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Investigation and fundamental analysis of process allocation scheme on grid computing environment

机译:网格计算环境过程分配方案的调查与基本分析

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摘要

In Grid systems, we can use some computers interspersed widely over the Internet. Therefore, by dividing a long-lived process with large memory, which will be simply called process, into some sub-processes and allocating/transmitting them to some computers individually, we could shorten the total processing time since their sub-processes are managed in parallel. However, each computer on the Grid environment has different CPU performance and/or the different amount of memory from the others and the computational load dynamically changes, so that it would be important to allocate sub-processes to computers according to their performance and/or computational loads. Thus in this research, we investigate process allocation schemes by modeling these computers as M/G/1-PS(Processor Sharing) queues, and analytically evaluate the average processing time in these schemes. Furthermore, we investigate the optimal number of sub-processes that minimizes the average processing time.
机译:在网格系统中,我们可以在互联网上使用一些广泛的计算机。 因此,通过将长期内存划分为大存储器的长寿过程,这将简单地称为过程,分别将其分配给某些计算机,我们可以缩短它们的子进程中的总处理时间 平行线。 但是,电网环境上的每台计算机都具有不同的CPU性能和/或来自其他计算机的数量,并且计算负载动态地改变,因此将子进程分配给计算机的性能和/或 计算负载。 因此,在本研究中,我们通过将这些计算机建模为M / G / 1-PS(处理器共享)队列来调查过程分配方案,并分析这些方案中的平均处理时间。 此外,我们研究了最小化平均处理时间的最佳子程序数。

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