Statistical evaluation of data allocation optimization techniques with application to computer integrated manufacturing

Eleventh Annual International Phoenix Conference on Computers and Communication [1992 Conference Proceedings] Pub Date : 1992-04-01 DOI:10.1109/PCCC.1992.200576

I. Remedios, K. Efe, L. Delcambre

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Abstract

A statistical approach is used to analyze the performance of data allocation optimization techniques in distributed computer systems. This approach is applied to a computer integrated manufacturing (CIM) system with hierarchical control constraints. The performance of some existing general purpose optimization techniques are compared with heuristics specifically developed for allocating data in a CIM system. Data allocation optimization techniques were actually implemented and performance was evaluated for a 250 node apparel CIM factory. The specific issues addressed include: (1) solution quality in terms of the minimum system wide input/output (I/O) task operating cost, (2) the probability of finding a better solution, (3) the performance of optimization heuristics in terms of their figure-of-merit, and (4) the impact of I/O task activation scenarios on the choice of an optimization technique for solving the CIM data allocation problem.<>

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数据分配优化技术的统计评价及其在计算机集成制造中的应用

采用统计方法分析了分布式计算机系统中数据分配优化技术的性能。将该方法应用于具有层次控制约束的计算机集成制造(CIM)系统。将一些现有的通用优化技术的性能与专门为在CIM系统中分配数据而开发的启发式技术进行了比较。数据分配优化技术的实际实施和性能评估的250节点服装CIM工厂。所涉及的具体问题包括:(1)最小系统范围输入/输出(I/O)任务操作成本方面的解决方案质量，(2)找到更好解决方案的概率，(3)优化启发式的性能，以及(4)I/O任务激活场景对解决CIM数据分配问题的优化技术选择的影响。

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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Eleventh Annual International Phoenix Conference on Computers and Communication [1992 Conference Proceedings]

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