使用集合关联内存进行分组处理的渐进散列

M. Hanna, Socrates Demetriades, Sangyeun Cho, R. Melhem
{"title":"使用集合关联内存进行分组处理的渐进散列","authors":"M. Hanna, Socrates Demetriades, Sangyeun Cho, R. Melhem","doi":"10.1145/1882486.1882521","DOIUrl":null,"url":null,"abstract":"As the Internet grows, both the number of rules in packet filtering databases and the number of prefixes in IP lookup tables inside the router are growing. The packet processing engine is a critical part of the Internet router as it is used to perform packet forwarding (PF) and packet classification (PC). In both applications, processing has to be at wire speed. It is common to use hash-based schemes in packet processing engines; however, the downside of classic hashing techniques such as overflow and worst case memory access time, has to be dealt with. Implementing hash tables using set associative memory has the property that each bucket of a hash table can be searched in one memory cycle outperforming the conventional Ternary CAMs in terms of power and scalability.\n In this paper we present \"Progressive Hashing\" (PH), a general open addressing hash-based packet processing scheme for Internet routers using the set associative memory architecture. Our scheme is an extension of the multiple hashing scheme and is amendable to high-performance hardware implementation with low overflow and low memory access latency. We show by experimenting with real IP lookup tables and synthetic packet filtering databases that PH reduces the overflow over the multiple hashing. The proposed PH processing engine is estimated to achieve an average processing speed of 160 Gbps for the PC application and 320 Gbps for the PF application.","PeriodicalId":329300,"journal":{"name":"Symposium on Architectures for Networking and Communications Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":"{\"title\":\"Progressive hashing for packet processing using set associative memory\",\"authors\":\"M. Hanna, Socrates Demetriades, Sangyeun Cho, R. Melhem\",\"doi\":\"10.1145/1882486.1882521\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As the Internet grows, both the number of rules in packet filtering databases and the number of prefixes in IP lookup tables inside the router are growing. The packet processing engine is a critical part of the Internet router as it is used to perform packet forwarding (PF) and packet classification (PC). In both applications, processing has to be at wire speed. It is common to use hash-based schemes in packet processing engines; however, the downside of classic hashing techniques such as overflow and worst case memory access time, has to be dealt with. Implementing hash tables using set associative memory has the property that each bucket of a hash table can be searched in one memory cycle outperforming the conventional Ternary CAMs in terms of power and scalability.\\n In this paper we present \\\"Progressive Hashing\\\" (PH), a general open addressing hash-based packet processing scheme for Internet routers using the set associative memory architecture. Our scheme is an extension of the multiple hashing scheme and is amendable to high-performance hardware implementation with low overflow and low memory access latency. We show by experimenting with real IP lookup tables and synthetic packet filtering databases that PH reduces the overflow over the multiple hashing. The proposed PH processing engine is estimated to achieve an average processing speed of 160 Gbps for the PC application and 320 Gbps for the PF application.\",\"PeriodicalId\":329300,\"journal\":{\"name\":\"Symposium on Architectures for Networking and Communications Systems\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-10-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"9\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Symposium on Architectures for Networking and Communications Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/1882486.1882521\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Symposium on Architectures for Networking and Communications Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1882486.1882521","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

摘要

随着互联网的发展,包过滤数据库中的规则数量和路由器内部IP查找表中的前缀数量都在增长。报文处理引擎是Internet路由器的重要组成部分,主要完成报文转发(PF)和报文分类(PC)的工作。在这两个应用程序中,处理都必须达到线速度。在包处理引擎中使用基于哈希的方案是很常见的;但是,必须处理经典散列技术的缺点,例如溢出和最坏情况下的内存访问时间。使用集合关联内存实现哈希表的特性是,可以在一个内存周期内搜索哈希表的每个桶,在功率和可伸缩性方面优于传统的三元CAMs。在本文中,我们提出了“渐进式哈希”(PH),一种通用的基于开放寻址哈希的数据包处理方案,用于使用集合关联存储器体系结构的互联网路由器。我们的方案是多哈希方案的扩展,适用于低溢出和低内存访问延迟的高性能硬件实现。我们通过对真实IP查找表和合成包过滤数据库的实验表明,PH减少了多个哈希的溢出。所提出的PH处理引擎估计可实现PC应用的平均处理速度为160 Gbps, PF应用的平均处理速度为320 Gbps。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Progressive hashing for packet processing using set associative memory
As the Internet grows, both the number of rules in packet filtering databases and the number of prefixes in IP lookup tables inside the router are growing. The packet processing engine is a critical part of the Internet router as it is used to perform packet forwarding (PF) and packet classification (PC). In both applications, processing has to be at wire speed. It is common to use hash-based schemes in packet processing engines; however, the downside of classic hashing techniques such as overflow and worst case memory access time, has to be dealt with. Implementing hash tables using set associative memory has the property that each bucket of a hash table can be searched in one memory cycle outperforming the conventional Ternary CAMs in terms of power and scalability. In this paper we present "Progressive Hashing" (PH), a general open addressing hash-based packet processing scheme for Internet routers using the set associative memory architecture. Our scheme is an extension of the multiple hashing scheme and is amendable to high-performance hardware implementation with low overflow and low memory access latency. We show by experimenting with real IP lookup tables and synthetic packet filtering databases that PH reduces the overflow over the multiple hashing. The proposed PH processing engine is estimated to achieve an average processing speed of 160 Gbps for the PC application and 320 Gbps for the PF application.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信