Semantic Data Management in IT Service Performance Assurance

  • Imre Kocsis Department of Measurement and Information Systems, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, H-1117 Budapest, Magyar tudósok krt. 2., Hungary
  • András Pataricza Department of Measurement and Information Systems, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, H-1117 Budapest, Magyar tudósok krt. 2., Hungary

Abstract

In today's dynamic and highly composed environments, IT service performance and dependability assurance require efficient reasoning about the performance and dependability effects of faults and the countermeasures to choose, using limited knowledge. Model- and observation-based qualitative error propagation analysis methods can be applied to this end; however, providing support for the human, as well as conceptually structured machine interpretation of sets of competing error propagation hypotheses is an open problem. This paper proposes the application of Formal Concept Analysis (FCA) for these tasks. A natural way to represent error propagation hypothesis sets as formal contexts is proposed, and the visual diagnostic exploration of formal context lattices is introduced. On this basis, potential applications of FCA in performance and dependability assurance activities are characterized.

Keywords: error propagation analysis, formal concept analysis, system test and diagnosis
Published online
2019-07-25
How to Cite
Kocsis, I. and Pataricza, A. (2019) “Semantic Data Management in IT Service Performance Assurance”, Periodica Polytechnica Electrical Engineering and Computer Science, 63(4), pp. 282-294. doi: https://doi.org/10.3311/PPee.13305.
Section
Articles