English  |  正體中文  |  简体中文  |  Items with full text/Total items : 49521/84656 (58%)
Visitors : 7586604      Online Users : 60
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/93541


    Title: Dynamically Iterative MapReduce
    Authors: Lee, Wei-Tsong;Wu, Ming-Zhi;Wei, Hsin-Wen;Yu, Fang-Yi;Lin, Yu-Sun
    Contributors: 淡江大學電機工程學系
    Keywords: Dynamically iterative MapReduce;K-Means;Particle swarm optimization (PSO);Genetic algorithm (GA);Simulated annealing (SA)
    Date: 2013-11-01
    Issue Date: 2014-01-22 16:43:39 (UTC+8)
    Publisher: 臺北市:臺灣學術網路管理委員會
    Abstract: 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.
    Relation: 網際網路技術學刊=Journal of Internet Technology 14(6),頁 953-962
    DOI: 10.6138/JIT.2013.14.6.10
    Appears in Collections:[電機工程學系暨研究所] 期刊論文

    Files in This Item:

    File Description SizeFormat
    Dynamically Iterative MapReduce.pdf624KbAdobe PDF659View/Open
    index.html0KbHTML108View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback