A Self-diagnosis Algorithm Based on Causal Graphs

被引：0

作者：

Lit, Jingxian ^{[1
]}

Dousson, Christophe ^{[1
]}

Krief, Francine ^{[2
]}

机构：

[1] Orange Labs, 2 Ave Pierre Marzin, F-22300 Lannion, France

[2] Univ Bordeaux 1, LaBRI, F-33405 Talence, France

来源：

PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON AUTONOMIC AND AUTONOMOUS SYSTEMS (ICAS 2011) | 2011年

关键词：

diagnosis algorithm; causal graph; distri-bution; self-diagnosis;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The concept of autonomic networking has been introduced to facilitate network management that is increasingly complex. It uses a closed control loop proposed by the autonomic computing. Obviously, this approach relies on a distributed architecture. This implies that the diagnosis algorithms have to be distributed in order to satisfy autonomic architecture requirements. In this paper we describe novel algorithms regarding the use of causal graph model to perform diagnosis distribution in telecommunication networks.

引用

页码：146 / 151

页数：6

共 13 条

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