Measuring the quality of an artificial hormone system based task mapping
Measuring the quality of an artificial hormone system based task mapping
复制标题
测量基于人工激素系统的任务映射的质量
DOI：
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发表时间：
2008
期刊：
影响因子：
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通讯作者：
Mathias Pacher
中科院分区：
文献类型：
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作者：
U. Brinkschulte;Alexander von Renteln;Mathias Pacher
有机计算的概念是一种趋势，以应对计算系统变得越来越小的事实所带来的问题，我们很快就会被大量难以配置，维护和控制的小型计算机所包围。
我们重新引入一个有机的中间件-人工激素系统（AHS），它可以映射到一个网格的异构处理元素的任务，同时提供系统的自我X属性，甚至保证上限的自我配置和自我修复。
本文研究了异构处理单元网格上任务映射的质量。
提出了一种算法来衡量这样的任务映射的质量。随机生成配置的实验将显示我们的人工激素系统完成的映射结果，并将其与普通的负载平衡进行比较。
The idea of Organic Computing is a trend to counter the problems arising from the fact that computing systems are getting smaller and smaller, and we will soon be surrounded by large numbers of little computers which will be hard to configure, maintain, and control.
We reintroduce an organic middleware - the artificial hormone system (AHS) which can map tasks onto a grid of heterogeneous processing elements while providing the system with self-X properties and even guaranteeing upper bounds for the self-configuration and self-healing.
This paper investigates the quality of task mappings on a grid of heterogeneous processing elements.
An algorithm is proposed to measure the quality of such task mappings. Experiments with randomly generated configurations will show results of mappings done by our artificial hormone system and compare them with ordinary load balancing.