Title :
Enhancing optical networks with cognition: Case-Based Reasoning to estimate the quality of transmission
Author :
Jiménez, Tamara ; Aguado, Juan Carlos ; De Miguel, Ignacio ; Durán, Ramón J. ; Fernández, Natalia ; Angelou, Marianna ; Sánchez, David ; Merayo, Noemí ; Fernández, Patricia ; Atallah, Neftis ; Lorenzo, Rubén ; Tomkos, Ioannis ; Abril, Evaristo J.
Author_Institution :
Univ. of Valladolid, Valladolid, Spain
Abstract :
Connections established in optical fiber networks should comply with Quality of Transmission (QoT) requirements. Hence, tools to predict the QoT of those connections, before establishing them, are required. In this paper, we propose a cognitive QoT estimator, based on Case-Based Reasoning (CBR), which achieves more than 98% successful classifications of optical connections into high or low QoT categories, and is much faster for on-line operation (around three orders of magnitude) than an existing approach. Moreover, we also evaluate the performance of two algorithms to determine the relevance of the attributes of the cases which are stored in the knowledge base of the CBR system.
Keywords :
Q-factor; case-based reasoning; optical fibre networks; pattern classification; quality of service; telecommunication computing; telecommunication network reliability; CBR system knowledge base; Q-factor; Quality of Transmission requirements; case-based reasoning; cognition; cognitive QoT estimator; optical connection classification; optical fiber network; transmission quality estimation; Classification algorithms; Cognition; Databases; Knowledge based systems; Optical fiber networks; Optical fibers; Training; Case-Based Reasoning (CBR); Quality of Transmission (QoT); wavelength-routed optical network;
Conference_Titel :
Cognitive Methods in Situation Awareness and Decision Support (CogSIMA), 2012 IEEE International Multi-Disciplinary Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4673-0343-9
DOI :
10.1109/CogSIMA.2012.6188373
