abhisheks-gh/Veritas_Predictive-Caching-for-File-Systems
Developed for Veritas Technologies LLC, this project optimizes DB workloads by predicting future file accesses and caching them in advance. Utilizing inotify for file event monitoring and Python for training a Random Forest model, it enhances efficiency and reduces latency compared to traditional caching methods, adapting to dynamic data access.
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C++
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Apache-2.0
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Sep 21, 2024
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