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Distributed and Adaptive Service Discovery Using Preference
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Author(s): Ryota Egashira (University of California, Irvine, USA), Akihiro Enomoto (University of California, Irvine, USA)and Tatsuya Suda (University of California, Irvine, USA)
Copyright: 2010
Pages: 29
Source title:
Handbook of Research on P2P and Grid Systems for Service-Oriented Computing: Models, Methodologies and Applications
Source Author(s)/Editor(s): Nick Antonopoulos (University of Derby, UK), Georgios Exarchakos (University of Surrey, UK), Maozhen Li (Brunel University, UK)and Antonio Liotta (Technical University of Eindhoven, The Netherlands)
DOI: 10.4018/978-1-61520-686-5.ch017
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Abstract
In Service-Oriented Computing, service providers publish their services by deploying service components which implement those services into a network. Since such services are distributed around the network, Service-Oriented Computing requires the functionality to discover the services that meet certain criteria specified by an end user. In order to overcome the scalability issue that the current centralized discovery mechanism inherently has, distributed discovery mechanisms that the P2P research community has developed may be promising alternatives. This chapter outlines existing distributed mechanisms and proposes a novel discovery mechanism that utilizes end users’ preferences. The proposed mechanism allows end users to return their feedback that describes the degree of the preference for discovered services. The returned preference information is stored at nodes and utilized to decide where to forward subsequent queries. The extensive simulation demonstrates that the proposed mechanism meets key requirements such as selectivity, efficiency and adaptability.
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