Kusumoto Laboratory: H. Matsuo, S. Matsumoto, Y. Higo, and S. Kusumoto, Madoop: Improving Browser-Based Volunteer Computing Based on Modern Web Technologies, February 2019.
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H. Matsuo, S. Matsumoto, Y. Higo, and S. Kusumoto, "Madoop: Improving Browser-Based Volunteer Computing Based on Modern Web Technologies," Proc. of the 26th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2019), pp. 634-638, February 2019.
ID 584
分類 国際会議
タグ browser-based computing improving madoop modern technologies volunteer web
表題 (title) Madoop: Improving Browser-Based Volunteer Computing Based on Modern Web Technologies
表題 (英文)
著者名 (author) Hiroyuki Matsuo, Shinsuke Matsumoto, Yoshiki Higo, Shinji Kusumoto
英文著者名 (author) Hiroyuki Matsuo,Shinsuke Matsumoto,Yoshiki Higo,Shinji Kusumoto
キー (key) Hiroyuki Matsuo,Shinsuke Matsumoto,Yoshiki Higo,Shinji Kusumoto
定期刊行物名 (journal) Proc. of the 26th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2019)
定期刊行物名 (英文)
巻数 (volume)
号数 (number)
ページ範囲 (pages) 634-638
刊行月 (month) 2
出版年 (year) 2019
Impact Factor (JCR)
URL
付加情報 (note)
注釈 (annote)
内容梗概 (abstract) Browser-based volunteer computing (BBVC) is one of the distributed computing paradigms, attracting researchers’ and developers’ attention for its portability and extraordinary potential of computing power. However, BBVC still has two significant challenges: low programmability and performance. These challenges are a heavy burden for users and prevent BBVC from wide-spreading. In this paper, we propose a novel BBVC framework to solve the challenges by using MapReduce and WebAssembly. Our framework reduces the total execution time by 64% compared with a traditional BBVC mechanism. We also show a practical scenario and its performance.
論文電子ファイル desc (application/pdf) [一般閲覧可]
BiBTeXエントリ
@article{id584,
         title = {Madoop: Improving Browser-Based Volunteer Computing Based on Modern Web Technologies},
        author = {Hiroyuki Matsuo and  Shinsuke Matsumoto and  Yoshiki Higo and  Shinji Kusumoto},
       journal = {Proc. of the 26th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2019)},
         pages = {634-638},
         month = {2},
          year = {2019},
}
  

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