Resilience and Survivability of ATM Node-Node Network Failures Using Ant Colony Swarm Intelligent Modelling

被引：0

作者：

Owoade, Ayoade Akeem ^{[1
]}

Osunmakinde, Isaac Olusegun ^{[1
]}

机构：

[1] Univ South Africa, Coll Sci Engn & Technol, Sch Comp, ZA-0003 Pretoria, South Africa

来源：

PROCEEDINGS OF THE 2016 SAI COMPUTING CONFERENCE (SAI) | 2016年

关键词：

component; Survivability; ATM; ACS; Swarm; Network; Failure; Model; Intelligence;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

With Asynchronous Transfer Mode (ATM) gaining momentum, it is very important that ATM associated or related problems such as node - node failures should be resolved in order to have maximum utilization of ATM resources with minimal failure rate. Much research has been conducted on a single failure of telecommunication networks, but not enough work has been done on multiple failures within ATM networks. This research proposes an Ant Colony swarm survivability model to resolve multiple node failure problems. Each communication flow finds a survival path in order to protect any multiple intermediate node-node failure along its working path. The resilience of the swarm model was tested on a node-node failure towards the centre and edges of an ATM network. The survival solution path from various location scenarios, demonstrates that the proposed swarm model is feasible for current business ATM applications, such as high speed broadband networks.

引用

页码：165 / 172

页数：8