AWS-Policy: An Extension for Autonomic Web Service Description
Author(s) -
Haithem Mezni,
Walid Chainbi,
Khaled Ghédira
Publication year - 2012
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2012.06.122
Subject(s) - computer science , autonomic computing , adaptation (eye) , web service , quality of service , service oriented architecture , service provider , process management , service (business) , process (computing) , architecture , ws policy , world wide web , computer network , web development , cloud computing , web application security , business , art , physics , marketing , optics , visual arts , operating system
In the last years, the need for integrating QoS to service oriented architecture has become a significant factor for managing service-based systems. In addition, combining self-* and policy-based management has major advantages since it reduces complexity management and effectively drives self-adaptation of Web services. Current service oriented architecture does not support policy-based self-management. To allow this, the description of autonomic Web services (AWS) must not be limited to functional and non-functional data. Indeed, QoS data are not sufficient to effectively drive the self-adaptation process. In addition, providers must participate in the self-adaptation process as they are aware of the capabilities and requirements of their published services and the exceptions that may occur. In this paper, we propose a rich information model that allows describing autonomic Web services based not only on QoS data but also on additional information such as service specific adaptation actions. We extend WS-Policy to specify services related data. UDDI is also extended to support policy-based self-management
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