智能环境中自适应工作流的部署

C. Goumopoulos, Ioannis Calemis, A. Kameas
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引用次数: 2

摘要

工作流已被用于为许多不同行业(包括制造业和软件业)的可重复任务或操作建模。在本文中,我们将研究如何使用工作流对服务交互进行建模,这些服务可以在智能环境中找到,以支持用户任务和目标。这种工作流的部署需要注意特殊的设计考虑,包括上下文感知、适应性管理、设备异构性和用户授权。在本文中,我们提出了一个部署自适应工作流的框架。部署基础设施支持类似bpel的设计时组合,这些组合由在运行时选择和绑定服务的机制加以补充。工作流行为还可以动态调整,以响应检测到的变化和不可预见的事件,这些变化和不可预见的事件由一组代理完成,这些代理的初始关系在工作流中指定。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Deployment of Adaptive Workflows in Intelligent Environments
Workflows have been used to model repeatable tasks or operations in a number of different industries including manufacturing and software. In this paper we examine the use of workflows to model the interaction of services that can be found in intelligent environments to support user tasks and goals. The deployment of such workflows needs to take care special design considerations, including context awareness, adaptation management, device heterogeneity, and user empowerment. In this paper, we present a framework for the deployment of adaptive workflows. The deployment infrastructure supports BPEL-like, design-time compositions that are complemented by mechanisms for the selection and binding of services at runtime. Workflow behaviour can also adjust dynamically in response to detected changes and unforeseen events by a suit of agents whose initial relationships are specified in the workflows.
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