6 citations · 7 across the 8 of their papers we have counts for
10 papers
A Kubernetes-Native Request Router for Quality-Aware Inference Serving in the Computing Continuum
Ignjat Karanovic, Pantelis A. Frangoudis, Ivan Čilić +2
We introduce Adaptive Score-based Routing Balancer (ASRB), a dynamic, score-based request routing mechanism for Kubernetes-based service deployments over the computing continuum. A…
QoS-Aware Load Balancing in the Computing Continuum via Multi-Player Bandits
Ivan Čilić, Ivana Podnar Žarko, Pantelis Frangoudis +1
As computation shifts from the cloud to the edge to reduce processing latency and network traffic, the resulting Computing Continuum (CC) creates a dynamic environment where meetin…
Adaptive Graph Pruning with Sudden-Events Evaluation for Traffic Prediction using Online Semi-Decentralized ST-GNNs
Ivan Kralj, Lodovico Giaretta, Gordan Ježić +2
Spatio-Temporal Graph Neural Networks (ST-GNNs) are well-suited for processing high-frequency data streams from geographically distributed sensors in smart mobility systems. Howeve…
Edge-Based Predictive Data Reduction for Smart Agriculture: A Lightweight Approach to Efficient IoT Communication
Dora Krekovic, Mario Kusek, Ivana Podnar Zarko +1
The rapid growth of IoT devices has led to an enormous amount of sensor data that requires transmission to cloud servers for processing, resulting in excessive network congestion,…
Semi-decentralized Training of Spatio-Temporal Graph Neural Networks for Traffic Prediction
Ivan Kralj, Lodovico Giaretta, Gordan Ježić +2
In smart mobility, large networks of geographically distributed sensors produce vast amounts of high-frequency spatio-temporal data that must be processed in real time to avoid maj…
QEdgeProxy: QoS-Aware Load Balancing for IoT Services in the Computing Continuum
Ivan Čilić, Valentin Jukanović, Ivana Podnar Žarko +2
While various service orchestration aspects within Computing Continuum (CC) systems have been extensively addressed, including service placement, replication, and scheduling, an op…
Autonomous Driving with a Deep Dual-Model Solution for Steering and Braking Control
Ana Petra Jukić, Ana Šelek, Marija Seder +1
The technology of autonomous driving is currently attracting a great deal of interest in both research and industry. In this paper, we present a deep learning dual-model solution t…
Reducing Communication Overhead in the IoT-Edge-Cloud Continuum: A Survey on Protocols and Data Reduction Strategies
Dora Kreković, Petar Krivić, Ivana Podnar Žarko +2
The adoption of the Internet of Things (IoT) deployments has led to a sharp increase in network traffic as a vast number of IoT devices communicate with each other and IoT services…
Aurora: a probabilistic algorithm for distributed ledgers enabling trustless synchronization and transaction inclusion verification
Federico Matteo Benčić, Ivana Podnar Žarko
A new node joining a blockchain network first synchronizes with the network to verify ledger state by downloading the entire ledger history. We present Aurora, a probabilistic algo…
Distributed Ledger Technology: Blockchain Compared to Directed Acyclic Graph
Federico Matteo Benčić, Ivana Podnar Žarko
Nowadays, blockchain is becoming a synonym for distributed ledger technology. However, blockchain is only one of the specializations in the field and is currently well-covered in e…