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A framework for locating service providers in service-oriented software systems

机译:在面向服务的软件系统中定位服务提供者的框架

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Service-Oriented software architecture becomes a common computing practice in developing enterprise applications. When software components are located on different computing platforms, there will be a need for computing a minimum cost graph that connects the service providers to the service requester. Unfortunately, computing such a graph can take quite a long time. The problem could be simple if there is only one service provider. Unfortunately, this is not always the case and in several applications there is a need to reach all providers simultaneously. The problem gets more complicated if there are specific constraints imposed by the requester or service providers. One of these constraints is to get the service through certain intermediate delegate systems. Hence, in this paper a new framework is proposed based on genetic algorithms to tackle this problem. Simulation studies have been carried out to evaluate the performance of the proposed model. The results of simulation studies indicate that the proposed model is able to compute a near-optimal graph that satisfies the imposed constraints.
机译:面向服务的软件体系结构已成为开发企业应用程序时常见的计算实践。当软件组件位于不同的计算平台上时,将需要计算将服务提供商连接到服务请求者的最低成本图。不幸的是,计算这样的图可能要花费相当长的时间。如果只有一个服务提供商,则问题可能很简单。不幸的是,情况并非总是如此,在一些应用中,需要同时到达所有提供商。如果请求者或服务提供者施加了特定的约束,则问题将变得更加复杂。这些限制之一是通过某些中间委托系统获得服务。因此,本文提出了一种基于遗传算法的新框架来解决这一问题。已经进行了仿真研究,以评估所提出模型的性能。仿真研究的结果表明,所提出的模型能够计算出满足所施加约束的近最佳图。

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