Performance management of enterprise information systems using a knowledge base

Christian Vögele, Andr Bögelsack, Helmut Krcmar

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

Abstract

Software Performance Engineering methods are applied to evaluate and improve the performance of Enterprise Information Systems. The application of these methods generates huge amount of heterogeneous and distributed measurement data as well as data of software performance modeling techniques. In order to simplify and automate the application of Software Performance Engineering and to enable meaningful performance analysis these two types of data must be stored and integrated in an efficient way. To meet this challenge the design and development of a Performance Knowledge Base is proposed in this paper. The Performance Knowledge Base is designed as a centralized, harmonized and persistent data store for the storage of all kind of generated performance data and performance knowledge. It combines and integrates measurement data and model data with the help of an integrated data mart. This paper draws a picture of the proposed architecture and the main functional requirements.

Original languageEnglish
Title of host publicationProceedings of the IADIS International Conference Information Systems 2012, IS 2012
EditorsPedro Isaias, Luis Rodrigues, Miguel Baptista Nunes, Philip Powell
PublisherIADIS
Pages352-356
Number of pages5
ISBN (Electronic)9789728939687
StatePublished - 2012
EventIADIS International Conference on Information Systems 2012, IS 2012 - Berlin, Germany
Duration: 10 Mar 201212 Mar 2012

Publication series

NameProceedings of the IADIS International Conference Information Systems 2012, IS 2012

Conference

ConferenceIADIS International Conference on Information Systems 2012, IS 2012
Country/TerritoryGermany
CityBerlin
Period10/03/1212/03/12

Keywords

  • Enterprise information systems
  • Knowledge base
  • Performance measurement
  • Performance modeling

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