Dynamic reconfiguration and graph theory approaches to failures in IT based telecommunication networks

Abstract

For the last quarter of a century understanding of the nature of telecommunication network traffic has been considered as an important research topic. Any well designed recovery strategy has to take into account the different resilience requirements of the single traffic flows in order to avoid excessive usage of bandwidth for standby links. Faced with multiple recovery options, an internet service provider (ISP) must decide which flows to protect to what extent against networks. Traditional techniques and models used to determine the availability and failure rates of telecommunications networks are based on classic failure models such as Mean-time between failure and Mean-time between service outage predictors. Network failures occur for many different reasons and occur in many different forms. These classic models only assume that the failure is caused by a hardware component of the network. With the widespread deployment of Internet technologies other factors that cause or contribute to failure in a telecommunications network must be explored. Two additional failure modes to existing published failure models, failure from Denial of Service attacks, and failures due to catastrophic events have been identified and defined along with an initial outline of a generalized prediction model based on Dynamic System Theory. Discussion is done on the effects of failures and survivability issues in network failures and how to overcome failures in IT based telecommunication networkE