English  |  正體中文  |  简体中文  |  全文笔数/总笔数 : 56859/90577 (63%)
造访人次 : 12301838      在线人数 : 68
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜寻范围 查询小技巧:
  • 您可在西文检索词汇前后加上"双引号",以获取较精准的检索结果
  • 若欲以作者姓名搜寻,建议至进阶搜寻限定作者字段,可获得较完整数据
  • 进阶搜寻


    jsp.display-item.identifier=請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/99976


    题名: Shareability and Locality Aware Scheduling Algorithm in Hadoop for Mobile Cloud Computing
    作者: Wei, Hsin-Wen;Hsu, Che-Wei;Wu, Tin-Yu;Lee, Wei-Tsong
    贡献者: 淡江大學電機工程學系
    关键词: mobile cloud computing;Hadoop;Map Reduce
    日期: 2014-10-23
    上传时间: 2015-01-20 10:59:36 (UTC+8)
    出版者: 高雄市:高雄應用科技大學
    摘要: Using different scheduling algorithms can affect the performance of mobile cloud computing using Hadoop MapReduce framework. In Hadoop MapReduce framework, the default scheduling algorithm is First-InFirst-Out (FIFO). However, the FIFO scheduler simply schedules tasks according to their arrival time and does not consider any other factors that may have great impact on system performance. As a result, FIFO cannot achieve good performance in Hadoop for mobile cloud computing. In this paper, we propose a novel scheduling algorithm, called FSLA (FIFO with Shareability and Locality Aware). FSLA is a FIFObased scheduling policy that considers locality of required data and data sharing probability between tasks. The tasks requesting the same data can be gathered, easily batch processed, and thus reduce the overhead of transferring data between data nodes and computations nodes. The simulation results show that compared to FIFO, FSLA can reach 65% improvement in system performance.
    關聯: TANET2014 臺灣網際網路研討會論文集
    显示于类别:[電機工程學系暨研究所] 會議論文

    文件中的档案:

    档案 描述 大小格式浏览次数
    index.html0KbHTML178检视/开启
    SessionChair.pdf議程107KbAdobe PDF30检视/开启

    在機構典藏中所有的数据项都受到原著作权保护.

    TAIR相关文章

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