Back to Search Start Over

Squeezing the Gap: An Empirical Study on DHCP Performance in a Large-Scale Wireless Network

Authors :
Weizhen Dang
Jinzhe Shan
Jilong Wang
Fenghua Li
Jessie Hui Wang
Jing'an Xue
Haibo Wang
Source :
IEEE/ACM Transactions on Networking. 28:832-845
Publication Year :
2020
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2020.

Abstract

Dynamic Host Configuration Protocol (DHCP) is widely used to dynamically assign IP addresses to users. However, due to little knowledge on the behavior and performance of DHCP, it is challenging to configure lease time and divide IP addresses for address pools properly in large-scale wireless networks. In this paper, we conduct the largest known measurement on the behavior and performance of DHCP in the wireless network of T University (TWLAN). We find the performance of DHCP is far from satisfactory: (1) The non-authenticated devices lead to a waste of 25% of addresses at the rush hour. (2) Address pool utilization varies greatly under the current address division strategy. (3) A device does not generate traffic for 67% of the lease time on average. Meanwhile, we observe devices of different locations and operating systems show diverse online patterns. A unified lease time setting could result in an inefficient usage of addresses. To address the problems, taking account of authentication information and online patterns, we propose a new leasing strategy. The results show it outperforms three state-of-the-art baselines and reduces the number of assigned addresses by 24% and the average total lease time by 17% without significantly increasing the DHCP server load. Besides, we further propose an adaptive address division strategy to balance the address utilization of pools, which can be deployed in parallel with the new leasing strategy and reduce the risk of address exhaustion.

Details

ISSN :
15582566 and 10636692
Volume :
28
Database :
OpenAIRE
Journal :
IEEE/ACM Transactions on Networking
Accession number :
edsair.doi...........47f4093aecd2458c34a6faed04fa310a
Full Text :
https://doi.org/10.1109/tnet.2020.2971551