An Approach to Selecting Services with Dynamic Prices for Temporal-Aware Service Processes

Yanhua Du, Hong Li
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引用次数: 1

Abstract

In order to guarantee the successful execution of temporal-aware service processes in cloud computing, one important requirement is to effectively and efficiently select the appropriate services for service processes. The existing methods don't consider the dynamic prices of candidate services, or lack the efficient and practical selecting ability when encountering complex and large scale candidate services. In this paper, we propose a new approach to selecting services for temporal-aware service processes with dynamic prices. First of all, the initial execution paths of service processes are obtained by local optimization policy. Then, we judge whether temporal violations occur on these execution paths. If there are some temporal violations, the problem of violation correction is automatically transformed to nonlinear programming model which can be solved efficiently. Finally, the optimal execution paths for service processes are obtained. The advantages of our approach are validated by a practical example.
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面向时间感知服务过程的动态价格服务选择方法
为了保证云计算中时间感知服务流程的成功执行,一个重要的要求是有效和高效地为服务流程选择合适的服务。现有的方法没有考虑候选服务的动态价格,或者在面对复杂、大规模的候选服务时缺乏高效实用的选择能力。在本文中,我们提出了一种新的方法来选择具有动态价格的具有时间感知的服务过程。首先,通过局部优化策略获得业务流程的初始执行路径;然后,我们判断这些执行路径上是否发生时间冲突。当存在时间违例时,违例校正问题自动转化为非线性规划模型,可以有效地求解。最后,得到了服务进程的最优执行路径。通过实例验证了该方法的优越性。
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