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We will illustrate the framework architecture and how it is able to support the development of self-optimizing autonomic services on the basis of two evaluation services, the first one able to predict the performance of different services execution, the second one able to evaluate the security level provided by a service.
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In the proposed architecture, autonomic service providers corresponding to various activities that occur in the processes reside on the overlay network and are discovered dynamically during the execution of the process.
Therefore, autonomic service management is indicated to reduce human intervention and OPEX.
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.
To allow this, the description of autonomic Web services (AWS) must not be limited to functional and non-functional data.
Autonomic composition of services: service compositions should equip themselves with adaptive service capabilities so that they can continually morph themselves to respond to environmental demands and changes without compromising operational and financial efficiencies (Papazoglou and Heuvel [2007]).
The framework by Kotonya and Stephen ([2010]) supports interoperability capabilities, autonomic composition of services, QoS-aware service composition and and business-driven automated composition.
Therefore, the solution by Chen and Romanovsky ([2008]) supports autonomic composition of services, QoS-aware service composition and business-driven automated composition, while the solution by Gonćalves and Rubira ([2010]) supports these quality requirements and also interoperability capabilities.
The solution by Mansour and Dillon ([2011]) supports both autonomic composition of services and QoS-aware service composition.
The quality requirements selected include (i) interoperability capabilities, (ii) autonomic composition of services, (iii) QoS-aware service compositions and (iv) business-driven automated composition.
The suggested autonomic and reusable services are constructed as an extension of WS-∗ security standards, with the addition of intelligent mining techniques, in order to improve performance and effectiveness.
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