Artificial intelligent multi-access edge computing servers management

G Fragkos, S Lebien, EE Tsiropoulou - IEEE Access, 2020 - ieeexplore.ieee.org
The advances of multi-access edge computing (MEC) have paved the way for the integration
of the MEC servers, as intelligent entities into the Internet of Things (IoT) environment as well …

Price and risk awareness for data offloading decision-making in edge computing systems

G Mitsis, EE Tsiropoulou… - IEEE Systems …, 2022 - ieeexplore.ieee.org
The proliferation of multiaccess edge computing (MEC) paradigm has created a challenging
multiuser–multiserver–multiaccess edge computing competitive environment, which brings …

Cloud service selection in IoFT-enabled Multi-access Edge Computing: a Game Theoretic approach

SY Brahimi, F Mouffak, FZ Bousbaa… - Annals of …, 2023 - Springer
Abstract Nowadays, Multi-access Edge Computing (MEC) and Internet of Flying Things
(IoFT) clouds are attracting significant attention from both academic and industrial research …

Risk-aware data offloading in multi-server multi-access edge computing environment

PA Apostolopoulos, EE Tsiropoulou… - IEEE/ACM …, 2020 - ieeexplore.ieee.org
Multi-access Edge Computing (MEC) has emerged as a flexible and cost-effective paradigm,
enabling resource constrained mobile devices to offload, either partially or completely …

Actions at the edge: Jointly optimizing the resources in multi-access edge computing

Y Deng, X Chen, G Zhu, Y Fang… - IEEE wireless …, 2022 - ieeexplore.ieee.org
Multi-access edge computing (MEC) is an emerging paradigm that pushes resources for
sensing, communications, computing, storage, and intelligence to the premises closer to the …

Game-theoretic learning-based QoS satisfaction in autonomous mobile edge computing

PA Apostolopoulos, EE Tsiropoulou… - 2018 global …, 2018 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) has arisen as an effective computation paradigm to deal
with the advanced application requirements in Internet of Things (IOT). In this paper, we treat …

Enhanced resource allocation in mobile edge computing using reinforcement learning based MOACO algorithm for IIOT

S Vimal, M Khari, N Dey, RG Crespo… - Computer …, 2020 - Elsevier
The Mobile networks deploy and offers a multiaspective approach for various resource
allocation paradigms and the service based options in the computing segments with its …

Online optimal service selection, resource allocation and task offloading for multi-access edge computing: A utility-based approach

W Chu, P Yu, Z Yu, JCS Lui… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Multi-access edge computing promises satisfactory user experience by offloading tasks to
the MEC server deployed at the network edge. However, since the MEC server is often …

Reputation based attacker identification policy for multi-access edge computing in internet of things

YS Sandal, AE Pusane, GK Kurt… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
In the recent years, there has been an explosive growth of smart devices applications with
high computational demands and critical latency. The Internet of Things (IoT) multi-access …

Artificial intelligence enabled distributed edge computing for Internet of Things applications

G Fragkos, EE Tsiropoulou… - 2020 16th international …, 2020 - ieeexplore.ieee.org
Artificial Intelligence (AI) based techniques are typically used to model decision making in
terms of strategies and mechanisms that can result in optimal payoffs for a number of …