Multi-objective ACO virtual machine placement in cloud computing environments

摘要: Cloud computing systems provide services to users based on a pay-as-you-go model. The more that data centers deliver users, the those need be prepared. However, consume huge amounts of energy from environment. In order improve data-center efficiency, resource consolidation using virtualization technology is becoming important for reduction environmental impact caused by centers. One keys in mapping virtual machines suitable physical machines, procedure called machine placement. present paper focuses this problem placement and proposes multi-objective optimization approach minimize both power consumption wastage communication cost between network elements within center. An Ant Colony Optimization (ACO) algorithm proposed obtain Pareto set problem. algorithms are tested Cloudsim tools. performances these compared with three well-known single-objective approaches Genetic Algorithm (GA). results demonstrate can seek find solutions exhibit balance different objectives. ACO able And better than GA terms our