Model-based optimization of enterprise application and service deployment

András Balogh, Dániel Varró, András Pataricza

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Enterprise services play an important role in these days' business environments. With the growing incidence of web services, the web service-based collaboration of systems is spreading. This leads to a large number of depending services. As these components form critical business applications, the availability and performance aspects of them are critical. We introduce in this paper a method that collects the QoS requirements of the high level services and propagates them through the dependencies to lower levels. Our tools also generate an optimal deployment configuration to a definite set of server nodes that guarantees the required availability and performance characteristics for all services.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages84-98
Number of pages15
DOIs
Publication statusPublished - Dec 1 2005
Event2nd International Service Availability Symposium, ISAS 2005 - Berlin, Germany
Duration: Apr 25 2005Apr 26 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3694 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other2nd International Service Availability Symposium, ISAS 2005
CountryGermany
CityBerlin
Period4/25/054/26/05

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Fingerprint Dive into the research topics of 'Model-based optimization of enterprise application and service deployment'. Together they form a unique fingerprint.

  • Cite this

    Balogh, A., Varró, D., & Pataricza, A. (2005). Model-based optimization of enterprise application and service deployment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 84-98). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3694 LNCS). https://doi.org/10.1007/11560333_7