An Adaptive Policy-Based Framework for Network Services Management
Journal of Network and Systems Management
Model-based Discovery of Web Services
ICWS '04 Proceedings of the IEEE International Conference on Web Services
Constraint Driven Web Service Composition in METEOR-S
SCC '04 Proceedings of the 2004 IEEE International Conference on Services Computing
Behavioral models as service descriptions
Proceedings of the 2nd international conference on Service oriented computing
Runtime Service Discovery and Reconfiguration Using OWL-S Based Semantic Web Service
CIT '07 Proceedings of the 7th IEEE International Conference on Computer and Information Technology
Non-intrusive monitoring and service adaptation for WS-BPEL
Proceedings of the 17th international conference on World Wide Web
A journey to highly dynamic, self-adaptive service-based applications
Automated Software Engineering
A Framework for Proactive Self-adaptation of Service-Based Applications Based on Online Testing
ServiceWave '08 Proceedings of the 1st European Conference on Towards a Service-Based Internet
A Framework for Dynamic Service Discovery
ASE '08 Proceedings of the 2008 23rd IEEE/ACM International Conference on Automated Software Engineering
A System Architecture for Context-Aware Service Discovery
Electronic Notes in Theoretical Computer Science (ENTCS)
Online adaptation policy design for grid sensor networks with reconfigurable embedded nodes
Proceedings of the Conference on Design, Automation and Test in Europe
ICSOC'06 Proceedings of the 4th international conference on Service-Oriented Computing
Automatic location of services
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
A monitoring approach for runtime service discovery
Automated Software Engineering
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The need to change service-based systems during their execution time has been recognized as an important challenge in service oriented computing. There are several situations that may trigger changes in service-based systems such as unavailability or malfunctioning of services; changes in the functional, quality, or contextual characteristics of the services; changes in the context of the service-based system environment; emergence of new services; or changes in the requirements of the system. However, in order to support dynamic changes in service-based systems, it is necessary to have replacement policies describing what needs to be changed, and how and when the changes should be executed. In this paper, we describe replacement policies to support dynamic changes in service-based systems. These replacement policies are used in our service discovery framework that supports proactive identification of services in parallel to the execution of the system. A prototype tool has been implemented in order to illustrate and evaluate the framework. The results of some initial evaluation are also described in the paper.