Computation offloading toward edge computing

L Lin, X Liao, H Jin, P Li - Proceedings of the IEEE, 2019 - ieeexplore.ieee.org
We are living in a world where massive end devices perform computing everywhere and
everyday. However, these devices are constrained by the battery and computational …

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 …

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 …

Dynamic task offloading and resource allocation for ultra-reliable low-latency edge computing

CF Liu, M Bennis, M Debbah… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
To overcome devices' limitations in performing computation-intense applications, mobile
edge computing (MEC) enables users to offload tasks to proximal MEC servers for faster …

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 …

Latency optimization for resource allocation in mobile-edge computation offloading

J Ren, G Yu, Y Cai, Y He - IEEE Transactions on Wireless …, 2018 - ieeexplore.ieee.org
By offloading intensive computation tasks to the edge cloud located at the cellular base
stations, mobile-edge computation offloading (MECO) has been regarded as a promising …

Joint task offloading, D2D pairing, and resource allocation in device-enhanced MEC: A potential game approach

T Fang, F Yuan, L Ao, J Chen - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
The emergence of intelligent applications produces the demand for computing. How to
reduce the computation pressure in mobile-edge computing (MEC) under massive …

D2D communications meet mobile edge computing for enhanced computation capacity in cellular networks

Y He, J Ren, G Yu, Y Cai - IEEE Transactions on Wireless …, 2019 - ieeexplore.ieee.org
The future 5G wireless networks aim to support high-rate data communications and high-
speed mobile computing. To achieve this goal, the mobile edge computing (MEC) and …

Joint computation offloading and resource allocation optimization in heterogeneous networks with mobile edge computing

J Zhang, W Xia, F Yan, L Shen - IEEE Access, 2018 - ieeexplore.ieee.org
In this paper, we propose a distributed joint computation offloading and resource allocation
optimization (JCORAO) scheme in heterogeneous networks with mobile edge computing …

Optimization of radio and computational resources for energy efficiency in latency-constrained application offloading

O Munoz, A Pascual-Iserte… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Providing femto access points (FAPs) with computational capabilities will allow (either total
or partial) off-loading of highly demanding applications from smartphones to the so-called …