[HTML][HTML] Autonomous proactive data management in support of pervasive edge applications

K Kolomvatsos, C Anagnostopoulos - Future Generation Computer Systems, 2024 - Elsevier
Recently, context-aware data management becomes the focus of many research efforts
placed at the intersection between the Internet of Things (IoT) and Edge Computing (EC) …

Correlation adaptive task scheduling

T Moustakas, K Kolomvatsos - Computing, 2023 - Springer
Abstract The Internet of Things offers a vast infrastructure where numerous devices interact
to collect data or perform processing activities (tasks). These devices are, usually, equipped …

Enhancing Knowledge Reusability: A Distributed Multitask Machine Learning Approach

Q Long, C Anagnostopoulos… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the era of the Internet of Things, the unprecedented growth of data surpasses current
predictive analytics and processing capabilities. Due to the potential redundancy of similar …

Data management and selectivity in collaborative pervasive edge computing

D Papathanasiou, K Kolomvatsos - Computing, 2024 - Springer
Context-aware data management becomes the focus of several research efforts, which can
be placed at the intersection between the Internet of Things (IoT) and Edge Computing (EC) …

[HTML][HTML] Task offloading in mobile edge computing using cost-based discounted optimal stopping

S ALFahad, Q Wang, C Anagnostopoulos… - Open Computer …, 2024 - degruyter.com
Mobile edge computing (MEC) paradigm has emerged to improve the quality of service &
experience of applications deployed in close proximity to end-users. Due to their restricted …

[HTML][HTML] Time-optimized sequential decision making for service management in smart city environments

S ALFahad, C Anagnostopoulos… - Journal of Smart …, 2022 - content.iospress.com
Edge Computing is a new computing paradigm that aims to enhance the Quality of Service
(QoS) of applications running close to end users. However, edge nodes can only host a …

A Proactive Uncertainty driven Model for Tasks Offloading

M Papathanasaki, P Fountas… - arXiv preprint arXiv …, 2022 - arxiv.org
The ever-increasing demands of end-users on the Internet of Things (IoT), often cause great
congestion in the nodes that serve their requests. Therefore, the problem of node …

[HTML][HTML] An Uncertainty-Driven Proactive Self-Healing Model for Pervasive Applications

M Papathanasaki, P Fountas, K Kolomvatsos - Network, 2022 - mdpi.com
The ever-increasing demand for services of end-users in the Internet of Things (IoT) often
causes great congestion in the nodes dedicated to serving their requests. Such nodes are …

Task-Aware Data Selectivity in Pervasive Edge Computing Environments

A Koukosias, C Anagnostopoulos, K Kolomvatsos - Authorea Preprints, 2023 - techrxiv.org
Nowadays, special focus on intelligent and context-aware data management is given in the
intersection between Internet of Things (IoT) and Edge Computing (EC), where humongous …

Model Reuse in Distributed Computing: A Multitask Learning Approach Based on Partial Learning Curves

Q Long, C Anagnostopoulos, F Deligianni… - Available at SSRN … - papers.ssrn.com
In the era of Internet of Things, the unprecedented growth of data surpasses current
predictive analytics and processing capabilities. Due to the potential redundancy of similar …