Enabling all in-edge deep learning: A literature review
In recent years, deep learning (DL) models have demonstrated remarkable achievements
on non-trivial tasks such as speech recognition, image processing, and natural language …
on non-trivial tasks such as speech recognition, image processing, and natural language …
[HTML][HTML] Graph neural networks for representing multivariate resource usage: A multiplayer mobile gaming case-study
Abstract The emergence of Multiplayer Mobile Gaming (MMG) applications is intertwined
with a plethora of Quality of Service and Quality of Experience requirements. Resource …
with a plethora of Quality of Service and Quality of Experience requirements. Resource …
RUMP: Resource Usage Multi-Step Prediction in Extreme Edge Computing
R Kain, SA Elsayed, Y Chen, HS Hassanein - Computer Communications, 2023 - Elsevier
Abstract Extreme Edge Computing that leverages the copious yet underutilized
computational resources of Extreme Edge Devices (EEDs) has gained significant …
computational resources of Extreme Edge Devices (EEDs) has gained significant …
Multi-step prediction of worker resource usage at the extreme edge
R Kain, SA Elsayed, Y Chen… - Proceedings of the 25th …, 2022 - dl.acm.org
Democratizing the edge by leveraging the prolific yet underutilized computational resources
of end devices, referred to as Extreme Edge Devices (EEDs), can open a new edge …
of end devices, referred to as Extreme Edge Devices (EEDs), can open a new edge …
[HTML][HTML] Optimizing energy efficiency in MEC networks: a deep learning approach with Cybertwin-driven resource allocation
Cybertwin (CT) is an innovative network structure that digitally simulates humans and items
in a virtual environment, significantly influencing Cybertwin instances more than regular …
in a virtual environment, significantly influencing Cybertwin instances more than regular …
[PDF][PDF] A Novel Predictive Model for Edge Computing Resource Scheduling Based on Deep Neural Network
M Gao, W Cai, Y Jiang, W Hu, J Yao… - … -Computer Modeling in …, 2024 - cdn.techscience.cn
Currently, applications accessing remote computing resources through cloud data centers is
the main mode of operation, but this mode of operation greatly increases communication …
the main mode of operation, but this mode of operation greatly increases communication …
DRUDGE: Dynamic Resource Usage Data Generation for Extreme Edge Devices
R Kain, SA Elsayed, Y Chen… - … 2023-2023 IEEE …, 2023 - ieeexplore.ieee.org
Extreme Edge Computing (EEC) can drastically curtail the delay, reduce network bandwidth
consumption, and enhance system performance by providing computing resources closer to …
consumption, and enhance system performance by providing computing resources closer to …
Dynamicity-Aware Edge Computing: Predicting Worker Availability and Utilizing Reputation Scores
M Kantardjian - 2023 - qspace.library.queensu.ca
Democratizing the edge by harnessing the underutilized computational resources of end
devices, also referred to as Extreme Edge Devices (EEDs), can foster a broad spectrum of …
devices, also referred to as Extreme Edge Devices (EEDs), can foster a broad spectrum of …