A Next-Gen Network Switch Software Automation Upgrade Method Based on a Two-step Inference Expert System

Li Tang, Po Yan, Z. Liu, Jinmin Chen
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引用次数: 1

Abstract

This paper presents an automatic software upgrade method for an next-generation network (NGN) switch instead of the manual software upgrade. An expert system is designed for the automation upgrade, and a two-step inference is adopted in its inference engine. The expert system can handle most of exceptions and faults during the upgrade and make the software upgrade automation, and its knowledge base can be expanded by on-line learning and off-line learning. This paper gives the detailed implementation of the automatic upgrade strategy and the expert system, and describes the two-step inference algorithm. The automation upgrade method can save the NGN switch upgrade time, improve the reliability of the NGN switch software upgrade and decrease the network administrator (user) work force. The experiment result shows the automatic software upgrade method has the great performance improvement compared to the manual software upgrade.
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基于两步推理专家系统的新一代网络交换机软件自动化升级方法
本文提出了一种下一代网络交换机软件自动升级的方法,取代了手工升级的方法。设计了自动化升级专家系统,其推理引擎采用两步推理。专家系统可以处理软件升级过程中的大部分异常和故障,实现软件升级的自动化,并可以通过在线学习和离线学习来扩展其知识库。本文给出了自动升级策略和专家系统的详细实现,并描述了两步推理算法。自动化升级方式可以节省NGN交换机升级时间,提高NGN交换机软件升级的可靠性,减少网络管理员(用户)的工作量。实验结果表明,与手动软件升级相比,自动软件升级方法具有较大的性能提升。
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