面向多粒度服务组合的服务地平线

Proceedings of the 2014 International Workshop on Web Intelligence and Smart Sensing Pub Date : 2014-09-01 DOI:10.1145/2637064.2637092

Quanwang Wu, F. Ishikawa

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引用次数: 4

摘要

支持QoS的多粒度服务组合考虑细粒度服务实例作为QoS优化的候选对象，以及粗粒度服务实例。在本文中，我们利用天际线技术来过滤非感兴趣的服务实例，以减少优化的搜索空间。我们提出了跨粒度支配和泛化组件服务天际线的概念。通过只关注天际线，仍然可以获得最优的构图，并且可以大大加快请求时的优化过程。最后阐述了广义组件服务的天际线计算方法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Towards Service Skyline for Multi-granularity Service Composition

QoS-aware multi-granularity service composition considers fine-grained service instances as candidates for QoS optimization as well as coarse-grained ones. In this paper, we leverage the skyline technology to filter the non-interesting service instances to reduce the search space of optimization. We propose the concepts of cross-granularity dominance and the skyline for a generalized component service. By focusing only on the skyline, the optimal composition can still be obtained and the optimization process at the request time can be largely sped up. How to compute the skyline for a generalized component service is elaborated at last.

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Proceedings of the 2014 International Workshop on Web Intelligence and Smart Sensing

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