of distributed computing services on a pay-as-you-go basis. As service demand continues to rise to a global scale, efficient virtual machine consolidation is becoming more and more imperative. Existing heuristic algorithms aimed mainly at minimizing either service level violations or cloud energy consumption. However, the overhead communication between various virtual machines and virtual machine consolidation decision time is rarely considered. Experiments show that the proposed algorithm provides a substantial improvement over other typical heuristics and metaheuristic algorithms in reducing energy consumption, the number of virtual machines migrated, overall communication overhead, as well as the decision time.
System Configuration
Platform : cloud computing
Conclusion
This An Iterative Budget Algorithm for Dynamic Virtual Machine Consolidation under cloud computing environment paper presented a new iterative budget algorithm to solve the problem of VM consolidation. This paper’s main contributions are as follows. The overall cost of migration, overhead communication and energy consumption are analyzed in detail and modeled with consideration of bandwidth sharing and four resource limit dimensions. This paper presented an iterative VM consolidation budget algorithm on a large scale. We have established a reverse selection mechanism for randomly selected targets to find suitable migrants with the use of a vectordot-based out-migration and in-migration budget.
