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Design And Simulated Implementation Of Differentiated Business Sense RWA Based On Wavelength Layer Graph

Posted on:2016-07-03Degree:MasterType:Thesis
Country:ChinaCandidate:W H CaiFull Text:PDF
GTID:2428330542989375Subject:Communication and Information System
Abstract/Summary:PDF Full Text Request
Intelligent optical networks emerged with the rapid development of optical communication technology,Intelligent optical network take control plane and distributed network management system organically unifies in together,form with software as the core,not only can perceive network and user service requirements,also can provide business on-demand directly from the light layer.The network congestion problem is an important indicator to impact the performance of network.How to control the network congestion and implement differentiated business on network is one of the core problems in IONs.This thesis studies the differentiated business based on the wavelength layered graph model in the IONs and puts forward some designs.First of all,In order to avoid the wavelength continuity constraint,this thesis introduces wavelength layered graph for business routing and wavelength assignment.In order to make the path algorithm more reasonable for business distribution,this thesis introduces dynamic weight based on wavelength layered graph,spits the dynamic weight into criticality weights and load degree weights two parts based on the wavelength layered graph.Secondly,in order to support the differentiated services in IONs,the thesis introduces wavelength grouping strategy based on the wavelength layered graph.The thesis designed a differentiated business routing and wavelength assignment algorithm which based on LBWL.Through take wavelength layer divided into three groups,corresponding to the network of high,medium and low three levels of business,also set a high-priority business can occupy unused resources of the low-priority business.Thirdly,in order to guarantee high priority business performance at the same time,further reduce the blocking rate of low priority business.The thesis designed Wavelength Grouping and Wavelength Buffering algorithm which is based on LBWL algorithm(for short LWGB).In low load area to set aside part of resources,to release it in high load areas,business blocking performance will be improved.Finally,this thesis simulated these three routing and wavelength assignment algorithms,and then compared and analyzed the performance with other solutions.The simulation results show the RWA algorithm of wavelength layered graph based on load balance achieved an outstanding performance of the network improvement compared with the existing D+FF algorithm,the blocking probability reduces 12%;the RWA algorithm of wavelength layered grouping stratege can reduce the blocking rate of high-priority business,the blocking probability reduces 4%;the RWA algorithm of wavelength buffering can reduce the blocking rate of high-priority business and improve the network resource utilization effectively,the blocking probability reduces 5%.
Keywords/Search Tags:intelligence optical networks, wavelength layered graph, differentiated business, wavelength layered grouping strategy, wavelength buffering
PDF Full Text Request
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