English  |  正體中文  |  简体中文  |  Post-Print筆數 : 27 |  Items with full text/Total items : 96741/127401 (76%)
Visitors : 32391820      Online Users : 449
RC Version 6.0 © Powered By DSPACE, MIT. Enhanced by NTU 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://nccur.lib.nccu.edu.tw/handle/140.119/66928


    Title: Strong Diagnosability of Regular Networks Under the Comparison Model
    Authors: 許志堅
    Sheu, Jyh-Jian;Huang, Wen-Tzeng;Chen, Chin-Hsing
    Contributors: 傳播學院
    Keywords: Diagnosability;Connectivity;PMC model;Comparison model;t-diagnosable;Strongly t-diagnosable
    Date: 2008.03
    Issue Date: 2014-06-25 17:12:59 (UTC+8)
    Abstract: Diagnosability has played an important role in the reliability of multiprocessor systems. The strongly t -diagnosable system is (t+1t+1) diagnosable except when all of the neighbors of a node are simultaneously faulty. In this paper, we discuss the in-depth properties of diagnosability for t -regular and t -connected networks under the comparison model. We show that a t -regular and t -connected multiprocessor system with at least 2t+62t+6 nodes, for t⩾4t⩾4, is strongly t -diagnosable under the comparison model if the following two conditions hold: (1) the system is triangle free, and (2) there are at most t−2t−2 common neighbors for each pair of distinct nodes in the system.
    Relation: Information Processing Letters, 106(1), 19-25
    Data Type: article
    Appears in Collections:[廣播電視學系] 期刊論文

    Files in This Item:

    File Description SizeFormat
    19-25.pdf202KbAdobe PDF893View/Open


    All items in 政大典藏 are protected by copyright, with all rights reserved.


    社群 sharing

    著作權政策宣告
    1.本網站之數位內容為國立政治大學所收錄之機構典藏,無償提供學術研究與公眾教育等公益性使用,惟仍請適度,合理使用本網站之內容,以尊重著作權人之權益。商業上之利用,則請先取得著作權人之授權。
    2.本網站之製作,已盡力防止侵害著作權人之權益,如仍發現本網站之數位內容有侵害著作權人權益情事者,請權利人通知本網站維護人員(nccur@nccu.edu.tw),維護人員將立即採取移除該數位著作等補救措施。
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - Feedback