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Efficient algorithms for collecting the statistics of large-scale IP address data

Hui Liu¹, Yi Cao¹, Zehan Cai¹, Hua Mao² and Jie Chen³

1. College of Electronic and Information, Foshan Polytechnic,
   Foshan 528137, P.R. China
   lxyliuhui@163.com, {cycaoyi, lxyliuhui}@hotmail.com
2. Department of Computer and Information Sciences, Northumbria University,
   Newcastle, NE1 8ST, U.K.
   hua.mao@northumbria.ac.uk
3. College of Computer Science, Sichuan University,
   Chengdu 610065, P.R. China
   chenjie2010@scu.edu.cn

Abstract

Compiling the statistics of large-scale IP address data is an essential task in network traffic measurement. The statistical results are used to evaluate the potential impact of user behaviors on network traffic. This requires algorithms that are capable of storing and retrieving a high volume of IP addresses within time and memory constraints. In this paper, we present two efficient algorithms for collecting the statistics of large-scale IP addresses that balance time efficiency and memory consumption. The proposed solutions take into account the sparse nature of the statistics of IP addresses while maintaining a dynamic balance among layered memory blocks. There are two layers in the first proposed method, each of which contains a limited number of memory blocks. Each memory block contains 256 elements of size 256 × 8 bytes for a 64-bit system. In contrast to built-in hash mapping functions, the proposed solution completely avoids expensive hash collisions while retaining the linear time complexity of hash-based solutions. Moreover, the mechanism dynamically determines the hash index length according to the range of IP addresses, and can balance the time and memory constraints. In addition, we propose an efficient parallel scheme to speed up the collection of statistics. The experimental results on several synthetic datasets show that the proposed method substantially outperforms the baselines with respect to time and memory space efficiency.

Key words

large-scale IP addresses, memory blocks, hash table, sorting, network traffic

How to cite

Liu, H., Cao, Y., Cai, Z., Mao, H., Chen, J.: Efficient algorithms for collecting the statistics of large-scale IP address data. Computer Science and Information Systems