ABSTRACT
In this era of Cloud Computing and Service Architecture, it is expected that web services will proliferate the
current market and business will expose their web serviceĆs as B2B, C2B, E2E and C2C service componets,
many web services offer the similar services, and the clients application will demand more value added
services and informative services rather than those offered by single entity ,or isolated web services.
Synthesis of Service Semantics with high quality is prominent and in high demand, Internet based applications
share webservices and offer services as data pipelines and social computing. The client applications are
experiencing cost and quality intensive competition to select service portfolio and create semantics service
composition, among numerous possible plans, that satisfy their quality-of-service (QoS) requirements. Typical
QoS attributes associated with a semantic fabric services are the consumption cost and time, availability of
services, dynamic runtime service execution rate, service and entity reputation, and web trends of service
frequency and performance payload support. This paper describes the service composition architecture and
webservice composition algorithm based on combinatorial and Poisson distribution. As mathematical and
implementation framework of the service algorithm maintains the high standard of service QoS composition
in a business portfolio of service category and assists the business entity and client application to have better
service selection and QoS of request and response.
Keywords: - Web service composition; Quality-of-service (QoS); QoS-oriented composition algorithm;
Combinatorial Optimization and Statistical Analysis; Web service composition architecture