期刊論文

學年 103
學期 1
出版(發表)日期 2014-09-01
作品名稱 A Job-Oriented Load-Distribution Scheme for Cost-Effective NameNode Service in HDFS
作品名稱(其他語言)
著者 Lin, Chi-Yi; Liao, Jhih-Kai
單位 淡江大學資訊工程學系
出版者 Olney: Inderscience Publishers
著錄名稱、卷期、頁數 International Journal of Web and Grid Services 10(4), pp.319-337
摘要 Apache Hadoop has been widely used in big data processing and distributed computations. In the Hadoop ecosystem, data are stored and managed by the Hadoop Distributed File System (HDFS), in which the NameNode machine is a single point of failure. Although HDFS Federation and HDFS High Availability solve the problem, it comes at significant cost of extra server hardware. Therefore, we aim at improving the availability of the NameNode service in a more cost-effective way. The primary innovation is the joint consideration of MapReduce jobs and the resulting HDFS operations. Specifically, we dynamically allocate a SubNameNode for each job in one of the existing TaskTrackers to provide the NameNode service. Since the load of the single NameNode is naturally distributed to the SubNameNodes, the failure rate of the NameNode machine can be reduced. Moreover, with SubNameNodes more local to the participating TaskTrackers, TaskTrackers can access the NameNode service more efficiently.
關鍵字
語言 en
ISSN 1741-1106
期刊性質 國外
收錄於 SCI EI
產學合作
通訊作者 林其誼
審稿制度
國別 GBR
公開徵稿
出版型式 ,電子版
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