Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/340928
Title: Blocking probability and load balancing technique based admission control for qos provisioning in wdm networks
Researcher: Senkumar, M R
Guide(s): Chitra, K and Selvakumar, M R
Keywords: Engineering and Technology
Computer Science
Telecommunications
Load balancing
WDM
University: Anna University
Completed Date: 2020
Abstract: In fiber-optic communications, Wavelength-division Multiplexing (WDM) emerged as a dominant technology that brings out an unimaginable intelligence and scalability in the optical domain. In WDM networks, pointto-point link demands alter the overload problem of the existing network. In circuit switching networks, reducing the congestion of the wavelengths on each link is the perseverance of load balancing. Free wavelengths are required and utilized for future connection requests to manage the faults and failures, during restoration. Load balancing includes two additional problems such as light path connectivity and traffic routing problem. The problem identified for research was to gain the essential Quality of service (QoS) in all optical burst-switched WDM network. Provisioning QoS guarantees several advanced services such as transport of real-time packet that remains largely unsolved for optical backbones. The proposed method of load balancing is used to increase the QoS for lightpath organization in WDM network structure. This method use Hidden Markov Model (HMM) based on the traffic prediction along with Qos wavelength task and Virtual topology. The traffic prediction model using HMM and GRASP is used to minimize the lightpath disagreement and to balance the overload on the optical link between nodes. This work concentrates on QoS assured lightpath-routing and wavelength assignment algorithm that provides better results also in blocking probability. To enhance the indispensable QoS in lightpath establishment in WDM Networks, traffic management method, the best tool has been explained in three phases. In this first phase, in order to achieve QoS, the traffic condition of the network has been predicted using Hidden Markov Model (HMM), a stochastic signal that offers theoretical description of the signal processing system. This HMM takes future traffic load in hidden state and links loads on current traffic. In this second phase, the wavelength-ordering algorithm has been constructed. By this algorithm, it is possible to minimize the crosstalk in the network. This algorithm based on a new heuristic offline called wavelengthordering technique, which allocates the wavelength to the received requests that result in reducing the crosstalk. Through this method, an efficient result to overcome the wavelength traffic is obtained newline
Pagination: xxiii,166 p.
URI: http://hdl.handle.net/10603/340928
Appears in Departments:Faculty of Information and Communication Engineering

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11_chapter1.pdf732.56 kBAdobe PDFView/Open
12_chapter2.pdf525.52 kBAdobe PDFView/Open
13_chapter3.pdf1.6 MBAdobe PDFView/Open
14_chapter4.pdf2.19 MBAdobe PDFView/Open
15_conclusion.pdf221.15 kBAdobe PDFView/Open
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80_recommendation.pdf104.92 kBAdobe PDFView/Open
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