activity
20182026
most citedQEdgeProxy: QoS-Aware Load Balancing for IoT Services in the Computing Continuum

6 citations · 19 across the 13 of their papers we have counts for

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7 papers · 1 filter

cs.DC2026

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…

cs.DC2026

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…

cs.DC2025

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…

cs.DC2025★ 2 cited

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…

cs.DC2024

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…

cs.DC2024

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…

cs.DC2024★ 6 cited

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…