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Lianjie Shi

dblp:233/5017 · DBLP profile ↗
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4ranked-venue papers
4as first author
1since 2021 · last 2022
—ORCID · none

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

Systems, architecture and hardware · 2 · 2 first-authorComputer networks · 2 · 2 first-author · 1 since 2021

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
2 papers
Network optimization and economics · 59% Content delivery and video streaming · 23% Wireless networking · 18%

Topics — the 7 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Network optimization and economics
dynamic resource allocation
0.612022
DiFi: A Go-as-You-Pay Wi-Fi Access System · INFOCOM 2022
Network optimization and economics › resource allocation › market-based resource allocation
pricing mechanism
0.612022
DiFi: A Go-as-You-Pay Wi-Fi Access System · INFOCOM 2022
Wireless networking
WLAN
0.612022
DiFi: A Go-as-You-Pay Wi-Fi Access System · INFOCOM 2022
Content delivery and video streaming › caching
caching policy
0.412019
On Optimal Hybrid Premium Peering and Caching Purchasing Strategy of Internet Content Providers · INFOCOM 2019
Content delivery and video streaming
content delivery network
0.412019
On Optimal Hybrid Premium Peering and Caching Purchasing Strategy of Internet Content Providers · INFOCOM 2019
Network optimization and economics › resource allocation
network utility maximization
0.412019
On Optimal Hybrid Premium Peering and Caching Purchasing Strategy of Internet Content Providers · INFOCOM 2019
Network optimization and economics › network economics › internet economics
peering agreements
0.412019
On Optimal Hybrid Premium Peering and Caching Purchasing Strategy of Internet Content Providers · INFOCOM 2019

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

smart contract · 0.6dynamic pricing · 0.6optimization · 0.4game-theoretic analysis · 0.4
YearPublicationVenuePosition
2022 DiFi: A Go-as-You-Pay Wi-Fi Access System
abstract
As video streaming services become more popular, users desire high perceived video quality, which has placed more stringent requirements on the quality of connection. Existing issues of cellular networks encourage users to seek alternative connections such as public Wi-Fi networks; however, expectations of both users and owners of Wi-Fi networks are not sufficiently satisfied and various concerns are yet to be addressed by a better Wi-Fi access system. Based on a go-as-you-pay scheme, we design and implement DiFi, a per-user-based system with dynamic resource allocation and pricing. DiFi offers data burst that accommodates user requirements on the burstiness of traffic, in addition to bandwidth. It better caters to the various individual requirements of users, and better utilizes the limited network resources for the owners. We leverage the blockchain-based smart contract to address realistic concerns on decentralized control, privacy and trustiness and our implementation is compatible with existing Wi-Fi infrastructures.
Lianjie Shi, Runxin Tian, Xin Wang 0040, Richard T. B. Ma
INFOCOM1
2020 On multi-resource procurement in internet access markets: Optimal strategies and market equilibrium
Lianjie Shi, Xin Wang 0040, Richard T. B. Ma
Perform. Evaluation1
2019 On Optimal Hybrid Premium Peering and Caching Purchasing Strategy of Internet Content Providers
abstract
Increasing popularity of delay-sensitive and data-intensive online services such as video streaming has placed stronger requirements on the quality of content delivery. By negotiating premium peering agreement with an Internet service provider (ISP), a content provider (CP) is able to improve its service quality, which is beneficial for attracting end-users and increasing profits. Meanwhile, by deploying cache on its content delivery route with a proper caching mechanism, transit traffic is effectively reduced and bandwidth is saved, hence the CP can also achieve better service quality. In this paper, we study how a CP determines an optimal strategy that maximizes its utility, if both premium peering and caching are available from an ISP. We present the conditions that the CP's optimal strategy should comply with, and observe that the optimal quantity of purchasing one capacity is positively correlated to that of the other. We also find that the CP's optimal strategy indicates that the CP would purchase a moderate amount of capacity, or the maximum amount available in some case, to maximize its utility.
Lianjie Shi, Xin Wang 0040, Richard T. B. Ma
INFOCOM1
2018 Weighted fair caching: Occupancy-centric allocation for space-shared resources
Lianjie Shi, Xin Wang 0040, Richard T. B. Ma, Y. C. Tay
Perform. Evaluation1