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为满足企业的知识缺口需求,跨企业融知网络需要通过自组织进行重构以获得有序且非冗余的知识交流分层结构。在构造的分层融知系统中,首先解析了节点企业知识交流任务的反馈需求和时间约束特征;进一步根据知识状态流转及其时效性问题,利用带有时钟约束机制的时间自动机对分层融知系统的知识状态转换全过程进行精确描述和建模剖析,并结合可抢占式EDF调度算法动态优化知识流任务的截止期限及响应时间等。最后,针对分层融知系统中衍生的全部知识流任务进行了仿真实验和实时调度算法复杂度对比分析,并据此向节点企业用户提出了有效获取需求创新知识、降低时间成本的建议。
To meet the knowledge gap needs of enterprises, cross-enterprise information networks need to be restructured through self-organization to obtain an orderly and non-redundant knowledge exchange hierarchy. In structured taxonomy system, the feedback needs and time constraints of knowledge exchange tasks are analyzed firstly. Based on the transfer of state of knowledge and its timeliness, the time automaton with clock constraint mechanism is used to stratify The whole process of knowledge state transition of financial information system is described accurately and modeled. With the preemptive EDF scheduling algorithm, the deadline and response time of knowledge flow tasks are dynamically optimized. Finally, the complexity analysis of simulation experiments and real-time scheduling algorithms for all knowledge flow tasks derived from the hierarchical melt-out system is carried out. Based on this, some suggestions are proposed to node enterprise users to effectively acquire the knowledge of demand innovation and reduce the time cost.