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复杂感知网络风险控制算法的设计
引用本文:林清.复杂感知网络风险控制算法的设计[J].九江职业技术学院学报,2020(1):15-16.
作者姓名:林清
作者单位:泉州华光职业学院
摘    要:承载了大数据业务的复杂感知网络在满足业务接入的同时如何应对网络节点面临的业务失效风险,已成为业界研究的热门问题。风险控制算法克服了传统算法在实施风险评估时对节点较高的依赖性。风险控制算法通过构建数学模型为展开信息域参数的计算和更新,并制定筛选策略来锁定潜在风险的异常业务质量(QoS)目标节点。经验证,该算法具有良好的可行性。

关 键 词:复杂  信息域  异常  算法  计算

Design of Risk Control Algorithm for Complex Perceived Network
Lin Qing.Design of Risk Control Algorithm for Complex Perceived Network[J].Journal of Jiujiang Vocational and Techinical College,2020(1):15-16.
Authors:Lin Qing
Institution:(Quan Zhou Huaguang Vocational College,Quanzhou,Fujian,362121)
Abstract:In the field of complex perceptual network which carries the big data service,it has become a hot issue to figure out how to deal with the service failure risk faced by the network nodes while satisfying the service access.In view of the high dependence of traditional algorithms on nodes when implementing risk assessment,a risk control algorithm is proposed in this paper.The algorithm builds a mathematical model to expand the calculation and update of information domain parameters,and establishes a screening strategy to lock in the potential risk of abnormal service quality(QoS)target nodes.The algorithm is proved to be feasible.
Keywords:complexity  information domain  anomaly  algorithm  calculation
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