{"title":"绿色MPLS流量工程","authors":"H. Chu, C. Cheung, Kin-Hon Ho, Ningzhi Wang","doi":"10.1109/ATNAC.2011.6096644","DOIUrl":null,"url":null,"abstract":"Conserving energy consumption in the Internet has attracted much attention in recent years. During the non-peak time in daily network operations, it is possible to put a subset of routers to sleep mode for energy conservation purposes without network performance deterioration. This paper proposes a practical green traffic engineering scheme called Greedy Green MPLS Traffic Engineering Scheme (GGMTES) to save energy in multi-protocol label switching (MPLS) networks. During the non-peak time, GGMTES arranges some routers into sleep mode to save energy and re-routes all traffic for load balancing with minimum re-configuration overhead. Our simulation results show that GGMTS can save up to 15% more energy than an existing approach without network performance deterioration.","PeriodicalId":210916,"journal":{"name":"2011 Australasian Telecommunication Networks and Applications Conference (ATNAC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Green MPLS Traffic Engineering\",\"authors\":\"H. Chu, C. Cheung, Kin-Hon Ho, Ningzhi Wang\",\"doi\":\"10.1109/ATNAC.2011.6096644\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Conserving energy consumption in the Internet has attracted much attention in recent years. During the non-peak time in daily network operations, it is possible to put a subset of routers to sleep mode for energy conservation purposes without network performance deterioration. This paper proposes a practical green traffic engineering scheme called Greedy Green MPLS Traffic Engineering Scheme (GGMTES) to save energy in multi-protocol label switching (MPLS) networks. During the non-peak time, GGMTES arranges some routers into sleep mode to save energy and re-routes all traffic for load balancing with minimum re-configuration overhead. Our simulation results show that GGMTS can save up to 15% more energy than an existing approach without network performance deterioration.\",\"PeriodicalId\":210916,\"journal\":{\"name\":\"2011 Australasian Telecommunication Networks and Applications Conference (ATNAC)\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 Australasian Telecommunication Networks and Applications Conference (ATNAC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ATNAC.2011.6096644\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 Australasian Telecommunication Networks and Applications Conference (ATNAC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ATNAC.2011.6096644","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Conserving energy consumption in the Internet has attracted much attention in recent years. During the non-peak time in daily network operations, it is possible to put a subset of routers to sleep mode for energy conservation purposes without network performance deterioration. This paper proposes a practical green traffic engineering scheme called Greedy Green MPLS Traffic Engineering Scheme (GGMTES) to save energy in multi-protocol label switching (MPLS) networks. During the non-peak time, GGMTES arranges some routers into sleep mode to save energy and re-routes all traffic for load balancing with minimum re-configuration overhead. Our simulation results show that GGMTS can save up to 15% more energy than an existing approach without network performance deterioration.