Resource scheduling in edge computing: A survey

Q Luo, S Hu, C Li, G Li, W Shi - IEEE Communications Surveys …, 2021 - ieeexplore.ieee.org
With the proliferation of the Internet of Things (IoT) and the wide penetration of wireless
networks, the surging demand for data communications and computing calls for the …

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 …

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

F Chai, Q Zhang, H Yao, X Xin, 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 …

Scheduling IoT applications in edge and fog computing environments: A taxonomy and future directions

M Goudarzi, M Palaniswami, R Buyya - ACM Computing Surveys, 2022 - dl.acm.org
Fog computing, as a distributed paradigm, offers cloud-like services at the edge of the
network with low latency and high-access bandwidth to support a diverse range of IoT …

Edge intelligence: A computational task offloading scheme for dependent IoT application

H Xiao, C Xu, Y Ma, S Yang, L Zhong… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Computational offloading, as an effective way to extend the capability of resource-limited
edge devices in Internet of Things (IoT), is considered as a promising emerging paradigm for …

Task offloading for cloud-assisted fog computing with dynamic service caching in enterprise management systems

X Dai, Z Xiao, H Jiang, M Alazab… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
In enterprise management systems (EMS), augmented Intelligence of Things (AIoT) devices
generate delay-sensitive and energy-intensive tasks for learning analytics, articulate …

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 …

Secure task offloading for MEC-aided-UAV system

P Chen, X Luo, D Guo, Y Sun, J Xie… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The promise of unmanned aerial vehicles (UAVs) combined with the mobile edge computing
(MEC), named MEC-aided-UAV extends the MEC application to offer new flexible, low …

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 …

Cache-assisted collaborative task offloading and resource allocation strategy: A metareinforcement learning approach

S Chen, L Rui, Z Gao, W Li, X Qiu - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Multiaccess edge computing (MEC) provides users with better Quality of Experience (QoE)
via offloading tasks to the nearby edge. However, the emergence of new Internet of Things …