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In order to support service composition, services come with semantic markups that describe their functionalities, properties and conditions (pre and post conditions of the service).
The proposed middleware spontaneously provides aggregation and composition services to both components, making them interoperable and working as a single cohesive unit.
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The mechanism present in a given piping system varies according to the fluid composition, service location, geometry, temperature, and so forth.
[14, 33] Not addressed Syntax level service selection and composition at design-time Not addressed [16, 31, 32, 34 38], Semantic Knowledge to drive the service composition Design-time services selection, binding and composition Service Choreography evolution through adaptation to possible changes in the discovered services.
That is, the service composition aggregates services provided by other service providers into a distinct value-added service and may itself act as service provider (Papazoglou et al. [2006]).
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]).
Service composition is initially applied to create composite services for various complex business requirements.
To end users, the rich semantic information may facilitate service composition and service discovery.
The approach we advocate allows a personalized and automated composition of services with service level guarantees accordance with SLA.
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.
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