most citedQUICK: QoS-guaranteed Efficient Cloudlet Placement in Wireless Metropolitan Area Networks

40 citations · 81 across the 6 of their papers we have counts for

collaborators

6 papers

cs.DC2018

Energy-Efficient Offloading in Mobile Edge Computing with Edge-Cloud Collaboration

Xin Long, Jigang Wu, Long Chen

Multiple access mobile edge computing is an emerging technique to bring computation resources close to end mobile users. By deploying edge servers at WiFi access points or cellular…

cs.NI2018★ 1 cited

Coalitional Game Based Carpooling Algorithms for Quality of Experience

Jiale Huang, Jigang Wu, Long Chen

Carpooling service is an effective solution to balance the limited number of taxicabs and the soaring demands from users, Thus, how to motivate more passengers to participate in ca…

cs.NI2018★ 40 cited

QUICK: QoS-guaranteed Efficient Cloudlet Placement in Wireless Metropolitan Area Networks

Long Chen, Jigang Wu, Gangqiang Zhou +1

This article defines the QoS-guaranteed efficient cloudlet deploy problem in wireless metropolitan area network, which aims to minimize the average access delay of mobile users i.e…

cs.NI2018

Efficient Three-stage Auction Schemes for Cloudlets Deployment in Wireless Access Network

Gangqiang Zhou, Jigang Wu, Long Chen +2

Cloudlet deployment and resource allocation for mobile users (MUs) have been extensively studied in existing works for computation resource scarcity. However, most of them failed t…

cs.NI2017★ 26 cited

TARCO: Two-Stage Auction for D2D Relay Aided Computation Resource Allocation in Hetnet

Long Chen, Jigang Wu, Xinxiang Zhang

In heterogeneous cellular network, task scheduling for computation offloading is one of the biggest challenges. Most works focus on alleviating heavy burden of macro base stations…

cs.NI2017★ 14 cited

ENGINE:Cost Effective Offloading in Mobile Edge Computing with Fog-Cloud Cooperation

Long Chen, Jigang Wu, Xin Long +1

Mobile Edge Computing (MEC) as an emerging paradigm utilizing cloudlet or fog nodes to extend remote cloud computing to the edge of the network, is foreseen as a key technology tow…