Yaoqing Liu, Xin Zhao, Kyuhan Nam, Lan Wang, Beichuan Zhang
{"title":"增量转发表聚合","authors":"Yaoqing Liu, Xin Zhao, Kyuhan Nam, Lan Wang, Beichuan Zhang","doi":"10.1109/GLOCOM.2010.5683158","DOIUrl":null,"url":null,"abstract":"The global routing table size has been increasing rapidly, outpacing the upgrade cycle of router hardware. Recently aggregating the Forwarding Information Base (FIB) emerges as a promising solution since it reduces FIB size significantly in the short term and it is compatible with any long-term architectural solutions.Because FIB entries change dynamically with routing updates, an important component of any FIB aggregation scheme is to handle routing updates efficiently while shrinking FIB size as much as possible. In this paper, we first propose two incremental FIB aggregation algorithms based on the ORTC scheme. We then quantify the tradeoffs of the proposed algorithms, which will help operators choose the algorithms best suited for their networks.","PeriodicalId":6448,"journal":{"name":"2010 IEEE Global Telecommunications Conference GLOBECOM 2010","volume":"48 1","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2010-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":"{\"title\":\"Incremental Forwarding Table Aggregation\",\"authors\":\"Yaoqing Liu, Xin Zhao, Kyuhan Nam, Lan Wang, Beichuan Zhang\",\"doi\":\"10.1109/GLOCOM.2010.5683158\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The global routing table size has been increasing rapidly, outpacing the upgrade cycle of router hardware. Recently aggregating the Forwarding Information Base (FIB) emerges as a promising solution since it reduces FIB size significantly in the short term and it is compatible with any long-term architectural solutions.Because FIB entries change dynamically with routing updates, an important component of any FIB aggregation scheme is to handle routing updates efficiently while shrinking FIB size as much as possible. In this paper, we first propose two incremental FIB aggregation algorithms based on the ORTC scheme. We then quantify the tradeoffs of the proposed algorithms, which will help operators choose the algorithms best suited for their networks.\",\"PeriodicalId\":6448,\"journal\":{\"name\":\"2010 IEEE Global Telecommunications Conference GLOBECOM 2010\",\"volume\":\"48 1\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"31\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Global Telecommunications Conference GLOBECOM 2010\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GLOCOM.2010.5683158\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Global Telecommunications Conference GLOBECOM 2010","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GLOCOM.2010.5683158","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The global routing table size has been increasing rapidly, outpacing the upgrade cycle of router hardware. Recently aggregating the Forwarding Information Base (FIB) emerges as a promising solution since it reduces FIB size significantly in the short term and it is compatible with any long-term architectural solutions.Because FIB entries change dynamically with routing updates, an important component of any FIB aggregation scheme is to handle routing updates efficiently while shrinking FIB size as much as possible. In this paper, we first propose two incremental FIB aggregation algorithms based on the ORTC scheme. We then quantify the tradeoffs of the proposed algorithms, which will help operators choose the algorithms best suited for their networks.