Creating a knowledge database on system dependability and resilience

Marcin Kubacki , Janusz Sosnowski

Abstract

The paper deals with the problem of creating a knowledge database on system dependability and resilience, created on the basis of available system and application logs. Special tools to collect and analyse these data from many systems have been developed. Taking into account a wide spectrum of various logs we explore them locally and globally. This allowed for identification of characteristics of normal operation and anomalous behaviour. A lot of attention is paid to the problem of selection measures to identify symptoms characterising system operation and their usefulness in dependability and resilience evaluation or prediction. The concepts presented are illustrated with experience gained during monitoring of real systems.
Author Marcin Kubacki (FEIT / IN)
Marcin Kubacki,,
- The Institute of Computer Science
, Janusz Sosnowski (FEIT / IN)
Janusz Sosnowski,,
- The Institute of Computer Science
Journal seriesControl and Cybernetics, ISSN 0324-8569
Issue year2013
Vol42
No1
Pages287-307
Keywords in Englishdependability, data mining, event and performance logs, resilience
ASJC Classification2604 Applied Mathematics; 2611 Modelling and Simulation; 2207 Control and Systems Engineering
ProjectDevelopment of new methods and algorithms in the following areas: computer graphics, artificial intelligence, and information systems, and distributed systems . Project leader: Rybiński Henryk, , Phone: +48 22 234 7731, start date 29-05-2012, planned end date 31-12-2012, end date 30-11-2013, II/2012/DS/1, Completed
WEiTI Działalność statutowa
Languageen angielski
Score (nominal)14
Score sourcejournalList
ScoreMinisterial score = 10.0, 19-04-2020, ArticleFromJournal
Ministerial score (2013-2016) = 14.0, 19-04-2020, ArticleFromJournal
Publication indicators GS Citations = 9.0; Scopus SNIP (Source Normalised Impact per Paper): 2013 = 0.482; WoS Impact Factor: 2010 = 0.3 (2) - 2010=0.773 (5)
Citation count*9 (2020-09-20)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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