8 citations · 14 across the 8 of their papers we have counts for
9 papers
User-Assisted Collaborative Distributed Inference for Efficient QoS-Aware Autoscaling
Alfreds Lapkovskis, Ali Beikmohammadi, Sindri Magnússon +1
Growing demand for artificial intelligence (AI) inference services requires scalable infrastructure, yet centralized serving costs rise with demand. We propose a collaborative dist…
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…
Active Inference for Adaptive Traffic Signal Control in Noisy Nonstationary IoT Environments
Dénes Toth, George Ambroladze, Edwin Sundberg +2
Urban traffic signal control at IoT-instrumented intersections must remain effective under sensor occlusion, weather attenuation, and nonstationary demand. Conventional controllers…
An Uncertainty-Aware Resilience Micro-Agent for Causal Observability in the Computing Continuum
Suvi De Silva, Alfreds Lapkovskis, Alaa Saleh +2
Grey failures in the computing continuum produce ambiguous overlapping symptoms that existing approaches fail to diagnose reliably, either due to a lack of causal awareness or acti…
Adaptive AI Task Partitioning and Safe Offloading in Heterogeneous Edge-Cloud Continuum
Akuen Akoi Deng, Eimantas Butkus, Alfreds Lapkovskis +1
In recent years, the use of artificial intelligence on resource-constrained IoT devices has grown significantly. However, existing approaches to AI task partitioning and offloading…
NeSy-Edge: Neuro-Symbolic Trustworthy Self-Healing in the Computing Continuum
Peihan Ye, Alfreds Lapkovskis, Alaa Saleh +2
The computational demands of modern AI services are increasingly shifting execution beyond centralized clouds toward a computing continuum spanning edge and end devices. However, t…
Resilient by Design -- Active Inference for Distributed Continuum Intelligence
Praveen Kumar Donta, Alfreds Lapkovskis, Enzo Mingozzi +1
Failures are the norm in highly complex and heterogeneous devices spanning the distributed computing continuum (DCC), from resource-constrained IoT and edge nodes to high-performan…
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…
Automatic Fused Multimodal Deep Learning for Plant Identification
Alfreds Lapkovskis, Natalia Nefedova, Ali Beikmohammadi
Plant classification is vital for ecological conservation and agricultural productivity, enhancing our understanding of plant growth dynamics and aiding species preservation. The a…