Task offloading and resource allocation for mobile edge computing by deep reinforcement learning based on SARSA

T Alfakih, MM Hassan, A Gumaei, C Savaglio… - IEEE …, 2020 - ieeexplore.ieee.org
In recent years, computation offloading has become an effective way to overcome the
constraints of mobile devices (MDs) by offloading delay-sensitive and computation-intensive …

A novel framework for mobile-edge computing by optimizing task offloading

A Naouri, H Wu, NA Nouri, S Dhelim… - IEEE Internet of Things …, 2021 - ieeexplore.ieee.org
With the emergence of mobile computing offloading paradigms, such as mobile-edge
computing (MEC), many Internet of Things applications can take advantage of the computing …

Optimization of lightweight task offloading strategy for mobile edge computing based on deep reinforcement learning

H Lu, C Gu, F Luo, W Ding, X Liu - Future Generation Computer Systems, 2020 - Elsevier
With the maturity of 5G technology and the popularity of intelligent terminal devices, the
traditional cloud computing service model cannot deal with the explosive growth of business …

Delay-sensitive video computing in the cloud: A survey

M Abdallah, C Griwodz, KT Chen, G Simon… - ACM Transactions on …, 2018 - dl.acm.org
While cloud servers provide a tremendous amount of resources for networked video
applications, most successful stories of cloud-assisted video applications are presentational …

A collaborative mobile edge computing and user solution for service composition in 5G systems

I Al Ridhawi, M Aloqaily, Y Kotb… - Transactions on …, 2018 - Wiley Online Library
Mobile edge computing (MEC) is an emergent technology that has revolutionized traditional
cloud service solutions. Mobile edge computing extends cloud computing by providing …

Optimization of task offloading strategy for mobile edge computing based on multi-agent deep reinforcement learning

H Lu, C Gu, F Luo, W Ding, S Zheng, Y Shen - IEEE Access, 2020 - ieeexplore.ieee.org
Combined with wireless power transfer (WPT) technology, mobile edge computing can
provide continuous energy supply and computing resources for mobile devices, and …

Multi-objective accelerated particle swarm optimization with dynamic programing technique for resource allocation in mobile edge computing

T Alfakih, MM Hassan, M Al-Razgan - IEEE Access, 2021 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a powerful new technology with the potential to transform
and decentralize the way our cell phone networks currently work. The purpose of MEC is to …

[HTML][HTML] An edge server placement method based on reinforcement learning

F Luo, S Zheng, W Ding, J Fuentes, Y Li - Entropy, 2022 - mdpi.com
In mobile edge computing systems, the edge server placement problem is mainly tackled as
a multi-objective optimization problem and solved with mixed integer programming, heuristic …

[HTML][HTML] Joint offloading strategy based on quantum particle swarm optimization for MEC-enabled vehicular networks

W Shu, Y Li - Digital Communications and Networks, 2023 - Elsevier
With the development of the mobile communication technology, a wide variety of envisioned
intelligent transportation systems have emerged and put forward more stringent …

A demand-driven, proactive tasks management model at the edge

A Karanika, P Oikonomou… - … conference on fuzzy …, 2020 - ieeexplore.ieee.org
Tasks management is a very interesting research topic for various application domains.
Tasks may have the form of analytics or any other processing activities over the available …