A survey on task offloading in multi-access edge computing

A Islam, A Debnath, M Ghose, S Chakraborty - Journal of Systems …, 2021 - Elsevier
With the advent of new technologies in both hardware and software, we are in the need of a
new type of application that requires huge computation power and minimal delay …

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 …

Joint multi-task offloading and resource allocation for mobile edge computing systems in satellite IoT

F Chai, Q Zhang, H Yao, X **n, R Gao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
For multi-task mobile edge computing (MEC) systems in satellite Internet of Things (IoT),
there are dependencies between different tasks, which need to be collected and jointly …

Fast adaptive task offloading in edge computing based on meta reinforcement learning

J Wang, J Hu, G Min, AY Zomaya… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Multi-access edge computing (MEC) aims to extend cloud service to the network edge to
reduce network traffic and service latency. A fundamental problem in MEC is how to …

Reverse auction-based computation offloading and resource allocation in mobile cloud-edge computing

H Zhou, T Wu, X Chen, S He, D Guo… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
This article proposes a novel Reverse Auction-based Computation Offloading and Resource
Allocation Mechanism, named RACORAM for the mobile Cloud-Edge computing. The basic …

Deep-reinforcement-learning-based offloading scheduling for vehicular edge computing

W Zhan, C Luo, J Wang, C Wang, G Min… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Vehicular edge computing (VEC) is a new computing paradigm that has great potential to
enhance the capability of vehicle terminals (VTs) to support resource-hungry in-vehicle …

Dependent task offloading for edge computing based on deep reinforcement learning

J Wang, J Hu, G Min, W Zhan… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Edge computing is an emerging promising computing paradigm that brings computation and
storage resources to the network edge, hence significantly reducing the service latency and …

Energy-efficient dynamic computation offloading and cooperative task scheduling in mobile cloud computing

S Guo, J Liu, Y Yang, B **ao, Z Li - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Mobile cloud computing (MCC) as an emerging and prospective computing paradigm, can
significantly enhance computation capability and save energy for smart mobile devices …

Joint computation offloading and task caching for multi-user and multi-task MEC systems: reinforcement learning-based algorithms

IA Elgendy, WZ Zhang, H He, BB Gupta… - Wireless …, 2021 - Springer
Computation offloading at mobile edge computing (MEC) servers can mitigate the resource
limitation and reduce the communication latency for mobile devices. Thereby, in this study …

Computation offloading in multi-access edge computing using a deep sequential model based on reinforcement learning

J Wang, J Hu, G Min, W Zhan, Q Ni… - IEEE Communications …, 2019 - ieeexplore.ieee.org
MEC is an emerging paradigm that utilizes computing resources at the network edge to
deploy heterogeneous applications and services. In the MEC system, mobile users and …