Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Yuqin Ji

dblp:255/2875 · DBLP profile ↗
← Back
1ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none

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

Software engineering, systems software and programming languages · 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
Edge and fog computing · 61% Network optimization and economics · 39%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Edge and fog computing › mobile edge computing
computation offloading
0.412019
Distributed Multi-Dimensional Pricing for Efficient Application Offloading in Mobile Cloud Computing · IEEE Trans. Serv. Comput. 2019
Edge and fog computing
mobile cloud computing
0.412019
Distributed Multi-Dimensional Pricing for Efficient Application Offloading in Mobile Cloud Computing · IEEE Trans. Serv. Comput. 2019
Network optimization and economics › resource allocation › market-based resource allocation
pricing mechanism
0.412019
Distributed Multi-Dimensional Pricing for Efficient Application Offloading in Mobile Cloud Computing · IEEE Trans. Serv. Comput. 2019
Network optimization and economics
game theory
0.112019
Distributed Multi-Dimensional Pricing for Efficient Application Offloading in Mobile Cloud Computing · IEEE Trans. Serv. Comput. 2019

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

game theory · 0.4distributed price-adjustment algorithm · 0.4
YearPublicationVenuePosition
2019 Distributed Multi-Dimensional Pricing for Efficient Application Offloading in Mobile Cloud Computing
abstract
Offloading computation intensive applications to mobile cloud is promising for overcoming the problems of limited computational resources and energy of mobile devices. However, without considering the competition relationship of mobile users and cloudlets in the mobile cloud computing system, existing studies lack an incentive mechanism for the system to achieve efficient application offloading and cloud resource provisioning. In this paper, we design MPTMG, a Multi-dimensional Pricing mechanism based on Two-sided Market Game. We propose three types of prices: a multi-dimensional price corresponding to multi-dimensional resource allocation, a penalty price to encourage fair and high quality cloud services, and a benefit discount factor to motivate more even provisioning of resources on different dimensions in the cloud. Based on these prices, we propose a distributed price-adjustment algorithm for efficient resource allocation and QoS-aware offloading scheduling. We prove that the algorithm can converge in a finite number of iterations to the equilibrium core allocation at which the mobile cloud system achieves the Pareto efficiency by maximizing the total system benefit. To the best of our knowledge, this is the first paper that applies economic theories and pricing mechanisms to manage application offloading in mobile cloud systems. The simulation results demonstrate that our proposed pricing mechanism can significantly improve the system performance.
Kun Xie 0001, Xin Wang 0001, Gaogang Xie, Dongliang Xie, Jiannong Cao 0001, Yuqin Ji, Jigang Wen
IEEE Trans. Serv. Comput.6