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A Survey on Dynamic Job Scheduling in Grid Environment Based on Heuristic Algorithms

机译:基于启发式算法的网格环境下动态作业调度研究

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Computational Grids are a new trend in distributed computing systems. They allow the sharing of geographically distributed resources in an efficient way, extending the boundaries of what we perceive as distributed computing. Various sciences can benefit from the use of grids to solve CPU-intensive problems, creating potential benefits to the entire society. Job scheduling is an integrated part of parallel and distributed computing. It allows selecting correct match of resource for a particular job and thus increases the job throughput and utilization of resources. Job should be scheduled in an automatic way to make the system more reliable, accessible and less sensitive to subsystem failures. This paper provides a survey on various heuristic algorithms, used forscheduling in grid
机译:计算网格是分布式计算系统的新趋势。它们允许以有效的方式共享地理分布的资源,从而扩展了我们认为是分布式计算的范围。使用网格解决CPU密集型问题可以使各种科学受益,从而为整个社会带来潜在的利益。作业调度是并行和分布式计算的集成部分。它允许为特定作业选择正确的资源匹配,从而提高了作业吞吐量和资源利用率。应该以自动方式调度作业,以使系统更可靠,更易访问且对子系统故障不太敏感。本文提供了用于网格调度的各种启发式算法的调查

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