A review on quality of experience (QoE) in cloud computing

AA Laghari, X Zhang, ZA Shaikh, A Khan… - Journal of Reliable …, 2024 - Springer
The services are delivered to the user through a protocol interface of different resources.
Service delivery conferring on quality of service (QoS) mentioned in service level agreement …

A systematic review of energy management strategies for resource allocation in the cloud: Clustering, optimization and machine learning

S Jayaprakash, MD Nagarajan, RP Prado… - Energies, 2021 - mdpi.com
Nowadays, many organizations and individual users are employing cloud services
extensively due to their efficiency, reliability and low cost. A key aspect for cloud data centers …

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 …

Secure and optimized load balancing for multitier IoT and edge-cloud computing systems

WZ Zhang, IA Elgendy, M Hammad… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Mobile-edge computing (MEC) has emerged as a new computing paradigm with great
potential to alleviate resource limitations attributed to mobile device users (MDUs) by …

Efficient and secure multi-user multi-task computation offloading for mobile-edge computing in mobile IoT networks

IA Elgendy, WZ Zhang, Y Zeng, H He… - … on Network and …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is a new paradigm to alleviate resource limitations of mobile
IoT networks through computation offloading with low latency. This article presents an …

Energy-latency tradeoff for dynamic computation offloading in vehicular fog computing

R Yadav, W Zhang, O Kaiwartya… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicular Fog Computing (VFC) provides solutions to relieves overload cloudlet nodes,
reduces service latency during peak times, and saves energy for battery-powered cloudlet …

Smart healthcare: RL-based task offloading scheme for edge-enable sensor networks

R Yadav, W Zhang, IA Elgendy, G Dong… - IEEE Sensors …, 2021 - ieeexplore.ieee.org
With the wide application of Internet-of-Medical-Things (IoMTs) or sensor nodes which
equipped with sensors. These networked sensors are used to gather enormous data from …

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 …

Cooperative transmission scheduling and computation offloading with collaboration of fog and cloud for industrial IoT applications

A Hazra, PK Donta, T Amgoth… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
Energy consumption for large amounts of delay-sensitive applications brings serious
challenges with the continuous development and diversity of Industrial Internet of Things …

Utilizing landfill gas (LFG) to electrify digital data centers in China for accelerating energy transition in Industry 4.0 era

X Liang, HH Goh, TA Kurniawan, D Zhang… - Journal of Cleaner …, 2022 - Elsevier
The volume of landfill gas (LFG) produced during municipal solid waste (MSW)
decomposition in local landfills has increased rapidly in recent years. To promote circular …