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Jinzhe Shan

dblp:265/1577 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2020
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Internet architecture and protocols · 62% Wireless networking · 38%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet architecture and protocols › naming and addressing
DHCP
0.412020
Squeezing the Gap: An Empirical Study on DHCP Performance in a Large-Scale Wireless Network · IEEE/ACM Trans. Netw. 2020
Wireless networking
large-scale wireless network
0.112020
Squeezing the Gap: An Empirical Study on DHCP Performance in a Large-Scale Wireless Network · IEEE/ACM Trans. Netw. 2020
Wireless networking
WLAN
0.112020
Squeezing the Gap: An Empirical Study on DHCP Performance in a Large-Scale Wireless Network · IEEE/ACM Trans. Netw. 2020

Methods — techniques the papers use, named apart from their topics

measurement study · 0.4adaptive leasing · 0.4
YearPublicationVenuePosition
2020 Squeezing the Gap: An Empirical Study on DHCP Performance in a Large-Scale Wireless Network
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.
Haibo Wang 0004, Hui Wang 0011, Jilong Wang 0001, Weizhen Dang, Jing'an Xue, Jinzhe Shan
IEEE/ACM Trans. Netw.7