A survey on end-edge-cloud orchestrated network computing paradigms: Transparent computing, mobile edge computing, fog computing, and cloudlet

J Ren, D Zhang, S He, Y Zhang, T Li - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
Sending data to the cloud for analysis was a prominent trend during the past decades,
driving cloud computing as a dominant computing paradigm. However, the dramatically …

A survey on mobile edge computing: The communication perspective

Y Mao, C You, J Zhang, K Huang… - … surveys & tutorials, 2017 - ieeexplore.ieee.org
Driven by the visions of Internet of Things and 5G communications, recent years have seen
a paradigm shift in mobile computing, from the centralized mobile cloud computing toward …

Resource allocation in 5G IoV architecture based on SDN and fog-cloud computing

B Cao, Z Sun, J Zhang, Y Gu - IEEE transactions on intelligent …, 2021 - ieeexplore.ieee.org
In the traditional cloud-based Internet of Vehicles (IoV) architecture, it is difficult to guarantee
the low latency requirements of the current intelligent transportation system (ITS). As a …

Collaborative cloud and edge computing for latency minimization

J Ren, G Yu, Y He, GY Li - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
By performing data processing at the network edge, mobile edge computing can effectively
overcome the deficiencies of network congestion and long latency in cloud computing …

A cooperative partial computation offloading scheme for mobile edge computing enabled Internet of Things

Z Ning, P Dong, X Kong, F **a - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
With the evolutionary development of latency sensitive applications, delay restriction is
becoming an obstacle to run sophisticated applications on mobile devices. Partial …

Joint task offloading and resource allocation for multi-server mobile-edge computing networks

TX Tran, D Pompili - IEEE Transactions on Vehicular …, 2018 - ieeexplore.ieee.org
Mobile-edge computing (MEC) is an emerging paradigm that provides a capillary
distribution of cloud computing capabilities to the edge of the wireless access network …

Offloading in mobile edge computing: Task allocation and computational frequency scaling

TQ Dinh, J Tang, QD La… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, we propose an optimization framework of offloading from a single mobile
device (MD) to multiple edge devices. We aim to minimize both total tasks' execution latency …

Energy-latency tradeoff for energy-aware offloading in mobile edge computing networks

J Zhang, X Hu, Z Ning, ECH Ngai… - IEEE Internet of …, 2017 - ieeexplore.ieee.org
Mobile edge computing (MEC) brings computation capacity to the edge of mobile networks
in close proximity to smart mobile devices (SMDs) and contributes to energy saving …

Mobile-edge computing: Partial computation offloading using dynamic voltage scaling

Y Wang, M Sheng, X Wang, L Wang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
The incorporation of dynamic voltage scaling technology into computation offloading offers
more flexibilities for mobile edge computing. In this paper, we investigate partial computation …

Energy-efficient offloading for mobile edge computing in 5G heterogeneous networks

K Zhang, Y Mao, S Leng, Q Zhao, L Li, X Peng… - IEEE …, 2016 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a promising paradigm to provide cloud-computing
capabilities in close proximity to mobile devices in fifth-generation (5G) networks. In this …