DocumentCode :
2411502
Title :
The Design and Enforcement of a Rule-based Constraint Policy Language for Service Composition
Author :
Wei, Wei ; Yu, Ting
Author_Institution :
Dept. of Comput. Sci., North Carolina State Univ., Raleigh, NC, USA
fYear :
2010
fDate :
20-22 Aug. 2010
Firstpage :
873
Lastpage :
880
Abstract :
Service composition is a new paradigm for efficient and cost-effective IT service provisioning over the network. To safely and effectively deploy composed services within an organization or among multiple domains, one must be able to specify and enforce a variety of constraints such as those derived from legal regulations, Quality of Service (QoS) requirements and privacy and security policies. In this paper, we show through concrete examples that constraints involving topologies are common for composed services but are rarely supported by existing service composition policy languages. We then present a rule-based constraint policy language built on top of a general graph-based service composition model. The language provides a unified treatment to support both attribute-based and topology-based constraints. We further design an ontology-based policy framework for effective policy enforcement and analysis. Finally, we implement a prototype policy management system for service composition, and conduct extensive experiments to evaluate the effectiveness of the proposed techniques.
Keywords :
data privacy; graph theory; knowledge based systems; ontologies (artificial intelligence); security of data; software architecture; graph-based service composition model; legal regulations; ontology-based policy framework; privacy policies; quality of service requirements; rule-based constraint policy language; security policies; service composition policy languages; service oriented architecture; software as a service; Business; OWL; Ontologies; Privacy; Quality of service; Security; Topology; Policy Language; Service Composition; Topology Constraint;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Social Computing (SocialCom), 2010 IEEE Second International Conference on
Conference_Location :
Minneapolis, MN
Print_ISBN :
978-1-4244-8439-3
Electronic_ISBN :
978-0-7695-4211-9
Type :
conf
DOI :
10.1109/SocialCom.2010.130
Filename :
5591439
Link To Document :
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