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树突状细胞算法在检测任务超时异常中的应用
引用本文:魏建刚,张曦煌.树突状细胞算法在检测任务超时异常中的应用[J].计算机工程,2012,38(15):240-243.
作者姓名:魏建刚  张曦煌
作者单位:江南大学物联网工程学院,江苏无锡214122;江南大学轻工过程先进控制教育部重点实验室,江苏无锡214122
摘    要:描述树突状细胞算法(DCA)的生物学机理及其主要步骤和适用环境。通过分析实时任务的特征,抽象出应用DCA所需要的参数。以传统检测任务超时方法为基准,验证DCA检测实时任务超时的准确性。实验结果表明,DCA能够节省更多的系统资源,较准确地发现超时异常。

关 键 词:人工免疫系统  危险理论  树突状细胞算法  实时任务  超时异常
收稿时间:2011-10-09

Application of Dendritic Cell Algorithm in Detecting Timeout Exception of Task
WEI Jian-gang , ZHANG Xi-huang.Application of Dendritic Cell Algorithm in Detecting Timeout Exception of Task[J].Computer Engineering,2012,38(15):240-243.
Authors:WEI Jian-gang  ZHANG Xi-huang
Affiliation:a,b(a.College of Internet of Things;b.Key Laboratory of Advanced Process Control for Light Industry,Ministry of Education,Jiangnan University,Wuxi 214122,China)
Abstract:The biological mechanism,main steps and applicable environment of Dendritic Cell Algorithm(DCA) are described and introduced.Through analyzing the characteristics of real-time task,the required parameters are abstracted and given.Experiment results show that DCA can accurately detect overtime exception appeared in real-time task compared with traditional methods.In addition,this method can provide basis for processing the exceptions.
Keywords:artificial immune system  danger theory  Dendritic CellAlgorithm(DCA)  real-time task  timeout exception
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