教師資料查詢 | 類別: 期刊論文 | 教師: 李維聰 Wei-tsong Lee (瀏覽個人網頁)

標題:Adaptive Combiner for MapReduce on cloud computing
學年102
學期2
出版(發表)日期2014/03/11
作品名稱Adaptive Combiner for MapReduce on cloud computing
作品名稱(其他語言)
著者Huang, Tzu-Chi; Chu, Kuo-Chih; Lee, Wei-Tsong; Ho, Yu-Sheng
單位淡江大學電機工程學系
出版者New York: Springer New York LLC
著錄名稱、卷期、頁數Cluster Computing 17(4), pp.1231-1252
摘要MapReduce is a programming model to process a massive amount of data on cloud computing. MapReduce processes data in two phases and needs to transfer intermediate data among computers between phases. MapReduce allows programmers to aggregate intermediate data with a function named combiner before transferring it. By leaving programmers the choice of using a combiner, MapReduce has a risk of performance degradation because aggregating intermediate data benefits some applications but harms others. Now, MapReduce can work with our proposal named the Adaptive Combiner for MapReduce (ACMR) to automatically, smartly, and trainer for getting a better performance without any interference of programmers. In experiments on seven applications, MapReduce can utilize ACMR to get the performance comparable to the system that is optimal for an application.
關鍵字MapReduce;Combiner;Cloud computing;ACMR
語言英文
ISSN1573-7543
期刊性質國外
收錄於SCI;
產學合作
通訊作者
審稿制度
國別荷蘭
公開徵稿
出版型式,電子版,紙本
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