Metaheuristic optimization of large-scale QoS-aware service compositions

Florian Rosenberg*, Max Benjamin Müller, Philipp Leitner, Anton Michlmayr, Athman Bouguettaya, Schahram Dustdar

*Corresponding author for this work

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

61 Citations (Scopus)

Abstract

We present an optimization approach for service compositions in large-scale service-oriented systems that are subject to Quality of Service (QoS) constraints. In particular, we leverage a composition model that allows a flexible specification of QoS constraints by using constraint hierarchies. We propose an extensible metaheuristic framework for optimizing such compositions. It provides coherent implementation of common metaheuristic functionalities, such as the objective function, improved mutation or neighbor generation. We implement three metaheuristic algorithms that leverage these improved operations. The experiments show the efficiency of these implementations and the improved convergence behavior compared to purely randomized metaheuristic operators.

Original languageEnglish
Title of host publicationProceedings - 2010 IEEE 7th International Conference on Services Computing, SCC 2010
Pages97-104
Number of pages8
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 IEEE 7th International Conference on Services Computing, SCC 2010 - Miami, FL, United States
Duration: 5 Jul 201010 Jul 2010

Publication series

NameProceedings - 2010 IEEE 7th International Conference on Services Computing, SCC 2010

Conference

Conference2010 IEEE 7th International Conference on Services Computing, SCC 2010
Country/TerritoryUnited States
CityMiami, FL
Period5/07/1010/07/10

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