Foundations for Efficient Web Service Selection - Yu, Qi

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Résumé :
Foundations for Efficient Web Service Selection describes the foundational framework for efficient Web service selection. It lays out a theoretical underpinning for the design of models and algorithms for searching and optimizing access to Web services. Excerpts from Prof. Fabio Casati's foreword: This excellent book looks at the search problem from a broader perspective. Instead of narrowing down on a specific aspect or subproblem of service search, it dissects and analyzes the fundamental problems in search and presents concrete, applicable solutions as well as the theoretical foundations behind them...One aspect I found particularly significant in the book is the mind shift it generates from thinking about service modeling for the sake of supporting deployment or invocation to modeling for supporting search. This design for search approach is exactly what we do when we design databases because search is what we worry about in that case, and there is no reason why this shouldn't be the case for services if we want services to be searchable with a similar effectiveness. Foundations for Efficient Web Service Selection is designed for researchers and practitioners in the service-oriented computing area. This book is also suitable for advanced-level students in computer science.

Sommaire:
Towards a WSMS: The State of the Art.- A Foundational Service Framework.- Multi-objective Service Query Optimization.- Skyline Computation for Multi-Service Query Optimization.- Skyline Computation over Uncertain QoWS.- Related Work.- Conclusions.

From the reviews: The stated purpose of the book is to present a framework for query optimization in Web services. ... The most significant contribution of the book might be the development of more efficient algorithms to generate the service execution path skyline. ... Overall, the book is well written and supported by excellent graphics. It is an in-depth read for serious Web services developers who have a ... knowledge in query algorithms and mathematics, and solid previous knowledge of Web services. (Susan Shepherd Ferebee, ACM Computing Reviews, March, 2010)