activity
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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Showing 2025Show all

6 papers · 1 filter

cs.DC2025

Multi-Dimensional Autoscaling of Stream Processing Services on Edge Devices

Boris Sedlak, Philipp Raith, Andrea Morichetta +2

Edge devices have limited resources, which inevitably leads to situations where stream processing services cannot satisfy their needs. While existing autoscaling mechanisms focus e…

cs.AI2025

Multi-dimensional Autoscaling of Processing Services: A Comparison of Agent-based Methods

Boris Sedlak, Alireza Furutanpey, Zihang Wang +2

Edge computing breaks with traditional autoscaling due to strict resource constraints, thus, motivating more flexible scaling behaviors using multiple elasticity dimensions. This w…

cs.DC2025★ 2 cited

Distributed Intelligence in the Computing Continuum with Active Inference

Victor Casamayor Pujol, Boris Sedlak, Tommaso Salvatori +2

The Computing Continuum (CC) is an emerging Internet-based computing paradigm that spans from local Internet of Things sensors and constrained edge devices to large-scale cloud dat…

cs.NI2025

MACH: Multi-Agent Coordination for RSU-centric Handovers

Nikolaus Spring, Andrea Morichetta, Boris Sedlak +1

This paper introduces MACH, a novel approach for optimizing task handover in vehicular computing scenarios. To ensure fast and latency-aware placement of tasks, the decision-making…

cs.PF2025

Towards Multi-dimensional Elasticity for Pervasive Stream Processing Services

Boris Sedlak, Andrea Morichetta, Philipp Raith +2

This paper proposes a hierarchical solution to scale streaming services across quality and resource dimensions. Modern scenarios, like smart cities, heavily rely on the continuous…

cs.DC2025★ 4 cited

Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum Systems

Alfreds Lapkovskis, Boris Sedlak, Sindri Magnússon +2

Ensuring Service Level Objectives (SLOs) in large-scale architectures, such as Distributed Computing Continuum Systems (DCCS), is challenging due to their heterogeneous nature and…