1 citations · 1 across the 1 of their papers we have counts for
5 papers
Exact, Efficient, and Reliable Multi-Objective and Multi-Constrained IoT Workflow Scheduling in Edge-Hub-Cloud Cyber-Physical Systems
Andreas Kouloumpris, Georgios L. Stavrinides, Maria K. Michael +1
Emerging IoT-enabled cyber-physical applications demand low-latency, energy-efficient, and reliable execution across resource-constrained edge devices with heterogeneous multicore…
A reliability- and latency-driven task allocation framework for workflow applications in the edge-hub-cloud continuum
Andreas Kouloumpris, Georgios L. Stavrinides, Maria K. Michael +1
A growing number of critical workflow applications leverage a streamlined edge-hub-cloud architecture, which diverges from the conventional edge computing paradigm. An edge device,…
An optimization framework for task allocation in the edge/hub/cloud paradigm
Andreas Kouloumpris, Georgios L. Stavrinides, Maria K. Michael +1
With the advent of the Internet of Things (IoT), novel critical applications have emerged that leverage the edge/hub/cloud paradigm, which diverges from the conventional edge compu…
Optimal Multi-Constrained Workflow Scheduling for Cyber-Physical Systems in the Edge-Cloud Continuum
Andreas Kouloumpris, Georgios L. Stavrinides, Maria K. Michael +1
The emerging edge-hub-cloud paradigm has enabled the development of innovative latency-critical cyber-physical applications in the edge-cloud continuum. However, this paradigm pose…
Rare Event Detection in Imbalanced Multi-Class Datasets Using an Optimal MIP-Based Ensemble Weighting Approach
Georgios Tertytchny, Georgios L. Stavrinides, Maria K. Michael
To address the challenges of imbalanced multi-class datasets typically used for rare event detection in critical cyber-physical systems, we propose an optimal, efficient, and adapt…