迈向目标驱动的任务个性化规范框架

George Chatzikonstantinou, Michael Athanasopoulos, K. Kontogiannis
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引用次数: 2

摘要

从一开始,面向服务就允许分布式客户端调用使用标准化协议、编程范例和体系结构的远程操作。此外,基于上下文信息和用户偏好编译复杂服务组合的问题也得到了研究界的广泛研究。然而,这些技术主要在单个或耦合的服务域中使用,这些服务域中使用预定义的编排和组合服务流。在本文中,我们提出了一种方法,通过这种方法,服务提供者可以将复杂的服务任务指定为目标模型模板的集合,这些目标模型模板可以由调用客户端实例化和自定义。推理过程根据客户端选择评估是否可以实现实例化的目标,从而生成符合目标模型和客户端首选项的服务流。与现有上下文感知服务计算框架的主要区别在于引入了一个推理过程,该过程允许评估各种可能协同的客户端目标,并及时启动和制定符合目标的服务组合。利用SOA技术实现了一个概念验证原型,用于服务调用和流控制。
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Towards a Goal Driven Task Personalization Specification Framework
Since its inception, Service Orientation allowed for distributed clients to invoke remote operations utilizing standardized protocols, programming paradigms and architectures. Furthermore, the problem of compiling complex service compositions, based on contextual information and user preferences, has been also extensively investigated by the research community. However, these techniques are mostly used within a single, or within coupled service domains that utilize predefined orchestration and composition service flows. In this paper, we propose an approach whereby service providers can specify complex service tasks as collections of goal model templates that can be instantiated and customized by the invoking clients. A reasoning process evaluates whether instantiated goals can be fulfilled based on the clients selections and consequently generates service flows that are compliant to the goal model and to the clients preferences. The major difference from existing context aware service computing frameworks is the introduction of a reasoning process that allows for the evaluation of various and possibly synergetic client goals and the on-time initiation and enactment of goal compliant service compositions. A proof of concept prototype has been implemented utilizing SOA technologies for service invocation and flow control.
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