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
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.
Key words:
artificial immune system,
danger theory,
Dendritic Cell Algorithm(DCA,
real-time task,
timeout exception
中图分类号:
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.
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.