7 citations · 9 across the 13 of their papers we have counts for
14 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 Taxonomy of Performance Metrics for the Distributed Computing Continuum
Praveen Kumar Donta, Boris Sedlak, Alfreds Lapkovskis +6
Performance evaluation is essential for understanding, comparing, and improving computing systems, including Distributed Computing Continuum Systems (DCCS). In recent years, comput…
Clustered Edge Intelligence: Beyond Just Convergence of Edge Computing and AI
Chinmaya Kumar Dehury, Boris Sedlak, Alaa Saleh +4
We are moving from an information age to the age of intelligence. A decade, or possibly less than that, data will not be the gold anymore rather the derived intelligence out of the…
ClusterLess: Deadline-Aware Serverless Workflow Orchestration on Federated Edge Clusters
Reza Farahani, Mario Colosi, Ilir Murturi +4
The recent convergence of edge computing, serverless execution, and Kubernetes (K8s) based container orchestration has enabled the processing of application workflows close to data…
Agentic Service Markets Across the Computing Continuum: A Polymatroidal Architecture
Lauri Lovén, Alaa Saleh, Reza Farahani +5
Autonomous AI agents are becoming economic actors. They compose deadline-bound services across the device-edge-cloud continuum and contend for capacity no single operator owns. Thi…
Socio-technical aspects of Agentic AI
Praveen Kumar Donta, Alaa Saleh, Ying Li +15
Agentic Artificial Intelligence (AI) represents a fundamental shift in the design of intelligent systems, characterized by interconnected components that collectively enable autono…
Synergizing Monetization, Orchestration, and Semantics in Computing Continuum
Chinmaya Kumar Dehury, Lauri Lovén, Praveen Kumar Donta +2
Industry demands are growing for hyper-distributed applications that span from the cloud to the edge in domains such as smart manufacturing, transportation, and agriculture. Yet to…
A Conflict-Aware Resource Management Framework for the Computing Continuum
Vlad Popescu-Vifor, Ilir Murturi, Praveen Kumar Donta +1
The increasing device heterogeneity and decentralization requirements in the computing continuum (i.e., spanning edge, fog, and cloud) introduce new challenges in resource orchestr…
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…
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…
A Graph-based Approach to Human Activity Recognition
Thomas Peroutka, Ilir Murturi, Praveen Kumar Donta +1
Advanced wearable sensor devices have enabled the recording of vast amounts of movement data from individuals regarding their physical activities. This data offers valuable insight…
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…
Distributed AI in Zero-touch Provisioning for Edge Networks: Challenges and Research Directions
Abhishek Hazra, Andrea Morichetta, Ilir Murturi +5
Zero-touch network is anticipated to inaugurate the generation of intelligent and highly flexible resource provisioning strategies where multiple service providers collaboratively…
Learning-driven Zero Trust in Distributed Computing Continuum Systems
Ilir Murturi, Praveen Kumar Donta, Victor Casamayor Pujol +2
Converging Zero Trust (ZT) with learning techniques can solve various operational and security challenges in Distributed Computing Continuum Systems (DCCS). Implementing centralize…