flow:基于AI规划和工作流的自动化Web服务组合系统

Xin Li, Xinhuai Tang, Zhaoteng Song, X. Yuan, D. Chen
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引用次数: 11

摘要

自动化Web服务组合是灵活、快速集成信息的重要方法。然而,现有的合成方法不足以满足用户的需求。本文首先讨论了现有web服务组合方法的局限性,然后引入分离模型,将web服务类型定义的表示从实例定义中分离出来,以便更好地组织预期的数千个web服务。最后构建了一个自动化的web服务组合系统,实现了web服务的快速、灵活的组合。该系统流程由两个子系统组成:AI规划子系统和服务配对子系统。AI Planning子系统接收用户的请求,形成抽象工作流,并将其传递给Service Matchmaking子系统。服务匹配子系统通过匹配引擎根据抽象工作流选择最合适的服务实例,然后生成可执行的工作流执行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AFlow: An Automated Web Services composition system based on the AI planning and workflow
Automated Web Service composition is an important way for integrating information flexibly and quickly. However, existing composition approaches are insufficient for satisfying users' requirements. In this paper, we firstly discuss the limitations of the existing web service composition approaches and then introduce the separation model to separate the representation of web service type definitions from instance definitions in order to organize the expected thousands of web services well. At last we construct an automated web service composition system, which allows for fast and flexible composition of web services. This system AFlow consists of two subsystems: AI Planning subsystem and Service Matchmaking subsystem. The AI Planning subsystem receives the user's request to form an abstract workflow and transfer it to the Service Matchmaking subsystem. The Service Matchmaking subsystem selects the most suitable service instances according to the abstract workflow via the matchmaking engine and then generates an executable workflow to execute.
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