Frequent large-scale wildfires have detrimental effects on ecosystems, degrade air and water quality, harm biodiversity, and diminish natural aesthetics. An edge-based decision support system is essential for preventing and mitigating wildfire incidents. This paper introduces a novel solution for an edge-based wildfire decision support system, developed as part of the SILVANUS project, an EU Commission-funded initiative aimed at wildfire management. The solution exhibits the challenges and solutions for an environment that features cloud-edge deployment, multi-tenancy, and diverse data sources and consumption methods. This paper overviews the system components, context and user products. The evaluation shows that the proposed solution sped up the ingestion time for small-size files by around 20-fold and for large-size files by around 33-fold.

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An Innovative Edge-Based Decision Support System from the SILVANUS Project

  • Michal Sworzeniowski,
  • Thuy Truong,
  • Mustafa Al-Bado,
  • Deirbhile Healy

摘要

Frequent large-scale wildfires have detrimental effects on ecosystems, degrade air and water quality, harm biodiversity, and diminish natural aesthetics. An edge-based decision support system is essential for preventing and mitigating wildfire incidents. This paper introduces a novel solution for an edge-based wildfire decision support system, developed as part of the SILVANUS project, an EU Commission-funded initiative aimed at wildfire management. The solution exhibits the challenges and solutions for an environment that features cloud-edge deployment, multi-tenancy, and diverse data sources and consumption methods. This paper overviews the system components, context and user products. The evaluation shows that the proposed solution sped up the ingestion time for small-size files by around 20-fold and for large-size files by around 33-fold.