| 存储区域网中基于神经网络故障检测器的研究 |
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| 引用本文： | 杨光. 存储区域网中基于神经网络故障检测器的研究[J]. 计算机工程与应用, 2011, 47(33): 10-12. DOI: 10.3778/j.issn.1002-8331.2011.33.003 |
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| 作者姓名： | 杨光 |
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| 作者单位： | 中南财经政法大学 信息与安全工程学院，武汉 430073 |
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| 基金项目： | 国家自然科学基金(No.60373088); 教育部基本科研项目(No.31541011303,No.31540911205&2009093)~~ |
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| 摘 要： | 故障检测器是构建可靠的存储区域网所必需的部分。针对系统中节点状态变化快的特点，设计了一种基于神经网络的故障检测器。它结合心跳策略和神经网络模型，根据环境的变化预测出被检测节点的状态，在一定的检测时间内，提高了故障检测器的精度。实验表明，该故障检测器具有较好的性能，提高了存储区域网的可靠性。
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| 关 键 词： | 神经网络 心跳 故障检测器 模型 策略 |
| 修稿时间： | |
Research of failure detector based on neural net in storage area network |
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| YANG Guang. Research of failure detector based on neural net in storage area network[J]. Computer Engineering and Applications, 2011, 47(33): 10-12. DOI: 10.3778/j.issn.1002-8331.2011.33.003 |
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| Authors: | YANG Guang |
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| Affiliation: | School of Information and Safety Engineering，Zhongnan University of Economics and Law，Wuhan 430073，China |
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| Abstract: | Failure detectors have been an important abstraction to build dependable communication applications over storage area network subject to faults.To address the dynamic characteristics of node in system,a failure detector,which can combine heartbeat strategy with neural net,is designed to forecast the status of detected node according to network environment changes.The examination result shows that the fault detector has better performance. |
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| Keywords: | neural net heartbeat fault detector model strategy |
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