N. Hayashibara, X. D\'efago, and T. Katayama, "Flexible Failure Detection with \kappa-FD," Research Report, IS-RR-2004-006, Japan Advanced Institute of Science and Technology, February 2004.
ID 66
分類 テクニカルレポート
タグ failure detection
表題 (title) Flexible Failure Detection with \kappa-FD
表題 (英文)
著者名 (author) Naohiro Hayashibara,Xavier D\'efago,Takuya Katayama
英文著者名 (author) Naohiro Hayashibara,,Takuya Katayama
キー (key) Naohiro Hayashibara,,Takuya Katayama
号数 (number) IS-RR-2004-006
技術報告書の種別 (type) Research Report
発行元組織 (organization) Japan Advanced Institute of Science and Technology
出版社住所 (address)
刊行月 (month) 2
出版年 (year) 2004
URL http://hdl.handle.net/10119/4783
付加情報 (note)
注釈 (annote)
内容梗概 (abstract) Many people rightly consider that failure detection should be provided as a generic distributed system service to be used to support fault-tolerance within many applications, in spite of possibly very diverse requirements. Reality is however different, as classical techniques are normally unable to cope with many distributed applications running simultaneously. To overcome this problem, we advocate a different approach to failure detection, whereby the failure detection service associates a real number to each process being monitored, representing the level of confidence that this process has crashed. In this paper, we present an adaptive failure detection algorithm based on the above principle. When compared experimentally with other recent failure detector implementations, we find that our algorithm performs significantly better with conservative failure detection (high accuracy, slow detection), and equally well with aggressive failure detection (quick detection, low accuracy). This comes in addition to a greater potential for flexibility offered by the model.

論文電子ファイル 利用できません.
         title = {Flexible Failure Detection with $\kappa$-FD},
        author = {Naohiro Hayashibara and Xavier D\'efago and Takuya Katayama},
        number = {IS-RR-2004-006},
          type = {Research Report},
    institution = {Japan Advanced Institute of Science and Technology},
         month = {2},
          year = {2004},