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Energy-Efficient Framework for Task Caching and Computation Offloading in Multi-tier Vehicular Edge-Cloud Systems
Elgendy I.A., Khakimov A., Muthanna A.
and augmented reality demands processing power beyond traditional devices. Vehicular Edge-Cloud Computing (VECC
Optimizing Energy Efficiency in Vehicular Edge-Cloud Networks Through Deep Reinforcement Learning-Based Computation Offloading
Elgendy I.A., Muthanna A., Alshahrani A., Hassan D.S.M., Alkanhel R., Elkawkagy M.
Vehicular Edge-Cloud Computing (VECC) paradigm has emerged as a viable approach to overcome
A mobile edge computing/software-defined networking-enabled architecture for vehicular networks
Muthanna A., Shamilova R., Ateya A.A., Paramonov A., Hammoudeh M.
open research challenges in vehicular networks. This architecture adopts mobile edge computing (MEC
Edge computing resource allocation orchestration system for autonomous vehicles
Khakimov A., Loborchuk A., Ibodullokhodzha I., Poluektov D., Elgendy I.A., Muthanna A.
the cloud computing paradigm by placing resources close to the network edges to cope with the upcoming
Distributed Edge Computing with Blockchain Technology to Enable Ultra-Reliable Low-Latency V2X Communications
Vladyko A., Elagin V., Spirkina A., Muthanna A., Ateya A.A.
Vehicular communication is a promising technology that has been announced as a main use
Seamless Handover Scheme for MEC/SDN-Based Vehicular Networks
Monir N., Toraya M.M., Vladyko A., Muthanna A., Torad M.A., Ateya A.A., Abd El-Samie F.E.
With the recent advances in the fifth-generation cellular system (5G), enabling vehicular
Deploying cloud, fog and edge technologies in a smart city infrastructure: a comprehensive analysis of functional roles and security aspects
Klychev, A., Tagangylyjov, I.
The article provides a detailed analysis of the implementation of cloud, fog and edge computing
Data agility through clustered edge computing and stream processing
timely manner. Supported by Cloud and Fog/Edge infrastructures – on the one hand, and Big Data processing
Personalized Health Tracking with Edge Computing Technologies
Distefano S., Bruneo D., Longo F., Merlino G., Puliafito A.
, such as Internet of Things (IoT), Cloud, and Edge computing, could address. The solution proposed in this paper
Deep Learning for Autonomous Vehicle Traffic Predictions in a Multi-cloud Vehicular Network Environment
Abdellah A.R., Abdelmoaty A., Alsweity M., Muthanna A., Koucheryavy A.
vehicles in a Vehicular network environment that incorporates multi-cloud services. A comparison

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