An Improved Replica Placement Policy for Hadoop Distributed File System Running on Cloud Platforms

Wei Dai, Ibrahim Adel Ibrahim, M. Bassiouni
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引用次数: 19

Abstract

Load balance is a crucial issue for data-intensive computing on cloud platforms, because a load balanced cluster can significantly improve the completion time of data-intensive jobs. In this paper, we present an improved replica placement policy for Hadoop Distributed File System (HDFS), which is specifically designed for heterogeneous clusters. The HDFS replica placement policy cannot generate balanced replica assignment, and hence has to rely on a load balance utility to balance the load among cluster nodes. In contrast, our proposed policy can generate perfectly even replica assignment, and also achieve load balance among cluster nodes in any heterogeneous or homogeneous environments without the running of the load balance utility.
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云平台上运行Hadoop分布式文件系统的改进副本放置策略
对于云平台上的数据密集型计算来说,负载均衡是一个至关重要的问题,因为负载均衡的集群可以显著提高数据密集型作业的完成时间。在本文中,我们提出了一种改进的Hadoop分布式文件系统(HDFS)的副本放置策略,它是专门为异构集群设计的。HDFS副本放置策略不能生成均衡的副本分配,因此必须依赖于负载平衡实用程序来平衡集群节点之间的负载。相比之下,我们提出的策略可以生成完全均匀的副本分配,并且还可以在任何异构或同构环境中实现集群节点之间的负载平衡,而无需运行负载平衡实用程序。
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