Sharing end-user negative symptoms for improving overlay network dependability

Yongning Tang*, Ehab Al-Shaer

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

The dependability of overlay services rely on the overlay network's capabilities to effectively diagnose and recover faults (e.g., link failures, overlay node outages). However, overlay applications bring to overlay fault diagnosis new challenges, which include large-scale deployment, inaccessible underlying network information, dynamic symptomfault causality relationship, and multi-layer complexity. In this paper, we develop an evidential overlay fault diagnosis framework (called DigOver) to tackle these challenges. Firstly, the DigOver identifies a set of potential faulty components based on shared end-user observed negative symptoms. Then, each potential faulty component is evaluated to quantify its fault likelihood and the corresponding evaluation uncertainty. Finally, the DigOver dynamically constructs a plausible fault graph to locate the root causes of end-user observed negative symptoms.

Original languageEnglish
Title of host publicationProceedings of the 2009 IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2009
Pages275-284
Number of pages10
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2009 - Lisbon, Portugal
Duration: 29 Jun 20092 Jul 2009

Publication series

NameProceedings of the International Conference on Dependable Systems and Networks

Conference

Conference2009 IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2009
Country/TerritoryPortugal
CityLisbon
Period29/06/092/07/09

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

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