activity
20202023
most citedCooperative Service Caching and Workload Scheduling in Mobile Edge Computing

7 citations · 19 across the 5 of their papers we have counts for

collaborators

6 papers

cs.DC2023

Energy and Time-Aware Inference Offloading for DNN-based Applications in LEO Satellites

Yijie Chen, Qiyang Zhang, Yiran Zhang +2

In recent years, Low Earth Orbit (LEO) satellites have witnessed rapid development, with inference based on Deep Neural Network (DNN) models emerging as the prevailing technology f…

eess.SY2022

Towards Sustainable Satellite Edge Computing

Qing Li, Shangguang Wang, Xiao Ma +2

Recently, Low Earth Orbit (LEO) satellites experience rapid development and satellite edge computing emerges to address the limitation of bent-pipe architecture in existing satelli…

cs.NI20217 cited

From Cloud to Edge: A First Look at Public Edge Platforms

Mengwei Xu, Zhe Fu, Xiao Ma +7

Public edge platforms have drawn increasing attention from both academia and industry. In this study, we perform a first-of-its-kind measurement study on a leading public edge plat…

cs.LG2020

Hierarchical Federated Learning through LAN-WAN Orchestration

Jinliang Yuan, Mengwei Xu, Xiao Ma +3

Federated learning (FL) was designed to enable mobile phones to collaboratively learn a global model without uploading their private data to a cloud server. However, exiting FL pro…

cs.NI20205 cited

AoI-Delay Tradeoff in Mobile Edge Caching with Freshness-Aware Content Refreshing

Shan Zhang, Liudi Wang, Hongbin Luo +2

Mobile edge caching can effectively reduce service delay but may introduce information staleness, calling for timely content refreshing. However, content refreshing consumes additi…

cs.NI20207 cited

Cooperative Service Caching and Workload Scheduling in Mobile Edge Computing

Xiao Ma, Ao Zhou, Shan Zhang +1

Mobile edge computing is beneficial to reduce service response time and core network traffic by pushing cloud functionalities to network edge. Equipped with storage and computation…