Creating a knowledge database on system dependability and resilience
Marcin Kubacki , Janusz Sosnowski
AbstractThe 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.
|Journal series||Control and Cybernetics, ISSN 0324-8569|
|Keywords in English||dependability, data mining, event and performance logs, resilience|
|ASJC Classification||; ;|
|Project||Development 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
|Score|| = 10.0, 19-04-2020, ArticleFromJournal|
= 14.0, 19-04-2020, ArticleFromJournal
|Publication indicators||= 9.0; : 2013 = 0.482; : 2010 = 0.3 (2) - 2010=0.773 (5)|
|Citation count*||9 (2020-09-20)|
* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.