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A Service-Merging-Enabled SOA Framework for Inter-Enterprise Collaboration

机译:用于企业间协作的启用了服务合并的SOA框架

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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.
机译:在传统的面向服务的体系结构(SOA)下,服务匹配的功能约束和服务选择的性能要求(即服务质量,QoS)是明显分开的。因此,可以依次且独立地执行服务匹配和服务选择。并且简化了SOA的实现复杂性。实际上,功能约束和QoS经常扩展和折衷。具有相似功能的服务提供商将通过相互协作而成为功能更强大,性能更高的合并服务。本文提出了一种扩展的QoS(exQoS)系统,其中包含一些服务功能约束和传统的性能指标。然后,基于exQoS建立启用服务合并的SOA(meSOA),并且可以使用meSOA支持跨企业的服务合并。此外,将基于合并服务的服务匹配和选择问题表述为非线性规划(NLP)问题,并提出了相应的求解算法。最后,将该NLP方法与传统方法进行了数值实验比较,验证了该方法的正确性和优越性。

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