国防通信系统数字传输设施控制的链表数据库方法

Y. Pao, Jai-Dong Kim
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引用次数: 0

摘要

Jankaukas, Landesberg, Spector和Meyer(参考文献1)描述了一种国防通信系统数字传输设施的技术控制方法。该方法的状态监测和性能评估功能很有趣,故障隔离算法原则上是合理的。在本文中,我们报告了一项研究的结果,该研究旨在改进故障隔离算法,消除某些网络分区限制,减少处理时间,并使其与通道重构和其他资源管理选项兼容。在我们的方法中,通信系统被描述为两个链表数据库,即设备数据库和通信路径数据库。对于故障隔离,基本思想是,每当收到异常报告时,来自设备报警部件的指针指向设备所在的路径。对于每一个这样的路径,设备都有一个序数来说明它在该路径上的位置。对于某一路径上的报警设备,将其序号与最上游(传输情况下)故障设备序号进行比较。通过比较序数,可以很快地判断出警报是真实的还是同情的。这种方法已经用计算机模拟进行了研究。根据需要和优先次序重新配置信道和管理资源也已证明与使用这种算法是相容的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Linked-List Data Base Approach to the Control of the Digital Transmission Facilities of the Defense Communications System
An approach to the technical control of the digital transmission facilities of the defense communication system has been described by Jankaukas, Landesberg, Spector and Meyer (ref. 1). The status monitoring and performance assessment functions of that approach are interesting and the fault isolation algorithm is sound in principle. In this paper we report on the results of a study aimed at improving on that fault isolation algorithm with respect to removing certain network partitioning restrictions, decreasing processing time and making it compatible with channel reconfiguration and other resource management options. In our approach, the communications system is described in terms of two linked-list data bases, these being the equipment data base and the communication path data base. For fault isolation, the basic idea is that whenever an exception report is received, pointers from the alarmed piece of equipment point to the paths in which the equipment is located. For each such path, the equipment has an ordinal number stating its position in that path. For an alarmed equipment in a certain path, the equipment ordinal number is compared with the ordinal number of the most up-stream (in the transmission case) faulted equipment. Comparison of the ordinal numbers quickly indicates whether the alarm is real or sympathetic. This approach has been investigated using computer simulation. Channel recogfiguration and management of resources on the basis of needs and priorities have also been shown to be compatible with use of this algorithm.
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