most citedMulti-Task Offloading over Vehicular Clouds under Graph-based Representation

5 citations · 13 across the 4 of their papers we have counts for

collaborators

5 papers

cs.NI20201 cited

Learning-Based Joint User-AP Association and Resource Allocation in Ultra Dense Network

Zhipeng Cheng, Minghui LiWangy, Ning Chen +3

With the advantages of Millimeter wave in wireless communication network, the coverage radius and inter-site distance can be further reduced, the ultra dense network (UDN) becomes…

cs.DC20203 cited

A Truthful Auction for Graph Job Allocation in Vehicular Cloud-assisted Networks

Zhibin Gao, Minghui LiWang, Seyyedali Hosseinalipour +2

Vehicular cloud computing has emerged as a promising solution to fulfill users' demands on processing computation-intensive applications in modern driving environments. Such applic…

cs.DC20204 cited

Energy-aware Allocation of Graph Jobs in Vehicular Cloud Computing-enabled Software-defined IoV

Minghui LiWang, Zhibin Gao, Seyyedali Hosseinalipour +2

Software-defined internet of vehicles (SDIoV) has emerged as a promising paradigm to realize flexible and comprehensive resource management, for next generation automobile transpor…

cs.DC20195 cited

Multi-Task Offloading over Vehicular Clouds under Graph-based Representation

Minghui Liwang, Zhibin Gao, Seyyedali Hosseinalipour +1

Vehicular cloud computing has emerged as a promising paradigm for realizing user requirements in computation-intensive tasks in modern driving environments. In this paper, a novel…

cs.NI2019

Allocation of Computation-Intensive Graph Jobs over Vehicular Clouds in IoV

Minghui LiWang, Seyyedali Hosseinalipour, Zhibin Gao +3

Graph jobs represent a wide variety of computation-intensive tasks in which computations are represented by graphs consisting of components (denoting either data sources or data pr…