教師資料查詢 | 類別: 期刊論文 | 教師: 衛信文 Wei, Hsin-Wen (瀏覽個人網頁)

標題:Dynamically Iterative MapReduce
學年102
學期1
出版(發表)日期2013/11/01
作品名稱Dynamically Iterative MapReduce
作品名稱(其他語言)
著者Lee, Wei-Tsong; Wu, Ming-Zhi; Wei, Hsin-Wen; Yu, Fang-Yi; Lin, Yu-Sun
單位淡江大學電機工程學系
出版者臺北市臺灣學術網路管理委員會
著錄名稱、卷期、頁數網際網路技術學刊=Journal of Internet Technology 14(6)頁953-962
摘要MapReduce is a distributed and parallel computing model for data-intensive tasks with features of optimized scheduling, flexibility, high availability, and high manageability. MapReduce can work on various platforms; however, MapReduce is not suitable for iterative programs because the performance may be lowered by frequent disk I/O operations. In order to improve system performance and resource utilization, we propose a novel MapReduce framework named Dynamically Iterative MapReduce (DIMR) to reduce numbers of disk I/O operations and the consumption of network bandwidth by means of using dynamic task allocation and memory management mechanism. We show that DIMR is promising with detail discussions in this paper.
關鍵字Dynamically iterative MapReduce;K-Means;Particle swarm optimization (PSO);Genetic algorithm (GA);Simulated annealing (SA)
語言英文
ISSN1607-9264
期刊性質國內
收錄於SCI;EI;
產學合作
通訊作者Wei, Hsin-Wen
審稿制度
國別中華民國
公開徵稿
出版型式,紙本
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