关键词: 数据中心网络, 能耗优化, 拓扑感知, 多维最佳适应, 预测模型, 迁移代价, 拥塞控制

Abstract: A topology-aware energy consumption optimization algorithm is designed for the high energy consumption problem in data center networks. According to the properties of multi-dimensional orthogonality and single-dimensional full mesh in the generalized hypercube, the algorithm optimizes the location of virtual machines in servers and puts forward a multi-dimensional best fit decreasing strategy to utilize multi-dimensional resources fully. With the consideration of resource balance of servers, communication cost of virtual machines and the resource consumption in migration process, the algorithm utilizes resource requirement prediction model and migration cost formula of virtual machines to satisfy the performance and energy consumption requirement of the system and relieve the congestion of links. Finally, the algorithm transforms the energy consumption optimization problem into optimized allocation of virtual machines in servers. The experimental results show that the system energy consumption and congestion are decreasing in the large scale in comparison with the other algorithms.

Key words: data center networks, energy consumption optimization, topology-aware, multi-dimensional best fit decreasing, prediction model, migration cost, congestion control