A study of optimization in deep neural networks for regression
Due to rapid development in information technology in both hardware and software, deep
neural networks for regression have become widely used in many fields. The optimization of …
neural networks for regression have become widely used in many fields. The optimization of …
[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 …
Intelligent horizontal autoscaling in edge computing using a double tower neural network
Edge computing is characterized by varying workload intensities that have a strong effect on
applications' performance and requirements in terms of resources. Thus, in order to maintain …
applications' performance and requirements in terms of resources. Thus, in order to maintain …
Greenkube: Towards greener container orchestration using artificial intelligence
T Theodoropoulos, A Makris… - … on Service-Oriented …, 2023 - ieeexplore.ieee.org
This paper introduces the GreenKube framework, which aims to reduce energy consumption
while meeting Quality of Service (QoS) requirements through the use of various AI …
while meeting Quality of Service (QoS) requirements through the use of various AI …
[PDF][PDF] A Novel Predictive Model for Edge Computing Resource Scheduling Based on Deep Neural Network
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 …
A brief review of population-based methods for task offloading in cloud-to-edge continuum
A Chourlias, T Theodoropoulos, J Violos… - 2023 IEEE 12th …, 2023 - ieeexplore.ieee.org
Task offloading is one of the most important issues in the cloud-to-edge continuum in order
to optimise quality of services metrics and maximize the revenue for users and providers …
to optimise quality of services metrics and maximize the revenue for users and providers …
FAS-CT: FPGA-Based Acceleration System with Continuous Training
MLG Hernandez, J Ruiz, R Lozada… - Annals of Computer …, 2023 - annals-csis.org
This paper presents FAS-CT a novel approach to a distributed low-latency Deep Learning
inference system based on a Field Programmable Gate Array (FPGA). The system …
inference system based on a Field Programmable Gate Array (FPGA). The system …