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Modeling of Failure Detector Based on Message Delay Prediction Mechanism

机译:基于消息延迟预测机制的故障检测器建模

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Failure detection is a key technology in tolerant system. Failure detectors without adaptive mechanism cannot meet the requirements of QOS (quality of service) of applications because of the variations of the network in actual distributed system. Adaptive failure detectors should dynamically adjust the detecting quality according to the variations of the real-time state of the network. Assuming that the delay and loss of the messages is a random probability, a failure detection model based on the predicted message delay is proposed in this paper. A PAC-AFD adaptive failure detection algorithm is realized based on the above model which is on the basis of the prediction from historical message delay and contains checking idea. Experimental results show that the algorithm can relieve the effect of the delay and loss of the message on the failure detection while ensuring the accuracy and completeness of detection.
机译:故障检测是容错系统的关键技术。由于实际分布式系统中网络的变化,没有自适应机制的故障检测器无法满足应用程序的QOS(服务质量)要求。自适应故障检测器应根据网络实时状态的变化动态调整检测质量。假设消息的时延和丢失为随机概率,提出了一种基于预测消息时延的故障检测模型。基于上述模型,实现了PAC-AFD自适应故障检测算法,该算法基于对历史消息时延的预测,并包含校验思想。实验结果表明,该算法在保证检测的准确性和完整性的同时,可以减轻消息的延迟和丢失对故障检测的影响。

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