{"title":"FlashTrie:用于超过100Gbps的IP路由查找的基于哈希的前缀压缩Trie","authors":"M. Bando, H. J. Chao","doi":"10.1109/INFCOM.2010.5462142","DOIUrl":null,"url":null,"abstract":"It is becoming apparent that the next generation IP route lookup architecture needs to achieve speeds of 100-Gbps and beyond while supporting both IPv4 and IPv6 with fast real-time updates to accommodate ever-growing routing tables. Some of the proposed multibit-trie based schemes, such as Tree Bitmap, have been used in today's high-end routers. However, their large data structure often requires multiple external memory accesses for each route lookup. A pipelining technique is widely used to achieve high-speed lookup with a cost of using many external memory chips. Pipelining also often leads to poor memory load-balancing. In this paper, we propose a new IP route lookup architecture called FlashTrie that overcomes the shortcomings of the multibit-trie based approach. We use a hash-based membership query to limit off-chip memory accesses per lookup to one and to balance memory utilization among the memory modules. We also develop a new data structure called Prefix-Compressed Trie that reduces the size of a bitmap by more than 80%. Our simulation and implementation results show that FlashTrie can achieve 160-Gbps worst-case throughput while simultaneously supporting 2-M prefixes for IPv4 and 279-k prefixes for IPv6 using one FPGA chip and four DDR3 SDRAM chips. FlashTrie also supports incremental real-time updates.","PeriodicalId":259639,"journal":{"name":"2010 Proceedings IEEE INFOCOM","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"50","resultStr":"{\"title\":\"FlashTrie: Hash-based Prefix-Compressed Trie for IP Route Lookup Beyond 100Gbps\",\"authors\":\"M. Bando, H. J. Chao\",\"doi\":\"10.1109/INFCOM.2010.5462142\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"It is becoming apparent that the next generation IP route lookup architecture needs to achieve speeds of 100-Gbps and beyond while supporting both IPv4 and IPv6 with fast real-time updates to accommodate ever-growing routing tables. Some of the proposed multibit-trie based schemes, such as Tree Bitmap, have been used in today's high-end routers. However, their large data structure often requires multiple external memory accesses for each route lookup. A pipelining technique is widely used to achieve high-speed lookup with a cost of using many external memory chips. Pipelining also often leads to poor memory load-balancing. In this paper, we propose a new IP route lookup architecture called FlashTrie that overcomes the shortcomings of the multibit-trie based approach. We use a hash-based membership query to limit off-chip memory accesses per lookup to one and to balance memory utilization among the memory modules. We also develop a new data structure called Prefix-Compressed Trie that reduces the size of a bitmap by more than 80%. Our simulation and implementation results show that FlashTrie can achieve 160-Gbps worst-case throughput while simultaneously supporting 2-M prefixes for IPv4 and 279-k prefixes for IPv6 using one FPGA chip and four DDR3 SDRAM chips. FlashTrie also supports incremental real-time updates.\",\"PeriodicalId\":259639,\"journal\":{\"name\":\"2010 Proceedings IEEE INFOCOM\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"50\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Proceedings IEEE INFOCOM\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFCOM.2010.5462142\",\"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 Proceedings IEEE INFOCOM","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFCOM.2010.5462142","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
FlashTrie: Hash-based Prefix-Compressed Trie for IP Route Lookup Beyond 100Gbps
It is becoming apparent that the next generation IP route lookup architecture needs to achieve speeds of 100-Gbps and beyond while supporting both IPv4 and IPv6 with fast real-time updates to accommodate ever-growing routing tables. Some of the proposed multibit-trie based schemes, such as Tree Bitmap, have been used in today's high-end routers. However, their large data structure often requires multiple external memory accesses for each route lookup. A pipelining technique is widely used to achieve high-speed lookup with a cost of using many external memory chips. Pipelining also often leads to poor memory load-balancing. In this paper, we propose a new IP route lookup architecture called FlashTrie that overcomes the shortcomings of the multibit-trie based approach. We use a hash-based membership query to limit off-chip memory accesses per lookup to one and to balance memory utilization among the memory modules. We also develop a new data structure called Prefix-Compressed Trie that reduces the size of a bitmap by more than 80%. Our simulation and implementation results show that FlashTrie can achieve 160-Gbps worst-case throughput while simultaneously supporting 2-M prefixes for IPv4 and 279-k prefixes for IPv6 using one FPGA chip and four DDR3 SDRAM chips. FlashTrie also supports incremental real-time updates.