Abstract
The functional constraints of service matching and performance requirements (i.e., quality of service, QoS) of service selection are separated distinctly under the traditional service-oriented architecture (SOA). Hence the service matching and service selection may be performed in turn and independently. And the complexities of the implementation of SOA are simplified also. In fact, the functional constraints and QoS are stretching and compromising frequently. And service providers with similar functions would come into being a merged-service with more powerful function and higher performance by collaboration with each other. This paper proposes an extended QoS (exQoS) system that contains some service functional constraints and traditional performance indicators. Then a service merging enabled SOA (meSOA) is established based on the exQoS, and the meSOA may be used to support service merging across enterprises. Furthermore, the problem of service matching and selection based on merged-service is formulated as a nonlinear planning (NLP) problem, and its corresponding solving algorithm is proposed also. At last, this NLP method and traditional method are compared with a numerical value experiment, which verified its correction and the superiority of this method over the traditional one.
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