activity
20232026
most citedLearning-driven Zero Trust in Distributed Computing Continuum Systems

7 citations · 9 across the 13 of their papers we have counts for

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Showing 2026Show all

5 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 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…

cs.AI2026

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…

cs.DC2026

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…

cs.AI2026

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…