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  4. I/O Processor Allocation for Mesh Cluster Computers
 
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I/O Processor Allocation for Mesh Cluster Computers

Date Issued
2004
Date
2004
Author(s)
Hsu, Chun-Chen
DOI
en-US
URI
http://ntur.lib.ntu.edu.tw//handle/246246/54041
Abstract
As cluster systems become increasingly popular, more and more paralle applications require need not only computing power but also significant I/O performance. However, the I/O subsystem has become the bottleneck of the overall system performance for years due to slower improvement of the second storage devices. In recent years parallel I/O has drawn an increasing attention as a promising approach to eliminate this bottleneck. To improve I/O efficiency of a cluster system computation tasks must be carefully assigned to processors, so that the communication overheads within the group the processors of the task, and those I/O traffics that connect processors of the task to I/O system are both optimized. Earlier processor allocation strategies considered the optimization of communication traffic or I/O traffic only. Since both the communication and I/O traffic can cause network contention, we develop two groups of algorithms -- binary tree based methods and Snake-Hilbert curve based methods, that address the issues of both communication and I/O traffics simultaneously. The experimental results indicate that for tasks that have different mixture of communication and I/O traffics, our algorithms have very good performance in terms of overall parallel I/O efficiency. We also developed two mathematical evaluating criteria -- ``compactness' and ``spatial compactness', to determine the fitness of allocation algorithms in terms of geometrical adjacency of processors. The theoretical results of these two criteria are also presented in this dissertation.
Subjects
平行輸出入器配置
叢集計算
processor allocation
parallel I/O
Type
thesis
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ntu-93-R91922100-1.pdf

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