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Batch scheduling model for distributed systems

机译:分布式系统的批处理调度模型

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摘要

Scheduling of jobs in distributed environment is proven to be NP-complete and has been addressed by various heuristics and metaheuristic approaches. It is always desired from a scheduling policy to dispense the load evenly on the available resources so as to have maximum utilization of resources while meeting the scheduling objective(s). Metaheuristics for job scheduling have gained immense popularity due to their effectiveness in providing near optimal solution in a reasonable time. This paper presents the working of batch scheduling model based on bacterial foraging. The model generates the schedule minimizing the node idle time and the makespan while exhibiting a balanced load distribution.
机译:事实证明,在分布式环境中安排作业是NP完全的,并且已经通过各种启发式和元启发式方法解决了。调度策略总是希望在可用资源上平均分配负载,以便在满足调度目标的同时最大程度地利用资源。由于工作安排的元启发式方法在合理的时间内提供了近乎最佳的解决方案,因此这种方法已经获得了广泛的应用。本文介绍了基于细菌觅食的批处理调度模型的工作。该模型生成调度,以最小化节点空闲时间和制造期,同时展现出均衡的负载分布。

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