Machine learning-based computation offloading in multi-access edge computing: A survey

A Choudhury, M Ghose, A Islam - Journal of Systems Architecture, 2024 - Elsevier
The advancement of technology towards the realization of the evolving mobile computing
paradigm brings a rapid paradigm shift in its usage, especially in the Internet, computation …

Task offloading based on LSTM prediction and deep reinforcement learning for efficient edge computing in IoT

Y Tu, H Chen, L Yan, X Zhou - Future Internet, 2022 - mdpi.com
In IoT (Internet of Things) edge computing, task offloading can lead to additional
transmission delays and transmission energy consumption. To reduce the cost of resources …

A survey on resource scheduling approaches in multi-access edge computing environment: a deep reinforcement learning study

AA Ismail, NE Khalifa, RA El-Khoribi - Cluster Computing, 2025 - Springer
Multi-access edge computing (MEC) brings many services closer to user devices, alleviating
the pressure on resource-constrained devices. It enables devices to offload compute …

Proof of evaluation-based energy and delay aware computation offloading for digital twin edge network

E Bozkaya, M Erel-Özçevik, T Bilen, Y Özçevik - Ad Hoc Networks, 2023 - Elsevier
The increasing availability of Internet of Things (IoT) applications has led to the development
of new technologies. Specifically, the deployment of edge servers close to IoT devices has …

Joint task offloading and dispatching for MEC with rational mobile devices and edge nodes

T Liu, D Guo, Q Xu, H Gao, Y Zhu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multi-access Edge Computing has come forth as a promising paradigm to provide low-
latency computing service to mobile end users. Its basic idea is to deploy computation …

Microservice Application Scheduling in Multi-Tiered Fog-Computing-Enabled IoT

M Ashraf, M Shiraz, A Abbasi, O Alqahtani, G Badshah… - Sensors, 2023 - mdpi.com
Fog computing extends mobile cloud computing facilities at the network edge, yielding low-
latency application execution. To supplement cloud services, computationally intensive …

WaterEdge: Edge–Cloud Collaborative Intelligent Coagulation System for Group-Level Water Treatment Plants

Y Wang, S Yang, X Ren, S Guo, C Zhao… - IEEE Systems …, 2023 - ieeexplore.ieee.org
Providing an intelligent coagulation solution for group-level water treatment plants (WTPs) is
of great significance to improve coagulation efficiency. Existing solutions are devoted to …

Data Security Aware and Effective Task Offloading Strategy in Mobile Edge Computing

Z Tong, B Liu, J Mei, J Wang, X Peng, K Li - Journal of Grid Computing, 2023 - Springer
With the research and development of 5G technology, emerging markets such as Wise
Information Technology of med, smart transportation and industrial Internet are gradually …

DRL-Based Service Function Chain Edge-to-Edge and Edge-to-Cloud Joint Offloading in Edge-Cloud Network

W Fan, F Yang, P Wang, M Miao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this paper, we study service function chain (SFC) offloading in the edge-cloud network.
Two offloading options are available for fully-loaded edge nodes: edge to edge (E2E) …

D2op: A fair dual-objective weighted scheduling scheme in internet of everything

Z Tong, B Liu, J Mei, J Wang, W Li… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
In times of the Internet of Everything (IoE), the power of the Internet is growing exponentially,
followed by a surge in the number of network requests. The conflict between people's high …