Data-intensive services in the Computing Continuum must balance analytics quality, resource usage, and cost across heterogeneous nodes with limited and uneven capacity. This balance becomes especially difficult when resource scaling reaches capacity limits, because changes in demand and cluster pressure must then be ab...
Javier Mateos-Bravo, S. Laso, Juan Luis Herrera et al.· 0 citations
Performance evaluation is essential for understanding, comparing, and improving computing systems, including Distributed Computing Continuum Systems (DCCS). In recent years, computational requirements have changed substantially with the growth of artificial intelligence and large-scale data-driven applications. These a...
Praveen Kumar Donta, Boris Sedlak, Alfreds Lapkovskis et al.· arXiv.org· 0 citations
Inspection of critical infrastructure, such as power lines, is increasingly conducted using unmanned aerial vehicles (UAVs) that capture aerial video for subsequent human review. Although recent edge-based approaches deploy onboard object detectors to identify predefined defect classes, these pipelines remain closed-se...
Reza Farahani, Zoha Azimi, Ilir Murturi et al.· International Conference on...· 1 citation
It is shown that the structure of service-dependency graphs, modelled as DAGs of compute stages, is a primary determinant of whether decentralised, price-based resource allocation works reliably at scale.
Lauri Lovén, Alaa Saleh, Reza Farahani et al.· arXiv.org· 2 citations
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