Toward supporting XR services: Architecture and enablers

T Taleb, A Boudi, L Rosa, L Cordeiro… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Emerging cross-reality (XR) applications, including holography, augmented, virtual, and
mixed reality, are characterized by unprecedented requirements for Quality of Experience …

Task offloading in Edge and Cloud Computing: A survey on mathematical, artificial intelligence and control theory solutions

F Saeik, M Avgeris, D Spatharakis, N Santi… - Computer Networks, 2021 - Elsevier
Next generation communication networks are expected to accommodate a high number of
new and resource-voracious applications that can be offered to a large range of end users …

Intelligent proactive fault tolerance at the edge through resource usage prediction

T Theodoropoulos, J Violos, S Tsanakas… - arXiv preprint arXiv …, 2023 - arxiv.org
The proliferation of demanding applications and edge computing establishes the need for
an efficient management of the underlying computing infrastructures, urging the providers to …

Implementation of a decision support system for prediction of the total soluble solids of industrial tomato using machine learning models

CN Kasimatis, E Psomakelis, N Katsenios… - … And Electronics In …, 2022 - Elsevier
Tomato is the second most important vegetable in the world, both in terms of production and
consumption. Especially for the cultivation of industrial tomato, harvest is conducted when …

Using LSTM neural networks as resource utilization predictors: The case of training deep learning models on the edge

J Violos, E Psomakelis, D Danopoulos… - Economics of Grids …, 2020 - Springer
Cloud and Fog technologies are steadily gaining momentum and popularity in the research
and industry circles. Both communities are wondering about the resource usage. The …

Hypertuning GRU neural networks for edge resource usage prediction

J Violos, S Tsanakas, T Theodoropoulos… - … IEEE Symposium on …, 2021 - ieeexplore.ieee.org
The proliferation of Internet of Things (IoT) and edge devices constitute important an efficient
orchestration of the edge computing infrastructures, calling the providers to rethink their …

Predicting resource usage in edge computing infrastructures with CNN and a hybrid Bayesian particle swarm hyper-parameter optimization model

J Violos, T Pagoulatou, S Tsanakas, K Tserpes… - … : Proceedings of the …, 2021 - Springer
As the computational needs of edge infrastructures increased, efficient resource
management becomes a necessity. An accurate prediction of future resource usage …

Automated and reproducible application traces generation for IoT applications

N Santi, R Grünblatt, B Foubert, A Hameed… - Proceedings of the 17th …, 2021 - dl.acm.org
In this paper, we investigate and present how to generate application traces of IoT (Internet
of Things) Applications in an automated, repeatable and reproducible manner. By using the …

[PDF][PDF] A Privacy-aware Computation Offloading Method for Virtual Reality Application.

K Peng, P Liu, T Huang - CIKM Workshops, 2021 - ceur-ws.org
As a new technology, virtual reality (VR) is constantly enriching people's experience. VR
application has high requirements for the performance VR devices, but the computing …

[PDF][PDF] Αυτοματοποίηση της Εκπαίδευσης Νευρωνικών Δικτύων μέσω Εξελικτικών Αλγορίθμων

Σ Τσανάκας - 2022 - dspace.lib.ntua.gr
Περίληψη Στην παρούσα διπλωματική παρουσιάζεται το μοντέλο των νευρωνικών δικτύων, οι
σχεδιαστικές του επιλογές, οι μέθοδοι εκπαίδευσης καθώς και οι ευριστικές μέθοδοι που …