C Kai, H Zhou, Y Yi, W Huang - IEEE Transactions on Cognitive …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is an emerging computing paradigm for enabling low- latency, high-bandwidth and agile mobile services by deploying computing platform at the …
X Yang, Z Fei, J Zheng, N Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
In this paper, we investigate a hybrid mobile cloud/edge computing system with coexistence of centralized cloud and mobile edge computing, which enables computation offloading and …
Mobile edge computing is beneficial for reducing service response time and core network traffic by pushing cloud functionalities to network edge. Equipped with storage and …
We consider a general multi-user mobile cloud computing system with a computing access point (CAP), where each mobile user has multiple independent tasks that may be processed …
City Internet-of-Things (IoT) applications are becoming increasingly complicated and thus require large amounts of computational resources and strict latency requirements. Mobile …
P Wang, C Yao, Z Zheng, G Sun… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
In this paper, we propose a multilayer data flow processing system, ie, EdgeFlow, to integrally utilize the computing capacity throughout the whole network, ie, the cloud center …
The promise of low latency connectivity and efficient bandwidth utilization has driven the recent shift from vehicular cloud computing (VCC) towards vehicular edge computing (VEC) …
Y Wang, X Tao, X Zhang, P Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The deployment of cloud and edge computing forms a three-tier mobile computing network, where each task can be processed locally, by the edge nodes, or by the remote cloud …
N Zhao, Z Ye, Y Pei, YC Liang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile edge computing can effectively reduce service latency and improve service quality by offloading computation-intensive tasks to the edges of wireless networks. Due to the …