An intelligent edge-enabled distributed multi-task learning architecture for large-scale IoT-based cyber–physical systems
Abstract Internet-of-Things (IoT)-based cyber–physical systems are increasingly being
adopted because of the recent technological advancements in sensor technology, edge …
adopted because of the recent technological advancements in sensor technology, edge …
Deep learning for online computation offloading and resource allocation in NOMA
J Niu, S Zhang, K Chi, G Shen, W Gao - Computer Networks, 2022 - Elsevier
The limited battery capacity and low computing capability of wireless Internet of Things (IoT)
devices can hardly support computation-intensive and delay-sensitive applications. While …
devices can hardly support computation-intensive and delay-sensitive applications. While …
Deadline aware and energy-efficient scheduling algorithm for fine-grained tasks in mobile edge computing
A Lakhan, MA Mohammed… - … Journal of Web …, 2022 - inderscienceonline.com
These days, more and more web are converting into mobile devices such as the internet of
things (IoT). These applications are distributed in nature and installed on mobile and servers …
things (IoT). These applications are distributed in nature and installed on mobile and servers …
Implementing practical DNN-based object detection offloading decision for maximizing detection performance of mobile edge devices
In the last decade, deep neural network (DNN)-based object detection technologies have
received significant attention as a promising solution to implement a variety of image …
received significant attention as a promising solution to implement a variety of image …
Addressing challenges of distance learning in the pandemic with edge intelligence enabled multicast and caching solution
The COVID-19 pandemic has affected the world socially and economically changing
behaviors towards medical facilities, public gatherings, workplaces, and education …
behaviors towards medical facilities, public gatherings, workplaces, and education …
Enhanced multi-objective gorilla troops optimizer for real-time multi-user dependent tasks offloading in edge-cloud computing
This research paper investigates Mobile Edge Computing (MEC) networks, which involve
numerous wireless devices transferring their computation tasks to various edge servers and …
numerous wireless devices transferring their computation tasks to various edge servers and …
Multidimensional Parity Algorithms to Escalate the Security of Intelligent Mobile Models in Education.
R Vidhya, T Padmapriya… - … of Interactive Mobile …, 2023 - search.ebscohost.com
The traditional multiple reserves and resounding costs of increase of the corporal volume
can be replaced by a distributed file model of divided data employing algorithms …
can be replaced by a distributed file model of divided data employing algorithms …
DRL based partial offloading for maximizing sum computation rate of FDMA-based wireless powered mobile edge computing
Abstract Since most Internet of Things (IoT) nodes are powered by small-capacity batteries
and equipped with small computing units, it is difficult for them to process computing …
and equipped with small computing units, it is difficult for them to process computing …
Resource utilization of distributed databases in edge-cloud environment
Y Mansouri, V Prokhorenko, F Ullah… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
A benchmark study of modern distributed databases (DDBs)(eg, Cassandra, MongoDB,
Redis, and MySQL) is an important source of information for selecting the right technology …
Redis, and MySQL) is an important source of information for selecting the right technology …
Trust‐aware task load balancing in multi‐access edge computing based on blockchain and a zero trust security capability framework
The need for low‐latency service support at the network edge has increased due to new
applications such as autonomous vehicles, facial recognition, and augmented reality. Multi …
applications such as autonomous vehicles, facial recognition, and augmented reality. Multi …