On accrual failure detectors

Material type: 文書・図像類

Author: Defago, Xavierほか

Publisher: 北陸先端科学技術大学院大学情報科学研究科

Publication date: 2004-05-14

Material Format: Digital

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Note (General)：: Traditionally, failure detectors have considered a binary model whereby a given process can be either trusted or suspected. This paper defines a famil...

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Material Type: 文書・図像類
Title: On accrual failure detectors
Author/Editor: Defago, Xavier
Urban, Peter
Hayashibara, Naohiro
Katayama, Takuya
Author Heading: Defago, Xavier
Urban, Peter
Hayashibara, Naohiro
Katayama, Takuya
Publication, Distribution, etc.: 北陸先端科学技術大学院大学情報科学研究科
Publication Date: 2004-05-14
Publication Date (W3CDTF): 2004-05-14
Periodical title: Research report (School of Information Science, Japan Advanced Institute of Science and Technology)
No. or year of volume/issue: IS-RR-2004-011
Volume: IS-RR-2004-011
Pages: 1-14
ISSN (Periodical Title): ISSN : 0918-7553
Text Language Code: eng
Target Audience: 一般
Note (General): Traditionally, failure detectors have considered a binary model whereby a given process can be either trusted or suspected. This paper defines a family of failure detectors, called accrual failure detectors, that revisits this interaction model. Accrual failure detectors associate to each process a real value representing a suspicion level. An important advantage of accrual failure detectors over binary ones is to allow distributed applications to trigger different actions depending on the suspicion level. For instance, an application can take precautionary measures when the suspicion level reaches a given level, and then take more drastic actions after it raises above a second (much higher) level. The paper defines accrual failure detectors and their basic properties. Four classes of accrual failure detectors are discussed, each of which is proved equivalent to a class of binary unreliable failure detectors (P, S, ◇P, and ◇S)
リサーチレポート（北陸先端科学技術大学院大学情報科学研究科）
identifier:https://dspace.jaist.ac.jp/dspace/handle/10119/4785
Access Restrictions: 限定公開
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 北陸先端科学技術大学院大学 : JAIST学術研究成果リポジトリ