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20232026
most citedEquilibrium in the Computing Continuum through Active Inference

29 citations · 36 across the 17 of their papers we have counts for

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7 papers · 1 filter

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

Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark

Zihang Wang, Boris Sedlak, Juan Luis Herrera +1

Modern Artificial Intelligence (AI) workloads deployed across the heterogeneous tiers of an edge--cloud continuum must satisfy multi-dimensional Service Level Objectives (SLOs) ove…

cs.DC2026

Active Inference-Based Adaptive Routing for Heterogeneous Edge AI Services

Zihang Wang, Boris Sedlak, Schahram Dustdar

Edge computing enables AI inference closer to data sources, reducing latency and bandwidth costs. However, orchestrating AI services across the cloud-edge continuum remains challen…

cs.SE2026

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…

cs.DC2026

Visual Insights into Agentic Optimization of Pervasive Stream Processing Services

Boris Sedlak, Víctor Casamayor Pujol, Schahram Dustdar

Processing sensory data close to the data source, often involving Edge devices, promises low latency for pervasive applications, like smart cities. This commonly involves a multitu…

cs.DC2026★ 1 cited

Service Orchestration in the Computing Continuum: Structural Challenges and Vision

Boris Sedlak, Víctor Casamayor Pujol, Ildefons Magrans de Abril +3

The Computing Continuum (CC) integrates different layers of processing infrastructure, from Edge to Cloud, to optimize service quality through ubiquitous and reliable computation.…