##plugins.themes.academic_pro.article.sidebar##

Download
pdf
Statistic
Read Counter : 250 Download : 220

##plugins.themes.academic_pro.article.main##

Abstract

Packet classification is a crucial function in computer networks that involves identifying packets based on specific criteria, such as source and destination IP addresses, protocol type, and port numbers. Various packet classification techniques have been proposed over the years, each with its own strengths and weaknesses. In this paper, we provide a brief overview of packet classification techniques used in computer networks, including decision-tree-based algorithms, bit-vector-based algorithms, hash-based algorithms, and others. We compare and contrast these algorithms based on their performance characteristics, complexity, and scalability. Finally, we discuss future directions for research in packet classification and conclude with a summary of the key takeaways

Keywords

packet classification computer network decision-tree-based algorithms

##plugins.themes.academic_pro.article.details##

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite
Tuyboyov Oybek Valijonovich, & Nuriddin Safoev. (2023). A Brief Overview of Packet Classification Techniques in Computer Networks. Texas Journal of Engineering and Technology, 18, 60–62. Retrieved from https://zienjournals.com/index.php/tjet/article/view/3631

References

  1. Bestavros, A. (1998). Packet classification for high-speed networks. Computer Networks and ISDN Systems, 30(22-23), 2007-2019.
  2. Estan, C., & Varghese, G. (2003). New directions in traffic measurement and accounting. Proceedings of the 2003 ACM SIGCOMM conference on Internet measurement, 139-152.
  3. Gupta, A., & McKeown, N. (2001). Packet classification on multiple fields. ACM SIGCOMM Computer Communication Review, 31(4), 147-160.
  4. Luo, H., Zhang, M., & Vasilakos, A. V. (2016). A survey of inter-domain packet filtering techniques. IEEE Communications Surveys & Tutorials, 18(1), 551-573.
  5. Misra, R., Wood, T., & Venkataramani, A. (2004). Packet classification algorithms: From theory to practice. IEEE/ACM Transactions on Networking, 12(2), 202-216.
  6. Xu, Y., & Bao, F. (2006). A survey of packet classification techniques. ACM Computing Surveys (CSUR), 38(1), 1-31.
  7. Yu, L., Rexford, J., & Chiang, M. (2006). Algorithms for internet traffic engineering via end-to-end measurements. IEEE/ACM Transactions on Networking, 14(5), 961-974.
  8. Choudhury, S. R., & Jacob, L. (2009). Bit vector algorithms for packet classification. ACM Computing Surveys (CSUR), 41(1), 1-34.
  9. Luo, H., Lu, S., Zhang, H., & Li, H. (2005). Space-efficient packet classification algorithms. IEEE/ACM Transactions on Networking, 13(2), 427-438.
  10. Puddu, P., Blefari-Melazzi, N., & Salsano, S. (2003). Scalable packet classification for the next generation internet. Computer Communications, 26(2), 199-211.
  11. Wang, W., Zhang, L., & Zheng, H. (2012). A survey of packet classification algorithms on FPGA. Journal of Network and Computer Applications, 35(3), 817-824.
  12. Zhang, H., Lu, S., & Bhattacharya, S. (2002). A linear-time probabilistic packet classifier. Proceedings of the 2002 ACM SIGCOMM conference on Internet measurement, 1-14.
  13. Zhang, M., Luo, H., Li, Y., & Li, X. (2012). Survey on packet classification algorithms. Journal of Computer Science and Technology, 27(1), 34-54.