6 citations · 19 across the 13 of their papers we have counts for
16 papers
ARGOS: Reinforcement Learning-Driven Multidimensional Elasticity for Service Orchestration in the Computing Continuum
Javier Mateos-Bravo, Sergio Laso, Juan Luis Herrera +3
Data-intensive services in the Computing Continuum must balance analytics quality, resource usage, and cost across heterogeneous nodes with limited and uneven capacity. This balanc…
A Kubernetes-Native Request Router for Quality-Aware Inference Serving in the Computing Continuum
Ignjat Karanovic, Pantelis A. Frangoudis, Ivan Čilić +2
We introduce Adaptive Score-based Routing Balancer (ASRB), a dynamic, score-based request routing mechanism for Kubernetes-based service deployments over the computing continuum. A…
Pricing-Driven Resource Allocation in the Computing Continuum
Alejandro García-Fernández, Boris Sedlak, José Antonio Parejo +3
Deploying applications across the computing continuum requires selecting infrastructure nodes from geographically distributed and heterogeneous environments while satisfying constr…
QoS-Aware Load Balancing in the Computing Continuum via Multi-Player Bandits
Ivan Čilić, Ivana Podnar Žarko, Pantelis Frangoudis +1
As computation shifts from the cloud to the edge to reduce processing latency and network traffic, the resulting Computing Continuum (CC) creates a dynamic environment where meetin…
BIPPO: Budget-Aware Independent PPO for Energy-Efficient Federated Learning Services
Anna Lackinger, Andrea Morichetta, Pantelis A. Frangoudis +1
Federated Learning (FL) is a promising machine learning solution in large-scale IoT systems, guaranteeing load distribution and privacy. However, FL does not natively consider infr…
Leveraging Neural Graph Compilers in Machine Learning Research for Edge-Cloud Systems
Alireza Furutanpey, Carmen Walser, Philipp Raith +2
This work presents a comprehensive evaluation of neural network graph compilers across heterogeneous hardware platforms, addressing the critical gap between theoretical optimizatio…
A Multidimensional Elasticity Framework for Adaptive Data Analytics Management in the Computing Continuum
Sergio Laso, Ilir Murturi, Pantelis Frangoudis +3
The increasing complexity of IoT applications and the continuous growth in data generated by connected devices have led to significant challenges in managing resources and meeting…
Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication
Alireza Furutanpey, Pantelis A. Frangoudis, Patrik Szabo +1
This paper investigates the adversarial robustness of Deep Neural Networks (DNNs) using Information Bottleneck (IB) objectives for task-oriented communication systems. We empirical…
Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget
Ivan Čilić, Anna Lackinger, Pantelis Frangoudis +4
Deploying a Hierarchical Federated Learning (HFL) pipeline across the computing continuum (CC) requires careful organization of participants into a hierarchical structure with inte…
Inference Load-Aware Orchestration for Hierarchical Federated Learning
Anna Lackinger, Pantelis A. Frangoudis, Ivan Čilić +4
Hierarchical federated learning (HFL) designs introduce intermediate aggregator nodes between clients and the global federated learning server in order to reduce communication cost…
QEdgeProxy: QoS-Aware Load Balancing for IoT Services in the Computing Continuum
Ivan Čilić, Valentin Jukanović, Ivana Podnar Žarko +2
While various service orchestration aspects within Computing Continuum (CC) systems have been extensively addressed, including service placement, replication, and scheduling, an op…
Split Federated Learning for 6G Enabled-Networks: Requirements, Challenges and Future Directions
Houda Hafi, Bouziane Brik, Pantelis A. Frangoudis +1
Sixth-generation (6G) networks anticipate intelligently supporting a wide range of smart services and innovative applications. Such a context urges a heavy usage of Machine Learnin…
Network Slicing-Based Customization of 5G Mobile Services
I. Afolabi, T. Taleb, P. A. Frangoudis +2
Through network slicing, different requirements of different applications and services can be met. These requirements can be in terms of latency, bandwidth, mobility support, defin…
Follow-Me Cloud: When Cloud Services Follow Mobile Users
T. Taleb, A. Ksentini, P. Frangoudis
The trend towards the cloudification of the 3GPP LTE mobile network architecture and the emergence of federated cloud infrastructures call for alternative service delivery strategi…
CDN Slicing over a Multi-Domain Edge Cloud
T. Taleb, P. A. Frangoudis, I. Benkacem +1
We present an architecture for the provision of video Content Delivery Network (CDN) functionality as a service over a multi-domain cloud. We introduce the concept of a CDN slice,…
Resource Orchestration of 5G Transport Networks for Vertical Industries
K. Antevski, J. Martín-Pérez, Nuria Molner +12
The future 5G transport networks are envisioned to support a variety of vertical services through network slicing and efficient orchestration over multiple administrative domains.…