[HTML][HTML] Optimizing low-power task scheduling for multiple users and servers in mobile edge computing by the MUMS framework

G Li, J Li - Heliyon, 2024 - cell.com
In today's increasingly popular Internet of Things (IoT) technology, its energy consumption
issue is also becoming increasingly prominent. Currently, the application of Mobile Edge …

Joint task scheduling and energy management for heterogeneous mobile edge computing with hybrid energy supply

Y Chen, Y Zhang, Y Wu, L Qi, X Chen… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) has recently become a promising paradigm to meet the
increasing computing requirement of mobile devices, and hybrid energy supply has been …

Effective task offloading heuristics for minimizing energy consumption in edge computing

G Yin, R Chen, Y Zhang - … on Internet of Things (iThings) and …, 2022 - ieeexplore.ieee.org
Mobile edge computing (MEC) allows user devices to offload computing tasks to edge
servers, which are deployed close to users, for fast execution, short delay and energy …

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 …

Multiobjective optimization for joint task offloading, power assignment, and resource allocation in mobile edge computing

P Wang, K Li, B Xiao, K Li - IEEE internet of things journal, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) is an emerging computational paradigm for providing storage
and computing capabilities in network edge, to improve the experience of users, to shorten …

A dynamic cost model to minimize energy consumption and processing time for iot tasks in a mobile edge computing environment

JLG Gross, KJ Matteussi, JCS dos Anjos… - … Oriented Computing: 18th …, 2020 - Springer
The rapid growth of IoT devices and applications with data-intensive processing has led to
energy consumption and latency concerns. These applications tend to offload task …

Time-sensitive multi-user oriented mobile edge computing task scheduling algorithm

J Zhang, B Jiang, H Zhao, Y Xu - 2020 2nd International …, 2020 - ieeexplore.ieee.org
The Internet of Things and 5G technologies have made mobile cloud computing emerge and
develop rapidly. However, the rapid development of mobile applications requires cloud …

[HTML][HTML] EA-DFPSO: An intelligent energy-efficient scheduling algorithm for mobile edge networks

Y Lu, L Liu, J Gu, J Panneerselvam, B Yuan - Digital Communications and …, 2022 - Elsevier
Cloud data centers have become overwhelmed with data-intensive applications due to the
limited computational capabilities of mobile terminals. Mobile edge computing is emerging …

[HTML][HTML] Energy efficient computation offloading mechanism in multi-server mobile edge computing—An integer linear optimization approach

PW Khan, K Abbas, H Shaiba, A Muthanna… - Electronics, 2020 - mdpi.com
Conserving energy resources and enhancing computation capability have been the key
design challenges in the era of the Internet of Things (IoT). The recent development of …

Maximizing the number of completed tasks in MEC considering time and energy constraints

H Yu, J Liu, C Deng, C Chen, K Li - Soft Computing, 2023 - Springer
Many tasks generated by mobile user devices are computation-intensive and latency-
sensitive, such as autonomous driving and video analysis. However, due to limited energy …