内存引入了可扩展的计算集群

A. Barak, A. Braverman
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引用次数: 52

摘要

可扩展计算集群(SCC)正在成为大型机和MPP的替代方案,用于在多用户分时环境中执行高性能、高要求的应用程序。为了更好地利用这些系统的多种资源,有必要开发集群范围内资源分配和共享的方法,使SCC易于编程和使用。本文给出了一种SCC节点间的内存引导算法。该算法允许耗尽主内存的节点使用其他节点的可用内存。本文首先给出了几种节点过程布局算法的仿真结果。然后介绍了面向SCC的MOSIX多机操作系统的内存引导算法及其性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Memory ushering in a scalable computing cluster
Scalable computing clusters (SCC) are becoming an alternative to mainframes and MPP's for the execution of high performance, demanding applications in multi-user, time-sharing environments. In order to better utilize the multiple resources of such systems, it is necessary to develop means for cluster wide resource allocation and sharing, that will make an SCC easy to program and use. This paper presents the details of a memory ushering algorithm among the nodes of an SCC. This algorithm allows a node which has exhausted its main memory to use available memory in other nodes. The paper first presents results of simulations of several algorithms for process placement to nodes. It then describes the memory ushering algorithm of the MOSIX multicomputer operating system for an SCC and its performance.
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