Scalable Many-Field Packet Classification on Multi-core Processors

Packet classification matches a packet header against the predefined rules in a rule set, it is a kernel function that has been studied for decades. A recent trend in packet classification is to match a large number of packet header fields. For example, the flow table lookup in Software Defined Networking (SDN) requires 15 fields of the packet header to be examined. Another trend in packet classification is to use software-based solutions employing multi-core general purpose processors and virtual machines. Although packet classification has been widely studied, most existing solutions on multi-core systems target the classic 5-field packet classification, their performance cannot be easily scaled up for a larger number of packet header fields. In this paper, we propose a decomposition-based packet classification approach, it supports large rule sets consisting of a large number of packet header fields. We first use range-tree and hashing to search each field of the input packet header individually in parallel. The partial results from all the fields are represented by bit vectors, they are merged in parallel to produce the final packet header match. We also balance the search and merge latencies, and employ software pipelining to further enhance the overall performance. We implement our approach on state-of-the-art multi-core processors, we evaluate its performance with respect to throughput and latency for rule set size ranging from 1K to 32K. Experimental results show that, for a 32K rule set, our algorithms can achieve an average processing latency of 2000 ns per packet and an overall throughput of 30 million packets per second on a state-of-the-art 16-core platform.

[1]  Jan Korenek,et al.  Fast and scalable packet classification using perfect hash functions , 2009, FPGA '09.

[2]  Gordon J. Brebner.  Softly Defined Networking , 2012, 2012 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS).

[3]  Viktor K. Prasanna,et al.  Scalable Packet Classification on FPGA , 2012, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

[4]  Anand Rangarajan,et al.  Algorithms for advanced packet classification with ternary CAMs , 2005, SIGCOMM '05.

[5]  Teemu Koponen.  Software is the future of networking , 2012, 2012 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS).

[6]  George Varghese,et al.  Packet classification using multidimensional cutting , 2003, SIGCOMM '03.

[7]  Nick McKeown,et al.  Classifying Packets with Hierarchical Intelligent Cuttings , 2000, IEEE Micro.

[8]  George Varghese,et al.  Multiway range trees: scalable IP lookup with fast updates , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[9]  Viktor K. Prasanna,et al.  StrideBV: Single chip 400G+ packet classification , 2012, 2012 IEEE 13th International Conference on High Performance Switching and Routing.

[10]  Shan Lu,et al.  Leveraging parallelism for multi-dimensional packetclassification on software routers , 2010, SIGMETRICS '10.

[11]  David E. Taylor.  Survey and taxonomy of packet classification techniques , 2005, CSUR.

[12]  George Varghese,et al.  Multiway range trees: scalable IP lookup with fast updates , 2004, Comput. Networks.

[13]  Ioannis Papaefstathiou,et al.  A Memory-Efficient FPGA-based Classification Engine , 2008, 2008 16th International Symposium on Field-Programmable Custom Computing Machines.

[14]  Nick McKeown,et al.  Algorithms for packet classification , 2001, IEEE Netw..

[15]  Nian-Feng Tzeng,et al.  HaRP: Rapid Packet Classification via Hashing Round-Down Prefixes , 2011, IEEE Transactions on Parallel and Distributed Systems.

[16]  Jonathan S. Turner,et al.  Scalable packet classification using distributed crossproducing of field labels , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[17]  Haoyu Song,et al.  Efficient packet classification for network intrusion detection using FPGA , 2005, FPGA '05.

[18]  Julio Ortega Lopera,et al.  Accelerating OpenFlow switching with network processors , 2009, ANCS '09.

[19]  T. V. Lakshman,et al.  High-speed policy-based packet forwarding using efficient multi-dimensional range matching , 1998, SIGCOMM '98.

[20]  Pingfeng Zhong.  An IPv6 address lookup algorithm based on recursive balanced multi-way range trees with efficient search and update , 2011, 2011 International Conference on Computer Science and Service System (CSSS).

[21]  George Varghese,et al.  Packet classification for core routers: is there an alternative to CAMs? , 2003, IEEE INFOCOM 2003. Twenty-second Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428).

[22]  Haoyu Song,et al.  Fast packet classification using bloom filters , 2006, 2006 Symposium on Architecture For Networking And Communications Systems.