Lin Zhang, Kyunghee Lee, Chan-Hyun Youn, Hwan-geun Yeo
{"title":"基于多级流量预测的光互联网自适应虚拟拓扑重构策略","authors":"Lin Zhang, Kyunghee Lee, Chan-Hyun Youn, Hwan-geun Yeo","doi":"10.1109/HPSR.2002.1024221","DOIUrl":null,"url":null,"abstract":"This paper studies the issues arising in the virtual topology reconfiguration phase of optical Internet networks. This reconfiguration process means to change the virtual topology in response to the changing traffic patterns in the higher layer. We formulate the optimal reconfiguration policy as a multi-stage decision-making problem to maximize the expected reward and cost function over an infinite horizon. To counter the continual approximation problem brought by heuristic approach, we take the traffic prediction into consideration. We propose a new heuristic reconfiguration algorithm called prediction based multi-stage reconfiguration approach to realize the optimal reconfiguration policy. Simulation results show that our reconfiguration policy significantly outperforms the conventional one, while the required physical resources are limited.","PeriodicalId":180090,"journal":{"name":"Workshop on High Performance Switching and Routing, Merging Optical and IP Technologie","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2002-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Adaptive virtual topology reconfiguration policy employing multi-stage traffic prediction in optical Internet\",\"authors\":\"Lin Zhang, Kyunghee Lee, Chan-Hyun Youn, Hwan-geun Yeo\",\"doi\":\"10.1109/HPSR.2002.1024221\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper studies the issues arising in the virtual topology reconfiguration phase of optical Internet networks. This reconfiguration process means to change the virtual topology in response to the changing traffic patterns in the higher layer. We formulate the optimal reconfiguration policy as a multi-stage decision-making problem to maximize the expected reward and cost function over an infinite horizon. To counter the continual approximation problem brought by heuristic approach, we take the traffic prediction into consideration. We propose a new heuristic reconfiguration algorithm called prediction based multi-stage reconfiguration approach to realize the optimal reconfiguration policy. Simulation results show that our reconfiguration policy significantly outperforms the conventional one, while the required physical resources are limited.\",\"PeriodicalId\":180090,\"journal\":{\"name\":\"Workshop on High Performance Switching and Routing, Merging Optical and IP Technologie\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-11-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Workshop on High Performance Switching and Routing, Merging Optical and IP Technologie\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPSR.2002.1024221\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Workshop on High Performance Switching and Routing, Merging Optical and IP Technologie","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPSR.2002.1024221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Adaptive virtual topology reconfiguration policy employing multi-stage traffic prediction in optical Internet
This paper studies the issues arising in the virtual topology reconfiguration phase of optical Internet networks. This reconfiguration process means to change the virtual topology in response to the changing traffic patterns in the higher layer. We formulate the optimal reconfiguration policy as a multi-stage decision-making problem to maximize the expected reward and cost function over an infinite horizon. To counter the continual approximation problem brought by heuristic approach, we take the traffic prediction into consideration. We propose a new heuristic reconfiguration algorithm called prediction based multi-stage reconfiguration approach to realize the optimal reconfiguration policy. Simulation results show that our reconfiguration policy significantly outperforms the conventional one, while the required physical resources are limited.