Self-Adaptive Resource Allocation in Open Distributed Systems

Xinghui Zhao, Nadeem Jamali
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引用次数: 1

Abstract

In an open distributed system, computational resources are peer-owned, and distributed over time and space. The fact that these resources can dynamically join or leave the system (or can be discovered at runtime) leads to opportunities to carry out computations without statically owned resources, harnessing the collective compute power of the resources connected by the Internet. However, realizing this potential requires efficient and scalable resource discovery, coordination and control, not to mention that the dynamicity that makes opportunities visible at runtime also leads to uncertainty about continuous availability of the needed resources. In this paper, we present our experimental work using a resource-oriented temporal logic, ROTA, to reason about accommodating mobile distributed computations in an open system. Our results show that the approach leads to better accommodation of computations and scales well by avoiding unnecessary migrations.
开放分布式系统中的自适应资源分配
在开放的分布式系统中,计算资源是对等拥有的,并且随时间和空间分布。这些资源可以动态地加入或离开系统(或者可以在运行时被发现),这一事实导致有机会在没有静态拥有的资源的情况下执行计算,从而利用通过Internet连接的资源的集体计算能力。然而,实现这一潜力需要高效和可伸缩的资源发现、协调和控制,更不用说使机会在运行时可见的动态性也会导致所需资源的持续可用性的不确定性。在本文中,我们介绍了我们的实验工作,使用面向资源的时间逻辑,ROTA,来推理在开放系统中容纳移动分布式计算。我们的结果表明,通过避免不必要的迁移,该方法可以更好地适应计算和伸缩性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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