路线,调度,时间和难处理性

G. Németh
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引用次数: 2

摘要

在大规模并行环境下,大量任务情况下各种合作模式和时间要求的管理提出了有趣的理论问题。这些系统通常是完全分布的,这就妨碍了相干的可观测性。此外,由于故障和/或修改,它们的配置可能会动态更改。因此,没有最优算法可以构造有效利用可用资源。详细分析了粒度级别、合作模式和时间要求的影响,以确定进一步研究的领域。结果表明,资源分配过程应在时间和空间上划分为不同的阶段。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Routing, scheduling, timing and intractability
The management of the various cooperation modes and timing requirements in the case of a large number of tasks poses interesting theoretical problems in massively parallel environments. These systems are in general fully distributed ones, preventing coherent observability. Moreover, their configurations may change dynamically because of failures and/or modifications. Thus no optimal algorithms can be constructed for the effective utilization of the resources available. The influence of the granularity level, cooperation modes and timing requirements are scrutinized in order to identify areas for further research. It is shown that the resource allocation procedure should be partitioned into distinct phases both in time and space.<>
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