A discrete event systems approach to network fault management: detection and diagnosis of faults

An important aspect of network management is fault management, which involves, detecting, locating, isolating, correcting and adapting to faults in the network. We study modeling of communication network protocol and fault detection, identification and localization in the discrete event system diagnosis framework. As an illustration of the approach, normal and faulty behavior of the X.25 network protocol is modeled as a finite state machine. This modeling formalism allows the utilization of discrete event system analysis for the detection and diagnosis of faults. Our approach provides a systematic way of performing fault diagnosis for network fault management. Copyright © 2011 John Wiley and Sons Asia Pte Ltd and Chinese Automatic Control Society     

Analysis of mobile agents in network fault management

Network domains have become more and more advanced in terms of their size, complexity and the level of heterogeneity. Comprehensive fault management is the most significant challenge in network management. Fault management can help increase the availability of the network by quickly identifying the faults and then, proactively, start the recovery process. Current centralized configured network management systems suffer from problems such as insufficient scalability, availability and flexibility as networks become more distributed. Mobile agents (MAs), with integral intelligence, can present a reasonable new technology that will help to achieve distributed management, several researchers have embraced these approaches. In this paper, we introduce a general analytical model for network management client/server (CS) and MA paradigms. We express how to build up an analytical framework, which can be used to quantitatively assess the performances of the MA and CS paradigms under different scenarios. We present some numerical and experimental results that demonstrate the applicability of our proposed framework, which will be based on a combination of MA and CS schemes called Adaptive Intelligent Mobile Agent.     

一种故障管理系统的层次化结构设计*

基于故障管理基本原理,提出了一种故障管理系统的层次化结构设计方案,分析了该层次化结构的基本特征,并研究了该结构在高端服务器上的实现技术。实际应用表明,该结构具有可行性,基于该结构实现的故障管理系统可较好地提高服务器可靠性。     

信息融和技术在内燃机车故障诊断中的实现

将信息融和技术和人工神经网络两种智能化手段结合起来,结合集成神经网络的知识,利用Matlab 7.0实现了对内燃机车故障诊断仿真。克服了信息的不完备性和不确定性,更加准确全面地描述了被测对象,实现设备故障的分类诊断和最终决策。     

基于TMN的全光网网络管理研究

基于波长路由的WDM全光网是下一代高速宽带光纤网络的首技术,如何对它进行有效而灵活的管理是目前研究的热点,主要对全光网的结构 光网的网管作了探讨。     

An introduction to TMN

The Telecommunication Management Network standard (ITU-T M.3010), the Network Magagement Forum OMNIPoint program, and many related developments are summarized. TMN and OMNIPoint are presented as a means to achieve integrated network management in the telecommunications industry by calling for all management systems to include an interoperable interface which permits each system to be integrated into a larger management hierarchy. By means of such interfaces, hierarchical integration of management systems can be achieved within the administration of a single service provider. Interoperable interfaces also make possible the interconnection of multiple service providers and the connection of customer to service provider, resulting in the possibility of industry wide integration of management infrastructures at all levels.     

基于递增方式的视点集成研究*

针对与视点集成相关的问题,首先讨论了基于开发关系的视点集成方式,然后提出了一种基于二元递增方式的视点集成过程;同时采用范畴理论对该集成过程进行了建模,有利于一般意义上进一步研究与视点集成相关的基本性质.     

电信管理网性能管理中的辅助决策系统

网络性能管理是电信管理网(TMN)的一个重要组成部分,它确保网络的有效运行并提供预定的服务等级。然而,性能管理的复杂性和大量的人力资源呼唤着一种高效、交互和实时的管理技术的到来。文中介绍的辅助决策系统模型是为以上需要而提出的,它以专家系统(ES)为核心,通过结构化和非结构化两种方式,采用经验、统计、推理相结合的方法,支持网络性能管理中的绝大部分重要功能的实现。     

基于关联图形的三视图联动机理探讨

对基于关联图形的三视图联动作了初步的研究。在单视图联动的基础上，提出了实现三视图联动的基本思想，包括以下几个方面的内容：扩展关联图形子图形表，建立不同视图子图形间的投影关系，分别建立3个视图的基本子图形的约束关系树，并对某些特殊的工程约束进行预处理。在此基础上，实现三视图的一致联动。     

基于距离向量路由协议的网络故障管理的研究

随着信息时代的进步,网络环境也随之日益复杂化,为了确保网络中服务器和应用的高可靠性,现在的网络骨干网中都设置了后备线路,一方面能够有效避免由于上层服务中断所造成的运营损失;另一方面能够在网络流量过大时对流量的负载平衡进行整合.当网络发生故障或问题时,将对企业客户造成无法估量的损失,因此,本文提出了一种基于距离向量路由协议的网络故障管理系统,以确保骨干网络的高可靠性和高可用性,为了提高系统的可扩展性与实用性,本文基于plug-and-play的思想,使得该系统只需被动监控骨干网络中的任一路由器即可实现对故障发生的可疑位置的定位.     

基于机器学习的蜂窝网络故障管理框架及方法综述

网络故障管理旨在检测、识别和纠正网络中发生的错误状况,为用户获得可靠稳定的网络服务提供保障,近年来,如何利用机器学习方法进行蜂窝网络故障管理引起了广泛关注。首先介绍了蜂窝网络故障管理的研究背景,明确网络故障管理的流程和功能;接着介绍现有蜂窝网络故障管理框架;随后对现有机器学习在蜂窝网络故障管理中的方法研究进行评述,从故障管理周期入手,分别对实现故障检测、故障诊断以及故障预测的机器学习方法展开介绍、总结和对比分析,为相关领域的研究提供参考。     

浅析电力行业信息安全管理

该文总结了目前我国电力企业信息化的优势特征,列举了电力企业网络信息管理存在的主要问题,对问题的成因进行深入分析,并提出了一系列可行性较强的加强电力企业网络信息安全的建议和方法,对建立长效机制,使电力企业网络信息安全管理成为企业安全文化的重要组成部分,提出了比较切实有效的思路。     

基于TMN的移动通信网管体系结构

本文阐述了网络管理系统知识，TMN(通信管理网)体系结构，并以此为基础设计了移动通信网管体系软件总体结构。     

信息融合的故障诊断技术及应用

介绍了信息融合的种类和层次,信息融合的基本特点,融合系统的构成及关键技术;分析了融合技术处理多源信息的能力,将数据融合技术与故障诊断原理融为一体,通过数据层信息融合、特征层信息融合、决策层信息融合,实现了基于数据融合技术的变压器故障诊断;减少了传感器不确定性误差的影响,解决了变压器故障诊断中不确定推理过程,提高了变压器故障诊断的确诊率。     

An Architecture for Inter-Domain Troubleshooting

In this paper, we explore the constraints of a new problem: that of coordinating network troubleshooting among peer administrative domains and untrusted observers. Our approach permits any entity to report problems, whether it is a Network Operations Center (NOC), end-user, or application. Our goals are to define the inter-domain coordination problem clearly, and to develop an architecture which allows observers to report problems and receive timely feedback, regardless of their own locations and identities. By automating this process, we also relieve human bottlenecks at help desks and NOCs whenever possible. We present a troubleshooting approach for coordinating problem diagnosis, and describe Global Distributed Troubleshooting (GDT), a distributed protocol which realizes this approach. We show through simulation that GDT scales well as the number of observers and problems grows.     

SNMP-TMN的MIB转换技术实现研究*

电信管理网与简单网络管理网网管系统的互操作技术,成为计算机网络与电信网络有效互连的关键技术之一。而网络管理信息库(MIB)包含了管理信息的定义,是网络管理的核心部件。分析了委托代理的工作原理,在IIMC研究的基础上,提出了网络管理中 MIB的模板转换机理及其转换的Java方法实现。     

Active probing based Internet service fault management in uncertain and noisy environment

In Internet service fault management based on active probing, uncertainty and noises will affect service fault management. In order to reduce the impact, challenges of Internet service fault management are analyzed in this paper. Bipartite Bayesian network is chosen to model the dependency relationship between faults and probes, binary symmetric channel is chosen to model noises, and a service fault management approach using active probing is proposed for such an environment. This approach is composed of two phases： fault detection and fault diagnosis. In first phase, we propose a greedy approximation probe selection algorithm （GAPSA）, which selects a minimal set of probes while remaining a high probability of fault detection. In second phase, we propose a fault diagnosis probe selection algorithm （FDPSA）, which selects probes to obtain more system information based on the symptoms observed in previous phase. To deal with dynamic fault set caused by fault recovery mechanism, we propose a hypothesis inference algorithm based on fault persistent time statistic （FPTS）. Simulation results prove the validity and efficiency of our approach.     

CISOC-ChIMS:化学信息管理系统

摘要:随着化学及与之相关学科和专业的发展,对化学信息进行管理的需求也日益增多。本文主要介绍自主研制并获得中国软件著作权的化学信息管理系统,CISOC-ChIMS。它具有化学结构检索和文字检索两大检索功能,并便于数据库维护、中文处理、图形存贮和使用方便等特点。     

基于JDMK的TMN管理信息模型的分析与设计

TMN规范是电信管理网的主流技术，其信息模型的定义和描述是TMN技术标准的核心，具体实现已有多种方式，但主要是基于C或C＋＋，难以实现跨平台移植。结合JDMK给出了TMN信息模型的一种新的实现方式。JDMK具有集中分布的体系结构，不仅能实现完全面向对象和真正的对象分布，不能充分利用java的特点，并且有良好的扩充性和移植性。