Table of Contents
Information, Volume 10, Issue 7 (July 2019) – 24 articles
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Cover Story (view full-size image) Data locality is key to improving the performance of big data processing. Apache Hadoop, which can [...] Read more. Data locality is key to improving the performance of big data processing. Apache Hadoop, which can handle big data by sending an analysis code to data nodes to reduce data movement on a network, So, is a fundamental big data processing technology. Four Hadoop modules, Hadoop Distributed File System (HDFS), Yet Another Resource Negotiator and MapReduce, have been investigated to improve the performance of data processing on Hadoop. Among the four modules, HDFS showed the greatest increase in data locality on Hadoop. In particular, the deep data locality fully maximizes the data locality on HDFS by pre-assigning and pre-allocating data blocks on HDFS. View this paper