[HTML][HTML] Mobility-aware fog computing in dynamic networks with mobile nodes: A survey
K Ostrowski, K Małecki, P Dziurzański… - Journal of Network and …, 2023 - Elsevier
Fog computing is an evolving paradigm that addresses the latency-oriented performance
and spatio-temporal issues of the cloud services by providing an extension to the cloud …
and spatio-temporal issues of the cloud services by providing an extension to the cloud …
Stochastic mutual information gradient estimation for dimensionality reduction networks
O Özdenizci, D Erdoğmuş - Information sciences, 2021 - Elsevier
Feature ranking and selection is a widely used approach in various applications of
supervised dimensionality reduction in discriminative machine learning. Nevertheless there …
supervised dimensionality reduction in discriminative machine learning. Nevertheless there …
Joint social-aware and mobility-aware computation offloading in heterogeneous mobile edge computing
C Xu, C Xu, B Li, S Li, T Li - IEEE Access, 2022 - ieeexplore.ieee.org
With increasing computation-intensive tasks of various applications running on mobile
devices, the limitation of computing resources and battery capacity on mobile devices makes …
devices, the limitation of computing resources and battery capacity on mobile devices makes …
An opportunistic vehicle-based task assignment for IoT offloading
IoT is one of the most prolific origins of data that is collected from sensory inputs. IoT devices
are characterized by low computational power, thus motivating the computation offloading …
are characterized by low computational power, thus motivating the computation offloading …
[HTML][HTML] Machine learning-based traffic offloading in fog networks
GE Zaharia, RI Ciobanu, C Dobre - Simulation Modelling Practice and …, 2020 - Elsevier
Wi-Fi offloading in fog networks is believed to be one of the best ways to solve the significant
data increase in cellular networks, since nodes located close by are used as relays for …
data increase in cellular networks, since nodes located close by are used as relays for …
A self-aware and scalable solution for efficient mobile-cloud hybrid robotics
Backed by the virtually unbounded resources of the cloud, battery-powered mobile robotics
can also benefit from cloud computing, meeting the demands of even the most …
can also benefit from cloud computing, meeting the demands of even the most …
Scheduling multi-workflows over edge computing resources with time-varying performance, A novel probability-mass function and DQN-based approach
The edge computing paradigm is featured by the ability to off-load computing tasks from
mobile devices to edge clouds and provide high cost-efficient computing resources, storage …
mobile devices to edge clouds and provide high cost-efficient computing resources, storage …
Jay: adaptive computation offloading for hybrid cloud environments
Edge computing is a hot research topic given the ever-increasing requirements of mobile
applications in terms of computation and communication and the emerging Internet-of …
applications in terms of computation and communication and the emerging Internet-of …
Distributed learning based joint communication and computation strategy of iot devices in smart cities
T Liu, R Luo, F Xu, C Fan, C Zhao - Sensors, 2020 - mdpi.com
With the development of global urbanization, the Internet of Things (IoT) and smart cities are
becoming hot research topics. As an emerging model, edge computing can play an …
becoming hot research topics. As an emerging model, edge computing can play an …
Cooperative Edge Computing Task Offloading Strategy for Urban Internet of Things
B Wang, M Li - Wireless Communications and Mobile …, 2021 - Wiley Online Library
With the continuous progress of edge computing technology and the development of the
Internet of Things technology, scenarios such as smart transportation, smart home, and …
Internet of Things technology, scenarios such as smart transportation, smart home, and …