Deadline aware and energy-efficient scheduling algorithm for fine-grained tasks in mobile edge computing

A Lakhan, MA Mohammed… - … Journal of Web …, 2022 - inderscienceonline.com
These days, more and more web are converting into mobile devices such as the internet of
things (IoT). These applications are distributed in nature and installed on mobile and servers …

Reinforcement learning-based optimization for mobile edge computing scheduling game

T Wang, B Lu, W Wang, W Wei… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Task scheduling on edge computing servers is a critical concern affecting user experience.
Current scheduling methods attain an overall appealing performance through centralized …

Reinforcement learning empowered multi-AGV offloading scheduling in edge-cloud IIoT

P Liu, Z Liu, J Wang, Z Wu, P Li, H Lu - Journal of Cloud Computing, 2022 - Springer
The edge-cloud computing architecture has been introduced to industrial circles to ensure
the time constraints for industrial computing tasks. Besides the central cloud, various …

A truthful auction for green continuous task allocation and pricing in edge computing

Y Liu, D Zhang, X Shao, K Yu… - ICC 2023-IEEE …, 2023 - ieeexplore.ieee.org
With the advent of edge computing, more and more tasks are offloaded to edge servers, but
the computing and storage capabilities of edge servers are limited. Although some works …

[PDF][PDF] Simulate IoT Towards the Cloud-to-Thing Continuum Paradigm for Task Scheduling Assessments.

JA Barriga, JM Chaves-González, A Barriga, P Alonso… - J. Object Technol., 2023 - jot.fm
Aiming to optimise the performance of the computing layers of Internet of Things (IoT)
systems, one of the most widespread techniques is the well-known task scheduling. Not only …

Deep reinforcement learning based utility optimization algorithm for heterogeneous task in mobile edge computing system

J Mao, W Liao, C Tan, H Liu… - IEICE Transactions on …, 2024 - ieeexplore.ieee.org
Mobile edge computing (MEC) deploys storage and computing resources at the network
edge to handle critical applications that are latency-sensitive and computing-intensive …