Novel resource allocation algorithm for energy-efficient cloud computing in heterogeneous environment

作者：Lin, Wei-Wei; Tan, Liang; Wang, James Z.

来源：International Journal of Grid and High Performance Computing, 2014, 6(1): 63-76.

DOI：10.4018/ijghpc.2014010104

• Bin packing problem
• Design considerations
• Heterogeneous environments
• Minimizing the number of
• Optimal resource allocation
• Physical machines (PMs)
• Resource allocation algorithms
• Resource allocation problem

Energy efficiency is one of the most important design considerations for a cloud data center. Recent approaches to the energy-efficient resource management for data centers usually model the problem as a bin packing problem with the goal of minimizing the number of physical machines (PMs) employed. However, minimizing the number of PMs may not necessarily minimize the energy consumption in a heterogeneous cloud environment. To address the problem, this paper models the resource allocation problem in a heterogeneous cloud data center as a constraint satisfaction problem (CSP). By solving this constraint satisfaction problem, an optimal resource allocation scheme, which includes a virtual machine provision algorithm and a virtual machine packing algorithm, is designed to minimize the energy consumption in a virtualized heterogeneous cloud data center. Performance studies show that this proposed new scheme outperforms the existing binpacking based approaches in terms of energy consumption in heterogeneous cloud data centers.

• 出版日期2014-1-1
• 单位CLEMSON University; 华南理工大学; 浙江大学; Clemson university