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Autonomous Decentralized Mechanisms for Generating Global Order in Large-Scale System: Using Metropolis-Hastings Algorithm and Applying to Virtual Machine Placement

机译:大型系统中生成全局订单的自主分散机制:使用Metropolis-Hastings算法并应用于虚拟机放置

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Since an autonomous decentralized mechanism needs not gather state information for all subsystems, it would have high feasibility for large-scale systems. One of the challenges for leading a property of a large-scale system in desirable direction (i.e., generating global order) by using an autonomous decentralized mechanism is to connect global behavior in a large- scale system and an autonomous action rule of each subsystem. In this paper, based on a statistical mechanics methodology (i.e., Metropolis- Hastings algorithm), we propose a framework of autonomous decentralized mechanisms for generating global order in a system despite each node behaving autonomously. Then, in this paper, we apply the proposed framework to the placement control of virtual machines in data center networks. Thorough experiment, we confirm whether the proposed frame- work generates expected global order, and the performance of the proposed framework.
机译:由于自主的分散机制不需要收集所有子系统的状态信息,因此对于大规模系统而言,它具有很高的可行性。通过使用自治的分散机制来将大型系统的属性引向期望的方向(即,生成全局顺序)的挑战之一是将大型系统中的全局行为与每个子系统的自治行为规则联系起来。在本文中,基于统计力学方法(即Metropolis-Hastings算法),我们提出了一个自动分散机制的框架,该机制可以在系统中生成全局秩序,尽管每个节点都具有自主行为。然后,在本文中,我们将提出的框架应用于数据中心网络中虚拟机的放置控制。经过全面的实验,我们确认所提出的框架是否会产生预期的整体秩序,以及所提出框架的性能。

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