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Building Profit-Aware Service-Oriented Business Applications

机译:建立利润感知服务导向的业务应用

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摘要

Service composition is becoming a prevalent way to building service-oriented business applications (SOBAs). In an open service environment, the profit of composition (PoC) is a primary concern of building such applications. How to improve the PoC is a significant issue in developing SOBAs but was largely overlooked by current research. Particularly, the modeling and prediction of PoC should play a key role to drive the composition process. In this paper, we focus on how to model and predict PoC in SOBAs. We regard the PoC of a composite service as a function of the quality of service (QoS) attributes, defined in the service level agreement (SLA) between the service and its external partners. Based on the PoC prediction approach, we further propose a profit-driven composition methodology to assist enterprises to make more profit in their SOBAs.
机译:服务组成正在成为建立面向服务的业务应用(SOBAS)的普遍途径。在开放的服务环境中,组成的利润(POC)是建立此类应用的主要关注点。如何改善POC是开发荞麦面的重要问题,但主要忽视了当前的研究。特别地,POC的建模和预测应该发挥关键作用以驱动组合过程。在本文中,我们专注于如何模拟和预测SOBAS中的POC。我们将综合服务的POC视为服务质量(QoS)属性的函数,在服务及其外部合作伙伴之间的服务级别协议(SLA)中定义。根据POC预测方法,我们进一步提出了一种利润驱动的组合方法,以帮助企业在他们的袜带中提供更多利润。

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