绿色网络存储系统的动力学分析模型

分析和研究了复杂网络存储系统中能耗管理控制的动力学行为规律。通过分析网络存储系统中的磁盘能耗模型,提出一种针对分布式网络存储系统的理想化能耗优化数据布局模型(IEEDP)。在此基础上,结合数据迁移和数据复制技术,提出一种基于二维元胞自动机的绿色网络存储系统模型(GNSSCA)。实验表明,通过节点的局部性调节行为,该系统呈现出复杂的时空演化现象。系统总体副本个数随着负载的增加而出现相应的增加并最终趋于稳定。在负载较低的情况下,节点的访问队列长度嫡出现近似的幂律分布。

Dynamic Analysis Model of Green Network Storage Systems

This paper analyzed and studied the dynamic behavior rules on power management and control in complex network storage systems. An Ideal Energy-Efficient Data Placement model (IEEDP) for distributed storage systems was proposed based on the analysis of the disk power model in network storage systems. On the basis of IEEDP, by combining the techniques of data migration and data replication, a 2-D cellular automata model, named Green Network Storage System model (GNSSCA) was proposed. The simulation results show that some complicated temporal and spatial behaviors evolve from the adjustment of local cells. The overall number of replicas of the system increases as the load becomes heavier, and finally it tends to a stable sate. Moreover, when the load is light, it can be seen that there is an approximate power law distribution of the entropy of request queue length.