NDLI: A cognitive decision system for heterogeneous reconfigurable optical networks

Content Provider	IEEE Xplore Digital Library
Author	Duran, R.J. De Miguel, I. Sanchez, D. Fernandez, N. Jimenez, T. Aguado, J.C. Yedugundla, V.K. Angelou, M. Merayo, N. Fernandez, P. Atallah, N. Lorenzo, R.M. Francescon, A. Tomkos, I. Abril, E.J.
Copyright Year	2012
Description	Author affiliation: CREATE-NET, Via alla Cascata 56/D Povo, 38123 Trento, Italy (Yedugundla, V.K.; Francescon, A.) \|\| University of Valladolid, ETSIT-UVa, Campus Miguel Delibes, 47011, Spain (Duran, R.J.; De Miguel, I.; Sanchez, D.; Fernandez, N.; Jimenez, T.; Aguado, J.C.; Merayo, N.; Fernandez, P.; Lorenzo, R.M.; Abril, E.J.) \|\| CEDETEL, Parque Tecnológico de Boecillo, 47151, Valladolid, Spain (Atallah, N.) \|\| Athens Information Technology, 19.5km Markopoulou Ave., 19002, Greece (Angelou, M.; Tomkos, I.)
Abstract	The European Union FP7 CHRON project addresses the challenge of controlling and managing the next generation of heterogeneous optical networks supporting the Future Internet. For that aim, the CHRON project proposes a Cognitive Heterogeneous Reconfigurable Optical Network, which observes, acts, learns and optimizes its performance. The core element of such network is the Cognitive Decision System, which makes decisions on how to deal with traffic demands and network events by using knowledge acquired from previous experience and considering the current network status. In this paper, we present the architecture of this Cognitive Decision System, and then show a set of methods developed for two of its building blocks: the Virtual Topology Design module and the Quality of Transmission (QoT) estimator module. Regarding the former module, we present two multiobjective genetic algorithms to solve the impairment-aware virtual topology design problem, and evaluate their performance under realistic traffic demands. Results show that one of the methods, which is enhanced with additional cognition, leads to better results. For the latter module, we present a cognitive QoT estimator, which achieves more than 99% successful classifications of optical connections into high or low QoT categories, and is much faster for on-line operation than an existing approach.
Starting Page	1
Ending Page	9
File Size	1179691
Page Count	9
File Format	PDF
ISBN	9781467303200
e-ISBN	9781905824304
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-04
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	IIMC Ltd
Subject Keyword	Impairmentawareness Network topology Q factor Knowledge based systems Case-based reasoning Optical fiber networks Cognition Heterogeneous networks Topology Cognitive optical networks Genetic algorithms
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Cognitive genetic algorithms to design impairment-aware virtual topologies in optical networks

Case-Based Reasoning (CBR) to estimate the Q-factor in optical networks: An initial approach

Cognitive algorithm to solve the impairment-aware virtual topology design problem in reconfigurable optical networks

A cognitive system for fast Quality of Transmission estimation in core optical networks

Enhancing optical networks with cognition: Case-Based Reasoning to estimate the quality of transmission

A Cognitive Quality of Transmission Estimator for Core Optical Networks

Optimization of the knowledge base of a cognitive quality of transmission estimator for core optical networks

Cognitive, Heterogeneous and Reconfigurable Optical Networks: The CHRON Project

Survivable and impairment-aware virtual topologies for reconfigurable optical networks: A cognitive approach

A cognitive decision system for heterogeneous reconfigurable optical networks

Similar Documents

Cognitive genetic algorithms to design impairment-aware virtual topologies in optical networks

Case-Based Reasoning (CBR) to estimate the Q-factor in optical networks: An initial approach

Cognitive algorithm to solve the impairment-aware virtual topology design problem in reconfigurable optical networks

A cognitive system for fast Quality of Transmission estimation in core optical networks

Enhancing optical networks with cognition: Case-Based Reasoning to estimate the quality of transmission

A Cognitive Quality of Transmission Estimator for Core Optical Networks

Optimization of the knowledge base of a cognitive quality of transmission estimator for core optical networks

Cognitive, Heterogeneous and Reconfigurable Optical Networks: The CHRON Project

Survivable and impairment-aware virtual topologies for reconfigurable optical networks: A cognitive approach

A cognitive decision system for heterogeneous reconfigurable optical networks