QoS-aware middleware for Web services composition
Liangzhao Zeng,Boualem Benatallah,Anne H. H. Ngu,Marlon Dumas,Jayant R. Kalagnanam,Henry Chang +5 more
TLDR
This paper presents a middleware platform which addresses the issue of selecting Web services for the purpose of their composition in a way that maximizes user satisfaction expressed as utility functions over QoS attributes, while satisfying the constraints set by the user and by the structure of the composite service.Abstract:
The paradigmatic shift from a Web of manual interactions to a Web of programmatic interactions driven by Web services is creating unprecedented opportunities for the formation of online business-to-business (B2B) collaborations. In particular, the creation of value-added services by composition of existing ones is gaining a significant momentum. Since many available Web services provide overlapping or identical functionality, albeit with different quality of service (QoS), a choice needs to be made to determine which services are to participate in a given composite service. This paper presents a middleware platform which addresses the issue of selecting Web services for the purpose of their composition in a way that maximizes user satisfaction expressed as utility functions over QoS attributes, while satisfying the constraints set by the user and by the structure of the composite service. Two selection approaches are described and compared: one based on local (task-level) selection of services and the other based on global allocation of tasks to services using integer programming.read more
Citations
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Book ChapterDOI
Multiple criteria decision making
János Fodor,Marc Roubens +1 more
TL;DR: In this Chapter, a decision maker (or a group of experts) trying to establish or examine fair procedures to combine opinions about alternatives related to different points of view is imagined.
Journal ArticleDOI
Efficient algorithms for Web services selection with end-to-end QoS constraints
Tao Yu,Yue Zhang,Kwei-Jay Lin +2 more
TL;DR: A broker-based architecture is designed to facilitate the selection of QoS-based services and efficient heuristic algorithms for service processes of different composition structures are presented.
Proceedings ArticleDOI
An approach for QoS-aware service composition based on genetic algorithms
TL;DR: Genetic Algorithms, while being slower than integer programming, represent a more scalable choice, and are more suitable to handle generic QoS attributes.
Journal ArticleDOI
Adaptive Service Composition in Flexible Processes
Danilo Ardagna,Barbara Pernici +1 more
TL;DR: A new modeling approach to the Web service selection problem that is particularly effective for large processes and when QoS constraints are severe is introduced.
Journal ArticleDOI
QoS-Aware Web Service Recommendation by Collaborative Filtering
TL;DR: This paper proposes a collaborative filtering approach for predicting QoS values of Web services and making Web service recommendation by taking advantages of past usage experiences of service users, and shows that the algorithm achieves better prediction accuracy than other approaches.
References
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TL;DR: This tutorial explores the most salient and stable specifications in each of the three major areas of the emerging Web services framework, which are the simple object access protocol, the Web Services Description Language and the Universal Description, Discovery, and Integration directory.
Book ChapterDOI
Multiple criteria decision making
János Fodor,Marc Roubens +1 more
TL;DR: In this Chapter, a decision maker (or a group of experts) trying to establish or examine fair procedures to combine opinions about alternatives related to different points of view is imagined.
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Efficient algorithms for Web services selection with end-to-end QoS constraints
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