From the 1 of 24 linked papers with an AI index.
1 citations · 1 across the 9 of their papers we have counts for
24 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
The paper proposes a structured taxonomy of performance metrics for distributed computing continuum systems, categorizing metrics across computing, network, and application levels…
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…
ADORN: Adaptive Drift handling for Open RAN using Reinforcement Learning
Ashit Kumar Subudhi, Bhargav Chirumamilla, Shubham Vaishnav +5
Dynamic traffic variations in Open Radio Access Networks (O-RAN) lead to drift, which degrades the performance of Artificial Intelligence/Machine Learning (AI/ML) models. Tradition…
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…
Predictive RTO for CoAP using Lightweight Support Vector Regression in Internet of Things
Tobias Hansson, Praveen Kumar Donta
Internet of Things (IoT) networks require lightweight application layer messaging, and CoAP is an option because it supports REST-style interactions over UDP on constrained devices…