An Efficient Network Utilization Scheme for Optical Burst Switched Networks

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Author(s): Rajneesh Randhawa (Regional Institute of Management and Computer Sciences, India), J.S. Sohal (Ludhiana College of Engineering and Technology, India), Amit Kumar Garg (Shri Mata Vaishno Devi University (J&K), India) and R. S. Kaler (Thapar University, India)
Copyright: 2010
Volume: 3
Issue: 2
Pages: 16
Source title: Journal of Information Technology Research (JITR)
Editor(s)-in-Chief: George Magoulas (University of London/Birkbeck College), Farid Meziane (University of Salford), Maoguo Gong (Xidian University), Dorel Picovici (University of Limerick), Phillip Olla (Madonna University), Weijun Zheng (University of Wisconsin Parkside), Norshidah Mohamed (Universiti Teknologi Malaysia), Brian Whitworth (Massey University), Jens Lehmann (Universität Leip), Anthony Duben (Stephen F. Austin State University), Sukumar Senthilkumar (Universiti Sains Malaysia), Amanda Spink (Queensland University of Technology), Ada Scupola (Rosklida University), Stephen M. Mutula (University of Kwazulu Natal), Samee Ullah Khan (North Dakota State University), Mohamed Daassi (University of François Rabelais), Patrick J. Brézillon (University Pierre et Marie Curie (UPMC)), Schubert S.B. Foo (Nanyang Technological University), Adel A. Al-Jumaily (University of Technology), Thomas Mandl (University of Hildesheim), Payam Hanafizadeh (Allameh Tabataba'i University), Giulio Concas (University of Cagliari), Abhijit Chaudhury (Bryant University), Suash Deb (C.V. Raman College of Engineering), Suash Deb (C.V. Raman College of Engineering), Vishal Bhatnagar (Ambedkar Institute of Advance Communication Technologies & Research, India), Jen-Yao Chung (IBM Research), Hepu Deng (RMIT University), Wen-Chen Hu (University of North Dakota), Flavio Soares Correa Da Silva (Universidade de Sao Paulo), Souren Paul (Nova Southeastern University), Chao Wang (Oak Ridge National Laboratory), Steven Sheng-Uei Guan (Xian Jiatong-Liverpool University), Joao Miguel Fernandes (Universidade do Minho), Hongwei Mo (Harbin Engineering University), Juliette Rouchier (GERQAM, CNRS.), Yousif Mustafa (Union College), Ali Al Sanousi (Harvard Medical School), Shawn D. Long (The University of North Carolina at Charlotte), Panayotis E. Fouliras (University of Macedonia), Sheng Uei DUPE Guan (Xian Jiatong-Liverpool University), Jari Salo (University of Oulu), Tom Gross, Wei-Chiang Samuelson Hong (Oriental Institute of Technology), Robert Owen (Texas A&M University-Texarkana), Steve Brady Goschnick (University of Melbourne), Bernie Garrett (The University of British Columbia, Canada), Dick Hartley (manchester metropolitan university), Shadrack Katuu (International Atomic Energy Agency), Christos Schizas (University of Cyprus), Oscar Corcho (Universidad Politécnica de Madrid, Spain), P. Dhavachelvan (Pondicherry University, India), Mehdi Khosrow-Pour (Information Resources Management Association, USA), Ariffin Abdul Mutalib and Zeeshan Ahmed
DOI: 10.4018/jitr.2010040103
ISSN: 1938-7857
EISSN: 1938-7865

Keywords: Information Resources Management / Information Science Reference / Library and Information Science

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Abstract

Optical Burst Switching (OBS) is one of the most important switching technologies for future IP over wavelength division multiplexing (WDM) networks. In OBS Network, the burst assembly technique is a challenging issue in the implementation of the system. Burst assembly influences burst characteristics, which negatively impacts network performance. In this paper, the authors propose an efficient hybrid burst assembly approach, which is based on approximate queuing network model. To reduce the time complexity, an approximate queuing network model has been considered. Throughput performance has been investigated, taking into account both burst loss probability and time complexity. Simulation results have shown that the proposed hybrid approach based on variable burst length threshold and fixed maximum time limitation provides Simulation results have also shown a good trade-off between burst blocking performance and scheduling time.

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