An End-to-End Approach for QoS-Aware Service Composition

Authors:
Florian Rosenberg;Predrag Celikovic;Anton Michlmayr;Philipp Leitner;Schahram Dustdar
Affiliations:
-;-;-;-;-
Venue:
EDOC '09 Proceedings of the 2009 IEEE International Enterprise Distributed Object Computing Conference (edoc 2009)
Year:
2009

Citing 0
Cited 5

Stepwise and asynchronous runtime optimization of web service compositions

WISE'11 Proceedings of the 12th international conference on Web information system engineering
Multi-agent selection of multiple composite web services based on CBR method and driven by QoS

Proceedings of the 13th International Conference on Information Integration and Web-based Applications and Services
Automated planning for feature model configuration based on functional and non-functional requirements

Proceedings of the 16th International Software Product Line Conference - Volume 1
Global optimal selection of web composite services based on UMDA

ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part V
Optimization of adaptation plans for a service-oriented architecture with cost, reliability, availability and performance tradeoff

Journal of Systems and Software

Quantified Score

Hi-index	0.00

Visualization

Abstract

A simple and effective composition of software services into higher-levelcomposite services is still a very challenging task. Especially in enterpriseenvironments, Quality of Service (QoS) concerns play a major role when buildingsoftware systems following the Service-Oriented Architecture (SOA) paradigm. Inthis paper we present a composition approach based on a domain-specific language(DSL) for specifying functional requirements of services and the expected QoS inform of constraint hierarchies by leveraging hard and soft constraints. Acomposition runtime will resolve the user's constraints to find an optimizedcomposition semi-automatically. To this end we leverage data flow analysis togenerate a structured composition model and use two different techniques for theoptimization, a constraint programming and an integer programming approach.