English  |  正體中文  |  简体中文  |  Items with full text/Total items : 49378/84106 (59%)
Visitors : 7362349      Online Users : 92
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/987654321/106680


    Title: A QoS-aware Data Reconstruction Strategy for a Data Fault-tolerance Storage System
    Authors: Hsin-Wen Wei, Tseng-Yi Chen, Nai-Yuan Jhang, Shou-Han Chen, Tsan-sheng Hsu, Wei-Kuan Shih
    Keywords: cloud computing;data handling;fault tolerant computing;quality of service
    Date: 2014-05-01
    Issue Date: 2016-04-27 11:20:51 (UTC+8)
    Abstract: Recently, many applications and users rely on cloud storage services, such as Google drive, Dropbox, iCloud and Sky drive, to store private files and system data, and cloud storage services must thus be reliable and secure. To increase reliability, previous studies have proposed a variety of erasure coding algorithms for data fault tolerance for use in storage systems. Although these data fault tolerance mechanisms increase data reliability, implementation also increases storage system costs and energy consumption due to data redundancy. However, to date energy-efficient schemes have only been developed based on a RAID architecture, and none have been implemented using an erasure coding algorithm. To address this issue, this study proposes an energy-aware I/O framework with a quality-of-service (QoS) aware data reconstruction scheduler for erasure coding algorithms, called the EEC-scheme. This approach reduces storage system energy consumption and decreases response times for user requests when the system restores failed disks. A series of experiments show that the proposed scheme can significantly reduce power consumption in storage systems.
    Relation: 2015 IEEE 7th International Conference on Cloud Computing Technology and Science (CloudCom), pp.274-281
    DOI: 10.1109/CloudCom.2015.72
    Appears in Collections:[電機工程學系暨研究所] 會議論文

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML43View/Open
    index.html議程0KbHTML4View/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