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cs.DC2026

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.DC2025

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum

Andrea Morichetta, Stefan Nastic, Victor Casamayor Pujol +1

We present and formalize a general approach for profiling workload by leveraging only a priori available static metadata to supply appropriate resource needs. Understanding the req…

cs.DC2024

Towards Adaptive Asynchronous Federated Learning for Human Activity Recognition

Rastko Gajanin, Anastasiya Danilenka, Andrea Morichetta +1

In this work, we tackle the problem of performing multi-label classification in the case of extremely heterogeneous data and with decentralized Machine Learning. Solving this issue…

cs.DC2024

RainCloud: Decentralized Coordination and Communication in Heterogeneous IoT Swarms

Filip Loisel, Geri Zeqo, Andrea Morichetta +2

The increasing volume and complexity of IoT systems demand a transition from the cloud-centric model to a decentralized IoT architecture in the so-called Computing Continuum, with…

cs.DC2024

SLO-Aware Task Offloading within Collaborative Vehicle Platoons

Boris Sedlak, Andrea Morichetta, Yuhao Wang +4

In the context of autonomous vehicles (AVs), offloading is essential for guaranteeing the execution of perception tasks, e.g., mobile mapping or object detection. While existing wo…