NDLI: A Hybrid Population-Based Incremental Learning algorithm for load balancing in RPR

Content Provider	IEEE Xplore Digital Library
Author	Bernardino, A.M. Bernardino, E.M. Sánchez-Pérez, J.M. Gómez-Pulido, J.A. Vega-Rodríguez, M.A.
Copyright Year	2010
Description	Author affiliation: Department of Technologies of Computers and Communications, Polytechnic School, University of Extremadura, Cáceres, Spain (Sánchez-Pérez, J.M.; Gómez-Pulido, J.A.; Vega-Rodríguez, M.A.) \|\| Computer Science and Communication Research Centre, Department of Computer Science, School of Technology and Management, Polytechnic, Institute of Leiria, Leiria, Portugal (Bernardino, A.M.; Bernardino, E.M.)
Abstract	When managed properly, the ring networks are uniquely suited to deliver a large amount of bandwidth in a reliable and inexpensive way. An optimal load balancing is very important, because it increases the system capacity and improves the overall ring performance. An important optimisation problem in this context is the Weighted Ring Arc Loading Problem (WRALP). It consists of the design, in a communication network of a transmission route (direct path) for each request, such that high load on the ring arcs will be avoided. WRALP asks for a routing scheme such that the maximum load on the ring arcs will be minimum. In this paper we study WRALP without demand splitting and we propose a Hybrid Population-based Incremental Learning (HPBIL) to solve it. We show that HPBIL is able to achieve good solutions, improving the results obtained by previous approaches.
Starting Page	1
Ending Page	5
File Size	133759
Page Count	5
File Format	PDF
ISBN	9781424481316
e-ISBN	9781424481323
DOI	10.1109/ISABEL.2010.5702810
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-11-07
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Communication Networks Loading Weighted Ring Arc-Loading Problem Population-Based Incremental Learning SONET Probability Routing Silicon Optimisation algorithms Optimization Clocks
Content Type	Text
Resource Type	Article

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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
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