The aim of this thesis is to propose an algorithmic approach, which allows to treat the problems of adaptive routing (AR) in telecommunication networks with irregular traffic. The analysis of the existing approaches has lead us to base our work on the Q-Routing (QR) algorithm. This algorithm uses a reinforcement learning technique which is based on Markov models. The efficiency of these routing...

Routing is one of the basic parts of a message passing multiprocessor system. The routing procedure has a great impact on the efficiency of a system. Neural algorithms that are currently in use for computer networks require a large number of neurons. If a specific topology of a multiprocessor network is considered, the number of neurons can be reduced. In this paper a new recurrent neural ne...

Broadband communications are concerned with various types of failures, varying from single link failures such as fibre cuts, inline equipment breakdown to multiple network failures which significantly affects the backbone of the Internet. Alternative routing schemes and backup metholodgy is needed to recovery from link failures. In this paper we propose a multipath routing schemes for various l...

Routing is one of the basic parts of a message passing multiprocessor system. The routing procedure has a great impact on the efficiency of a system. Neural algorithms that are currently in use for computer networks require a large number of neurons. If a specific topology of a multiprocessor network is considered, the number of neurons can be reduced. In this paper a new recurrent neural ne...

Telecommunication Networks Under Survivability Constraints Sonia Haddad Alexandre Laugier Jean-Fran cois Maurras Abstract We present two models for the following telecommunication network design problem: given point-to-point tra c demands, a network topology and a continuous cost/capacity function for each link, nd the minimum cost capacity satisfying the given demands and the survivability req...

With the increasing frequency of natural disasters and intentional attacks that challenge communication networks, vulnerability to cascading and regional-correlated challenges is escalating. Given the high complexity and large traffic load of communication networks, these correlated challenges cause substantial damage to reliable network communication. In this work, we extend the GeoDivRP routi...

The problems and methods for adaptive control and multi-agent processing of information in global telecommunication and computer networks (TCN) are discussed. Criteria for controllability and communication ability (routing ability) of dataflows are described. Multi-agent model for exchange of divided information resources in global TCN has been suggested. Peculiarities for adaptive and intellig...

This tutorial is devoted to the notion of Max-Min Fairness (MMF), associated optimization problems, and their applications to multi-commodity flow networks. We first introduce a theoretical background for the MMF problem and discuss its relation to lexicographic optimization. We next present resolution algorithms for the MMF optimization, and then give some applications to telecommunication net...

This paper deals with the Optical connections with FPGAs are possible. Here Flow routing method with wavelength conversion is studied, discussed, analyzed and simulated in VHDL Language. The function of the proposed circuit is to reduce the amount of corrupted flows for the first time. With the emergence of new broadband telecommunication services and constantly increasing bandwidth demand, fix...