Probabilistic computation offloading for mobile edge computing in dynamic network environment

BB Bista, J Wang, T Takata - Internet of Things, 2020 - Elsevier
Explosive increase in mobile devices, IoT devices, connected cars, etc., are straining cloud
computing servers and network devices. It is envisioned that the mobile edge computing …

[PDF][PDF] An Advanced Analysis of Cloud Computing Concepts Based on the Computer Science Ontology.

P Lula, O Dospinescu, D Homocianu… - … , Materials & Continua, 2021 - cdn.techscience.cn
Our primary research hypothesis stands on a simple idea: The evolution of top-rated
publications on a particular theme depends heavily on the progress and maturity of related …

[图书][B] IT governance and information security: Guides, standards, and frameworks

Y Maleh, A Sahid, M Alazab, M Belaissaoui - 2021 - taylorfrancis.com
IT governance seems to be one of the best strategies to optimize IT assets in an economic
context dominated by information, innovation, and the race for performance. The …

Component-centric mobile cloud architecture performance evaluation: an analytical approach for unified models and component compatibility with next generation …

K Mohiuddin, A Islam, MA Islam, M Khaleel… - Mobile Networks and …, 2023 - Springer
Mobile cloud architectures (MCAs) and their components have become significant
contributors in executing resource-demanding mobile applications. Selecting the most …

Adaptive context-aware energy optimization for services on mobile devices with use of machine learning considering security aspects

P Nawrocki, B Sniezynski, J Kolodziej… - 2020 20th IEEE/ACM …, 2020 - ieeexplore.ieee.org
In this paper we present an original adaptive task scheduling system, which optimizes the
energy consumption of mobile devices using machine learning mechanisms and context …

Task offloading for edge computing in industrial Internet with joint data compression and security protection

Z Wang, Y Ding, X Jin, Y Chen, C Gao - The Journal of Supercomputing, 2023 - Springer
With the increase of intelligent devices in the industrial Internet, the computing tasks of these
devices are growing exponentially. However, due to the centralized deployment and long …

[PDF][PDF] Impact of Mobile Learning in the Cloud on Learning Competencies of Engineering Students.

RK Mallya, B Srinivasan - Int. J. online Biomed. Eng., 2019 - researchgate.net
It has been acknowledged that the mobile learning concept has extended numerous
opportunities for teachers as well as students, as it makes way for an active learning …

Joint computational and wireless resource allocation in multicell collaborative fog computing networks

Z Fei, Y Wang, J Zhao, X Wang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In 6G and future networks, joint optimization of communication and computational resources
lays the foundation for various delay-sensitive intelligent IoT services in the fog computing …

Educational experience in the mobile learning environment: consumer behavior perspective

G Volkovitckaia, Y Tikhonova, O Kolosova - 2020 - learntechlib.org
The development of digital technologies necessitates the formation of digital literacy and
entrepreneurship skills in the modern" digital generation". The study has as the objective to …

Computational offloading framework using caching and cloud service selection in mobile cloud computing

K Sindhu, HS Guruprasad - International Journal of …, 2022 - inderscienceonline.com
Execution of resource constrained applications on mobile devices is still a challenging task
due to limited resources of mobile devices like processing speed, battery-power and …