[HTML][HTML] Computation offloading in mobile cloud computing and mobile edge computing: survey, taxonomy, and open issues
M Maray, J Shuja - Mobile Information Systems, 2022 - hindawi.com
Cloud and mobile edge computing (MEC) provides a wide range of computing services for
mobile applications. In particular, mobile edge computing enables a computing and storage …
mobile applications. In particular, mobile edge computing enables a computing and storage …
Task offloading paradigm in mobile edge computing-current issues, adopted approaches, and future directions
MY Akhlaqi, ZBM Hanapi - Journal of Network and Computer Applications, 2023 - Elsevier
Many enterprise companies migrate their services and applications to the cloud to benefit
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …
from cloud computing advantages. Meanwhile, the rapidly increasing number of connected …
DMRO: A deep meta reinforcement learning-based task offloading framework for edge-cloud computing
With the explosive growth of mobile data and the unprecedented demand for computing
power, resource-constrained edge devices cannot effectively meet the requirements of …
power, resource-constrained edge devices cannot effectively meet the requirements of …
A machine learning and genetic algorithm-based method for predicting width deviation of hot-rolled strip in steel production systems
Width deviation is an important metric for evaluating the quality of a hot-rolled strip in steel
production systems. This paper considers a width deviation prediction problem and …
production systems. This paper considers a width deviation prediction problem and …
A digital twin-based approach for optimizing operation energy consumption at automated container terminals
Y Gao, D Chang, CH Chen - Journal of Cleaner Production, 2023 - Elsevier
The sustainable development of port operation management is strongly related to the
energy consumption of production at automated container terminals (ACTs). This paper …
energy consumption of production at automated container terminals (ACTs). This paper …
Task offloading and resource allocation for IoV using 5G NR-V2X communication
Vehicular edge computing (VEC) is an innovative computing paradigm with an exceptional
ability to improve the vehicles' capacity to manage computation-intensive applications with …
ability to improve the vehicles' capacity to manage computation-intensive applications with …
Hierarchical particle swarm optimization-incorporated latent factor analysis for large-scale incomplete matrices
A Stochastic Gradient Descent (SGD)-based Latent Factor Analysis (LFA) model is highly
efficient in representative learning on a High-Dimensional and Sparse (HiDS) matrix, where …
efficient in representative learning on a High-Dimensional and Sparse (HiDS) matrix, where …
Computation offloading and service caching for intelligent transportation systems with digital twin
Mobile edge computing (MEC) provides a novel computing paradigm to satisfy the
increasing computation requirements of mobile applications. In MEC-enabled intelligent …
increasing computation requirements of mobile applications. In MEC-enabled intelligent …
Profit-aware edge server placement
In a 5G network, mobile-edge computing (MEC) plays a key role in providing low access
delay services. The placement of edge servers not only determines the quality of services on …
delay services. The placement of edge servers not only determines the quality of services on …
Self-adaptive bat algorithm with genetic operations
Swarm intelligence in a bat algorithm (BA) provides social learning. Genetic operations for
reproducing individuals in a genetic algorithm (GA) offer global search ability in solving …
reproducing individuals in a genetic algorithm (GA) offer global search ability in solving …