跨分布式计算平台的自适应调度

骈文研究 Pub Date : 2004-07-05 DOI:10.1109/ISPDC.2004.8
Andrew J. Page, Thomas M. Keane, T. Naughton
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引用次数: 7

摘要

一个可编程的Java分布式系统,它适应了可用的资源,已经开发最小化计算密集型问题的总体处理时间。该系统利用由网络连接在一起的异构计算机的空闲资源,使用SUN Microsystems的远程方法调用和Java套接字进行通信。它使用多层分布式系统模型,原则上允许系统的大小无界。该系统由一个n元节点树组成,其中内部节点执行调度,叶子节点执行处理。调度器节点以点对点方式通信,处理节点以严格的客户机-服务器方式与各自的调度器进行操作。树的每一层上的独立调度器根据底层网络不断变化的特征在问题之间动态地分配资源。该系统已在86台pc的网络上进行了评估,其中包含生物信息学应用程序和旅行推销员优化问题。
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Adaptive scheduling across a distributed computation platform
A programmable Java distributed system, which adapts to available resources, has been developed to minimise the overall processing time of computationally intensive problems. The system exploits the free resources of a heterogeneous set of computers linked together by a network, communicating using SUN Microsystems' Remote Method Invocation and Java sockets. It uses a multi-tiered distributed system model, which in principal allows for a system of unbounded size. The system consists of an n-ary tree of nodes where the internal nodes perform the scheduling and the leaves do the processing. The scheduler nodes communicate in a peer-to-peer manner and the processing nodes operate in a strictly client-server manner with their respective scheduler. The independent schedulers on each tier of the tree dynamically allocate resources between problems based on the constantly changing characteristics of the underlying network. The system has been evaluated over a network of 86 PCs with a bioinformatics application and the travelling salesman optimisation problem.
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