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基于着色Petri网的工作流模型研究 被引量:6
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作者 龚凌玲 钟勇 《计算机应用》 CSCD 北大核心 2008年第B06期291-294,共4页
针对传统Petri网建模方法的不足,研究了通过资源结构建模的工作流建模方法。在着色Petri网的基础上提出资源/任务网(R/T-net),并给出基于R/T-net的工作流建模过程。R/T模型能够有效地实现产品数据结构和过程结构的统一,资源流对任务流... 针对传统Petri网建模方法的不足,研究了通过资源结构建模的工作流建模方法。在着色Petri网的基础上提出资源/任务网(R/T-net),并给出基于R/T-net的工作流建模过程。R/T模型能够有效地实现产品数据结构和过程结构的统一,资源流对任务流的控制以及模型的仿真。 展开更多
关键词 工作流 着色PETRI 资源/任务网
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ACS-based resource assignment and task scheduling in grid
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作者 祁超 张璟 李军怀 《Journal of Southeast University(English Edition)》 EI CAS 2007年第3期451-454,共4页
To solve the deadlock problem of tasks that the interdependence between tasks fails to consider during the course of resource assignment and task scheduling based on the heuristics algorithm, an improved ant colony sy... To solve the deadlock problem of tasks that the interdependence between tasks fails to consider during the course of resource assignment and task scheduling based on the heuristics algorithm, an improved ant colony system (ACS) based algorithm is proposed. First, how to map the resource assignment and task scheduling (RATS) problem into the optimization selection problem of task resource assignment graph (TRAG) and to add the semaphore mechanism in the optimal TRAG to solve deadlocks are explained. Secondly, how to utilize the grid pheromone system model to realize the algorithm based on ACS is explicated. This refers to the construction of TRAG by the random selection of appropriate resources for each task by the user agent and the optimization of TRAG through the positive feedback and distributed parallel computing mechanism of the ACS. Simulation results show that the proposed algorithm is effective and efficient in solving the deadlock problem. 展开更多
关键词 GRID resource assignment task scheduling ant colony system (ACS) task resource assignment graph (TRAG) SEMAPHORE
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A trust domain-based multi-agent model for network resource selection
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作者 田俊峰 Li +2 位作者 Juan Yang Xiaohui 《High Technology Letters》 EI CAS 2010年第2期124-132,共9页
Because of the anonymity and openness of E-commerce, the on-line transaction and the selection of network resources meet new challenges. For this reason, a trust domain-based multi-agent model for network resource sel... Because of the anonymity and openness of E-commerce, the on-line transaction and the selection of network resources meet new challenges. For this reason, a trust domain-based multi-agent model for network resource selection is presented. The model divides the network into numbers of trust domains and prevents the inconsistency of information maintained by different agents through the periodical communication among the agents. The model enables consumers to receive the response from the agents much quicker because the trust values of participators are evalUated and updated dynamically and timely after the completion of each transaction. In order to make users choose the best matching services and give users with trusted services, the model takes into account the similarity between services and the service providers' recognition to the services. Finally, the model illustrates the effectiveness and feasibility according to the experiment. 展开更多
关键词 TRUST trust-domain MULTI-AGENT web services semantic similarity
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