| 標題：Dynamically Iterative MapReduce |
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| 學年 | 102 |
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| 學期 | 1 |
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| 出版（發表）日期 | 2013/11/01 |
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| 作品名稱 | Dynamically Iterative MapReduce |
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| 作品名稱（其他語言） | |
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| 著者 | Lee, Wei-Tsong; Wu, Ming-Zhi; Wei, Hsin-Wen; Yu, Fang-Yi; Lin, Yu-Sun |
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| 單位 | 淡江大學電機工程學系 |
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| 出版者 | 臺北市：臺灣學術網路管理委員會 |
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| 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 |
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| 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. |
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| 關鍵字 | Dynamically iterative MapReduce;K-Means;Particle swarm optimization (PSO);Genetic algorithm (GA);Simulated annealing (SA) |
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| 語言 | 英文 |
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| ISSN | 1607-9264 |
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| 期刊性質 | 國內 |
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| 收錄於 | SCI;EI; |
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| 產學合作 | |
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| 通訊作者 | Wei, Hsin-Wen |
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| 審稿制度 | 是 |
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| 國別 | 中華民國 |
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| 公開徵稿 | |
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| 出版型式 | ,紙本 |
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