VG-Prefetcher Cache: Towards Edge-Based Time Series Data Management Using Visibility Graph Prefetching - Archive ouverte HAL
Communication Dans Un Congrès Année : 2024

VG-Prefetcher Cache: Towards Edge-Based Time Series Data Management Using Visibility Graph Prefetching

Akram Bensalem
Julien Lallet
Andrea Enrici

Résumé

The demand for efficient and reliable cloud computing systems is increasing. However, effectively managing data workloads in edge cloud systems, especially for connected cars, can be challenging. To address this issue, we have developed a new cache management technique named VG-Prefetcher Cache that uses visibility graphs to handle time series data more effectively. Our approach involves predicting future data and prefetching it into the cache, which reduces retrieval time and improves system performance. VG-Prefetcher Cache presents a promising approach for overcoming challenges in managing data workloads, thus paving the way for a more efficient and reliable cloud computing system.
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hal-04722876 , version 1 (06-10-2024)

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Akram Bensalem, Laurent d'Orazio, Julien Lallet, Andrea Enrici. VG-Prefetcher Cache: Towards Edge-Based Time Series Data Management Using Visibility Graph Prefetching. International Conference on Scientific and Statistical Database Management (SSDBM), Jul 2024, Rennes France, France. pp.1-4, ⟨10.1145/3676288.3676304⟩. ⟨hal-04722876⟩
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