English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 55176/89442 (62%)
造訪人次 : 10657797      線上人數 : 20
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    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/987654321/109740

    題名: An Efficient Group-based Data Backup and Recovery Scheme in Cloud Computing Systems
    作者: Po-Jen Chuang;Chung-Hsing Wang
    關鍵詞: cloud computing systems;data fault tolerance;diskless checkpointing;exclusive-OR;data backup and recovery
    日期: 2017-01-01
    上傳時間: 2017-03-04 02:10:30 (UTC+8)
    摘要: In cloud computing systems with huge volumes of data, fault tolerance is of critical importance. To enhance data fault tolerance in cloud systems, we introduce a new groupbased data backup and recovery scheme in this paper. The new scheme performs efficient diskless checkpointing practices to maintain data correctness via alternative processors upon processor failure. The basic idea is to place six processors in a transmission group, with each processor sending data to only two member processors. In face of processor failure, such a practice helps reduce the needed data backup volume and recovery time, and reaches up to 3/6 fault-tolerance ratios. Our scheme attains the performance gain mainly because (1) it allows a processor to receive only two backup data from the group - each processor hence performs only one XOR during data backup, and (2) all groups work independently in parallel so that the needed data backup and recovery time is reduced to that for a single group. To compare the performance of our scheme and related schemes, we carry out extended simulation runs with results indicating improved survival counts, fault-tolerance ratios and computation overhead for our scheme.
    關聯: Journal of Information Science and Engineering 33(1), p.183-198
    顯示於類別:[電機工程學系暨研究所] 期刊論文


    檔案 描述 大小格式瀏覽次數
    An Efficient Group-based Data Backup and Recovery Scheme in Cloud Computing Systems_全文.pdf607KbAdobe PDF101檢視/開啟



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