NDLI: Feature-Based Discovery of Services with Adaptable Behaviour

Content Provider	IEEE Xplore Digital Library
Author	Martín, J.A. Sanchez, E.P.
Copyright Year	2010
Abstract	Service discovery is one of the corner stones of Service-Oriented Architectures. It aims at finding the set of services which comply with a query in a scalable way with regard to the number of services in the registry. Current approaches to service discovery are based on registries (like UDDI) which provide efficient search algorithms over the interfaces (described in WSDL) and metadata of the services, or are focussed on ontology matching mechanisms over semantic descriptions of the services (e.g., OWL-S). However, these approaches rarely support searching over stateful services (such as those described as Windows Workflows or BPEL processes) based on behavioural queries or, when they do, they perform the behavioural analysis on a second step, due to its computational complexity, and then they discard the services which present deadlocks or live locks. In this work, we introduce a new search tree for the discovery of stateful services which can be adapted to fulfil behavioural queries. The behaviour and adaptability of the services is analysed upfront during the discovery process. Thanks to Software Adaptation, our approach returns both services which perfectly match the query and those which can be adapted to it. This adaptation overcomes incompatibilities in interface and behaviour, which could lead to deadlock or live lock situations, hence our approach returns more services than traditional techniques. Moreover, behavioral adaptation abstracts services into smaller models which enable service discovery in polynomial time.
Starting Page	91
Ending Page	98
File Size	284535
Page Count	8
File Format	PDF
ISBN	9781424493975
DOI	10.1109/ECOWS.2010.22
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-12-01
Publisher Place	Cyprus
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Web services Semantics Adaptation model Software System recovery Iron Solids SOA service discovery behavioural adaptation search tree Web service
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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