Outlier detection: Methods, models, and classification

A Boukerche, L Zheng, O Alfandi - ACM Computing Surveys (CSUR), 2020 - dl.acm.org
Over the past decade, we have witnessed an enormous amount of research effort dedicated
to the design of efficient outlier detection techniques while taking into consideration …

A survey on the computation offloading approaches in mobile edge computing: A machine learning-based perspective

A Shakarami, M Ghobaei-Arani, A Shahidinejad - Computer Networks, 2020 - Elsevier
With the rapid developments in emerging mobile technologies, utilizing resource-hungry
mobile applications such as media processing, online Gaming, Augmented Reality (AR) …

Joint computation offloading and task caching for multi-user and multi-task MEC systems: reinforcement learning-based algorithms

IA Elgendy, WZ Zhang, H He, BB Gupta… - Wireless …, 2021 - Springer
Computation offloading at mobile edge computing (MEC) servers can mitigate the resource
limitation and reduce the communication latency for mobile devices. Thereby, in this study …

A survey on the computation offloading approaches in mobile edge/cloud computing environment: a stochastic-based perspective

A Shakarami, M Ghobaei-Arani, M Masdari… - Journal of Grid …, 2020 - Springer
Fast growth of produced data from deferent smart devices such as smart mobiles, IoT/IIoT
networks, and vehicular networks running different specific applications such as Augmented …

A survey and taxonomy on task offloading for edge-cloud computing

B Wang, C Wang, W Huang, Y Song, X Qin - IEEE Access, 2020 - ieeexplore.ieee.org
Edge-cloud computing, combining the benefits of both edge computing and cloud
computing, is one of the most promising ways to address the resource insufficiency of smart …

Towards effective offloading mechanisms in fog computing

M Sheikh Sofla, M Haghi Kashani, E Mahdipour… - Multimedia Tools and …, 2022 - Springer
Fog computing is considered a formidable next-generation complement to cloud computing.
Nowadays, in light of the dramatic rise in the number of IoT devices, several problems have …

Reinforcement learning methods for computation offloading: a systematic review

Z Zabihi, AM Eftekhari Moghadam… - ACM Computing …, 2023 - dl.acm.org
Today, cloud computation offloading may not be an appropriate solution for delay-sensitive
applications due to the long distance between end-devices and remote datacenters. In …

Autonomous computation offloading and auto-scaling the in the mobile fog computing: a deep reinforcement learning-based approach

F Jazayeri, A Shahidinejad… - Journal of Ambient …, 2021 - Springer
Abstract The Fog Computing (FC) paradigm is rapidly becoming an appropriate framework
for the infrastructure related to the Internet of Things (IoT). FC can be a good framework for …

A review on the computation offloading approaches in mobile edge computing: A g ame‐theoretic perspective

A Shakarami, A Shahidinejad… - Software: Practice and …, 2020 - Wiley Online Library
In recent years, novel mobile applications such as augmented reality, virtual reality, and
three‐dimensional gaming, running on handy mobile devices have been pervasively …

Multiuser context‐aware computation offloading in mobile edge computing based on Bayesian learning automata

F Farahbakhsh, A Shahidinejad… - Transactions on …, 2021 - Wiley Online Library
Today a lot of data sensed from the environment by the Internet of things applications. These
data need to process with the lowest delay. Mobile devices (MDs) as ubiquitous tools are …