面向服务环境中组合服务的来源模型

Paraskevi Zerva, S. Zschaler, S. Miles
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引用次数: 4

摘要

来源意识为面向服务的系统的工程增加了一个新的维度,要求它们能够回答有关所产生的任何数据来源的问题。当原子服务被聚合成附加价值的组合服务并以某些非功能特征交付时,这种需求就更加明显了。面向服务系统的来源领域的先前工作主要集中在回答来源问题所需的收集和存储基础设施上。相比之下,在本文中,我们研究了因此收集的数据的结构,将服务的基础设施作为一个整体,以及这如何影响用于回答不同类型的来源问题的来源收集。特别是,我们定义了w3c PROV本体模型的扩展,其中的概念可用于表示服务如何被发现、选择、聚合和执行的来源。通过对复合服务场景的来源实例进行推理,我们证明了模型在概念上的充分性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Provenance Model of Composite Services in Service-Oriented Environments
Provenance awareness adds a new dimension to the engineering of service-oriented systems, requiring them to be able to answer questions about the provenance of any data produced. This need is even more evident where atomic services are aggregated into added-value composite services to be delivered with certain non-functional characteristics. Prior work in the area of provenance for service-oriented systems has primarily focused on the collection and storage infrastructure required for answering provenance questions. In contrast, in this paper we study the structure of the data thus collected considering the service's infrastructure as a whole and how this affects provenance collection for answering different types of provenance questions. In particular, we define an extension of W3Cs PROV ontological model with concepts that can be used to express the provenance of how services were discovered, selected, aggregated and executed. We demonstrate the conceptual adequacy of our model by reasoning over provenance instances for a composite service scenario.
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