The paper "Cache-IT: A distributed architecture for proactive edge caching in heterogeneous IoT scenarios" by Ivan Zyrianoff, Lorenzo Gigli, Federico Montori, Luca Sciullo, Carlos Kamienski, and Marco Di Felice proposes CACHE-IT, a proactive edge caching framework designed to address the challenges of low-power IoT devices and their unique requirements. The framework decouples the caching strategy algorithm from the underlying architecture, allowing for customization based on specific application needs. Through extensive simulations, the authors demonstrate that CACHE-IT positively impacts system latency and hit rate. The framework is evaluated in a real-world Structure Health Monitoring (SHM) system, showing its effectiveness in reducing latency, improving hit rates, and minimizing the number of requests sent to data providers. CACHE-IT's key contributions include flexibility, IoT-oriented design, advanced caching mechanisms, and twofold validation through simulations and real-world deployment. The architecture is designed to be scalable, interoperable, and adaptable to dynamic IoT environments, making it a robust solution for proactive edge caching in heterogeneous IoT scenarios.The paper "Cache-IT: A distributed architecture for proactive edge caching in heterogeneous IoT scenarios" by Ivan Zyrianoff, Lorenzo Gigli, Federico Montori, Luca Sciullo, Carlos Kamienski, and Marco Di Felice proposes CACHE-IT, a proactive edge caching framework designed to address the challenges of low-power IoT devices and their unique requirements. The framework decouples the caching strategy algorithm from the underlying architecture, allowing for customization based on specific application needs. Through extensive simulations, the authors demonstrate that CACHE-IT positively impacts system latency and hit rate. The framework is evaluated in a real-world Structure Health Monitoring (SHM) system, showing its effectiveness in reducing latency, improving hit rates, and minimizing the number of requests sent to data providers. CACHE-IT's key contributions include flexibility, IoT-oriented design, advanced caching mechanisms, and twofold validation through simulations and real-world deployment. The architecture is designed to be scalable, interoperable, and adaptable to dynamic IoT environments, making it a robust solution for proactive edge caching in heterogeneous IoT scenarios.