GENETIC ALGORITHM FOR ENERGY EFFICIENT PLACEMENT OF VIRTUAL MACHINES IN CLOUD ENVIRONMENT

摘要：

We propose an optimization model based on total migration cost, down time and operational cost in any dynamic cloud environment This model can be applied to pack the virtual machines tightly on to the minimum number of physical nodes. We used genetic algorithm to solve the optimization problem as the packing problem is NP-hard. We also propose load balancer framework making use of the genetic algorithm proposed. We found out in our experimental results that our model outperforms existing models in terms of minimizing the number of active nodes, reduction in energy consumption and improving pool utilization.

作者: K. Thirupathi Rao L.S.S.Reddy P. Sai Kiran V. Krishna Reddy B. Thirumala Rao

作者单位: Department of Computer Science & Engineering Lakireddy Bali Reddy College of Engineering, India Lakireddy Bali Reddy College of Engineering, India

会议类型: 国际会议

会议名称: 2010 International Conference on Future Information Technology(2010年未来信息技术国际会议 ICFIT 2010)

会议地点: 长沙

会议语种:英文

页码: 908-913

在线出版日期: 2010-12-14（万方平台首次上网日期，不代表论文的发表时间）