Virtual Topology Design and reconfiguration using cognition: Performance evaluation in case of failure

Author

Fernandez, Natalia ; Duran, Ramon ; de Miguel, Ignacio ; Merayo, N. ; Fernandez, Pilar ; Aguado, Juan Carlos ; Lorenzo, Ruben M. ; Abril, E.J. ; Palkopoulou, E. ; Tomkos, Ioannis

Author_Institution

ETSI de Telecomun., Univ. de Valladolid, Valladolid, Spain

fYear

2013

fDate

10-13 Sept. 2013

Firstpage

132

Lastpage

139

Abstract

In this paper, a new reconfiguration policy and a new algorithm for the virtual topology design, named CONGA-VTD (Cost-OptimizatioN Genetic Algorithm for Virtual Topology Design) for Wavelength-Routed Optical Networks are proposed. The objectives of both proposals are to minimize the Packet Loss Ratio (PLR) and the OPerational EXpenditures (OPEX). A simulation study is presented to demonstrate the advantages of the new techniques in both normal operation and in presence of failures. The reconfiguration policy is compared to two static ones to determine the benefits of the reconfiguration process in terms of PLR, OPEX and resources in operation.

Keywords

cognition; genetic algorithms; optical fibre networks; telecommunication network reliability; telecommunication network routing; telecommunication network topology; CONGA-VTD; OPEX; PLR; cognition; cost-optimization genetic algorithm for virtual topology design; operational expenditures; packet loss ratio; performance evaluation; reconfiguration policy; wavelength-routed optical networks; Algorithm design and analysis; Genetic algorithms; Network topology; Optical fiber networks; Optimization; Routing; Topology; Cable Failure; Genetic Algorithm; Operational Expenditures; Packet Loss Ratio (PLR); Reconfiguration; Traffic Forecasting; Virtual Topology Design;

fLanguage

English

Publisher

ieee

Conference_Titel

Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2013 5th International Congress on

Conference_Location

Almaty

ISSN

2157-0221

Print_ISBN

978-1-4799-1376-3

Type

conf

DOI

10.1109/ICUMT.2013.6798417

Filename

6798417