Deep reinforcement learning-based server selection for mobile edge computing

H Liu, G Cao - IEEE Transactions on Vehicular Technology, 2021 - ieeexplore.ieee.org
With Mobile Edge Computing (MEC), computational intensive applications can be offloaded
to the nearby edge servers to support latency-sensitive applications on mobile devices …

Migration-aware network services with edge computing

A Mukhopadhyay, G Iosifidis… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The development of Multi-access edge computing (MEC) has resulted from the requirement
for supporting next generation mobile services, which need high capacity, high reliability …

Resource allocation for MEC system with multi-users resource competition based on deep reinforcement learning approach

B Qu, Y Bai, Y Chu, L Wang, F Yu, X Li - Computer networks, 2022 - Elsevier
Mobile edge computing (MEC) is an effective computing paradigm for mobile devices in the
5G era to reduce computing delay and energy consumption. However, in a multi-user …

Multi-Radio Parallel Offloading in Multi-Access Edge Computing: Optimizing Load Shares, Scheduling and Capacity

A Ali, K Ali - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The future will be marked by a highly intelligent, automated, and ubiquitous digital world,
requiring fast and reliable connectivity across physical, digital, and biological realms. While …

Traffic classification for efficient load balancing in server cluster using deep learning technique

V Punitha, C Mala - The Journal of Supercomputing, 2021 - Springer
Extensive use of multimedia services and Internet Data Center applications demand
distributed deployment of these applications. It is implemented using edge computing with …

Latency-aware service migration with decision theory for Internet of Vehicles in mobile edge computing

Z Liu, X Xu - Wireless Networks, 2022 - Springer
Abstract In the Internet of Vehicles driven by mobile edge computing, the service requests
are offloaded to the roadside units (RSUs) via wireless network, reducing the service latency …

[HTML][HTML] A learning automata based edge resource allocation approach for IoT-enabled smart cities

S Sahoo, KS Sahoo, B Sahoo, AH Gandomi - Digital Communications and …, 2023 - Elsevier
The development of the Internet of Things (IoT) technology leading to a new era of smart
applications such as smart transportation, buildings, and smart homes. Moreover, these …

Mobility-aware Software-Defined Service-Centric Networking

DO Rodrigues, T Braun, G Maia… - … Conference on Computer …, 2022 - ieeexplore.ieee.org
Future Internet applications, such as the vehicular use cases, impose requirements that
challenge current networking paradigms. Hence, other networking paradigms have been …

[PDF][PDF] On Multi-Radio Multi-Server Powered Multi-Access Edge Computing

A Ali - 2023 - tara.tcd.ie
Highly intelligent, automated and ubiquitous digital world will be hallmark of the coming
decade. To achieve this, we need high-speed, highly-reliable connectivity between physical …