使用Kerrighed的单系统图像聚类

K. Sandhya, G. Raju
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引用次数: 1

摘要

在计算集群中,节点可能是分布式的、异构的。管理和使用这样的系统可能比较困难。如果所有用户都获得具有相同外观的界面,而不是在集群的每个节点中拥有不同的视图,那将会更好。因此,单系统映像(SSI)是基于集群的系统的主要设计目标。SSI集群提供的服务是单一用户界面、单一进程空间、单一内存空间、单一文件层次结构和单一控制点。Kerrighed是一个提供上述服务的SSI操作系统。本文详细介绍了如何设置Kerrighed集群,如何使用Kerrighed集群运行MPI程序,以及集群如何在机器集群上运行MPI程序时提高MPI程序的性能。本文还介绍了Kerrighed如何借助Scheduler API帮助程序员轻松地为集群添加新的调度算法,并设计了将所提出的算法添加到Kerrighed中的方法。
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Single System Image clustering using Kerrighed
In a compute cluster, the nodes may be distributed and heterogeneous in nature. It may be difficult to administer and interface with such a system. It will be better if all the users get an interface with same look and feel rather to have a different view in each node of the cluster. Thus Single System Image(SSI) is a major design goal of cluster based systems. The services that SSI clusters offer are single user interface, single process space, single memory space, single file hierarchy and single control point. Kerrighed is an SSI Operating System which provides the services mentioned above. This paper gives the details about how to set up a Kerrighed cluster, how to use a kerrighed cluster for running MPI programs, and shows how a cluster can improve the performance of an MPI program when it is run on a cluster of machines. The paper also gives an idea about how Kerrighed helps programmers to easily add new scheduling algorithms for cluster with the help of Scheduler API and a design for adding a proposed algorithm into Kerrighed.
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