Computation offloading in mobile edge computing networks: A survey

C Feng, P Han, X Zhang, B Yang, Y Liu… - Journal of Network and …, 2022 - Elsevier
Computation offloading is one of the key technologies in Mobile Edge Computing (MEC),
which makes up for the deficiencies of mobile devices in terms of storage resource …

Dynamic service placement in multi-access edge computing: A systematic literature review

HT Malazi, SR Chaudhry, A Kazmi, A Palade… - IEEE …, 2022 - ieeexplore.ieee.org
The advent of new cloud-based applications such as mixed reality, online gaming,
autonomous driving, and healthcare has introduced infrastructure management challenges …

Cost minimization-oriented computation offloading and service caching in mobile cloud-edge computing: An A3C-based approach

H Zhou, Z Wang, H Zheng, S He… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper considers computation offloading and service caching in a three-tier mobile
cloud-edge computing structure, in which Mobile Users (MUs) have subscribed to the Cloud …

Outdated access point selection for mobile edge computing with cochannel interference

X Lai, J Xia, L Fan, TQ Duong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this paper, we investigate a mobile edge computing (MEC) network, where the user has
some computational tasks to be assisted by multiple computational access points (CAPs) …

Joint service caching and computation offloading scheme based on deep reinforcement learning in vehicular edge computing systems

Z Xue, C Liu, C Liao, G Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is a new computing paradigm that enhances vehicular
performance by introducing both computation offloading and service caching, to resource …

Cooperative task offloading and service caching for digital twin edge networks: A graph attention multi-agent reinforcement learning approach

Z Yao, S Xia, Y Li, G Wu - IEEE Journal on Selected Areas in …, 2023 - ieeexplore.ieee.org
Mobile edge computing (MEC) enables various services to be cached in close proximity to
the user equipments (UEs), thereby reducing the service delay of many emerging …

Service caching and computation reuse strategies at the edge: A survey

C Barrios, M Kumar - ACM Computing Surveys, 2023 - dl.acm.org
With the proliferation of connected devices including smartphones, novel network
connectivity and management methods are needed to meet user Quality of Experience …

Dynamic task software caching-assisted computation offloading for multi-access edge computing

Z Chen, W Yi, AS Alam… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In multi-access edge computing (MEC), most existing task software caching works focus on
statically caching data at the network edge, which may hardly preserve high reusability due …

Digital twin-assisted URLLC-enabled task offloading in mobile edge network via robust combinatorial optimization

Y Hao, J Wang, D Huo, N Guizani… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
Digital twin (DT)-assisted mobile edge network can achieve energy-efficient task offloading
by optimizing the decision-making in real time. Although many DT-assisted task offloading …

Optimal model placement and online model splitting for device-edge co-inference

J Yan, S Bi, YJA Zhang - IEEE Transactions on Wireless …, 2022 - ieeexplore.ieee.org
Device-edge co-inference opens up new possibilities for resource-constrained wireless
devices (WDs) to execute deep neural network (DNN)-based applications with heavy …