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Dynamics Analysis Model for Energy Efficient Distributed Storage Systems

机译:节能分布式存储系统动力学分析模型

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This paper presents a theoretical and expenmental framework based on dynamics to model and analyze energy efficient distributed storage systems. A dynamics analysis model based on Cellular Automata (CA), called DSSCA, is proposed to evaluate distributed Object-based Storage (OBS) systems. DSSCA can have either finite or infinite size with high scalability. Each node represents an Object-based Device (OSD) and can communicate with the neighbor nodes autonomously and perform tasks independently without a centralized control. Moreover, simple energy efficient rules can be adopted by each node and then global behaviors emerge from the evolution and interaction of multiple individuals. To evaluate the intelligence of the system to changes of external behaviors, we proposed a heuristic power-aware mechanism_ Each node has a write request queue, the length of which changes dynamically with access intensity and node throughput In the simulation, we observe an appropriate threshold could both guarantee performance and save power. Under rapid request arrival the entropy of the length of write request queue is near to zero, resulting in no chance of power conservation.
机译:本文介绍了基于模型和分析节能分布式存储系统的动态的理论和消化框架。提出了一种基于蜂窝自动机(CA)的动态分析模型,称为DSSCA,以评估分布式对象的存储(OBS)系统。 DSSCA可以具有有限或无限尺寸,具有高可扩展性。每个节点代表基于对象的设备(OSD),并且可以自主地与邻居节点通信,并且在没有集中控制的情况下独立地执行任务。此外,每个节点可以采用简单的节能规则,然后从多个人的演变和交互中出现全局行为。为了评估系统的智能到外部行为的变化,我们提出了一个启发式动力感知机制_每个节点具有写入请求队列,其长度随着访问强度和节点吞吐量而动态变化,我们遵守适当的阈值可以保证性能和节省权力。在快速请求到达时,写入请求队列长度的熵靠近零,导致电动节省的机会。

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