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A design of resource fault handling mechanism using dynamic resource reallocation for the resource and job management system

机译:资源和作业管理系统中使用动态资源重新分配的资源故障处理机制设计

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Due to the development of NGS technologies and the reduction of analysis cost, it is possible to perform population-scale human genome analysis. Also, large amount of genome data have been exploded recently. It is required for introduction parallel processing using High Performance Computing systems to analyse and handle these large data through genome analysis pipeline. In this paper, we propose the resource fault handling mechanism based on dynamic resource reconfiguration and delayed scheduling for data-intensive pipeline job processing such as genome analysis executed on the large cluster systems interconnected by high speed and low latency network. In order to prevent the abnormal job completion caused by lack of the specific resources, we offer the resource fault detection and handling methods. If the cause of fault is lack of resources, it can be solved by the resource re-allocation and process freezing/resuming based delayed job execution or process migration on the available node.
机译:由于NGS技术的发展和分析成本的降低,有可能进行人口规模的人类基因组分析。另外,近来大量的基因组数据爆炸了。使用高性能计算系统进行并行处理以通过基因组分析管道分析和处理这些大数据是必需的。在本文中,我们提出了基于动态资源重新配置和延迟调度的资源故障处理机制,用于数据密集型管道作业的处理,例如在高速低延迟网络互连的大型集群系统上执行的基因组分析。为了防止由于缺少特定资源而导致的异常作业完成,我们提供了资源故障检测和处理方法。如果故障原因是缺乏资源,则可以通过重新分配资源以及基于可用节点上的延迟作业执行或进程迁移的进程冻结/恢复来解决问题。

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