Provision of Disk I/O Guarantee for MapReduce Applications

X. T. Tran, T. V. Do, Nam H. Do, L. Farkas, C. Rotter
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引用次数: 6

Abstract

YARN is an emerging resource management in the Hadoop ecosystem, where big data in the scale of petabytes/day are processed with the use of commercial off-the-shelf servers. At present YARN supports only RAM and CPU reservation/control. However, the reservation and the control of disk I/O throughput are also needed to provide a satisfactory performance for MapReduce applications. In this paper, we propose a solution with software components that can be integrated into YARN to support the reservation of disk I/O throughput in YARN. Experiments show that a proposed solution can provide a disk I/O throughput guarantee for MapReduce applications.
为MapReduce应用提供磁盘I/O保证
YARN是Hadoop生态系统中一个新兴的资源管理系统,它可以使用现成的商用服务器来处理每天pb级的大数据。目前YARN只支持RAM和CPU预留/控制。然而,预留和控制磁盘I/O吞吐量也需要为MapReduce应用程序提供满意的性能。在本文中,我们提出了一个可以集成到YARN中的软件组件的解决方案,以支持YARN中磁盘I/O吞吐量的保留。实验表明,该方案可以为MapReduce应用程序提供磁盘I/O吞吐量保证。
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