RaspberryPi_for_Decentralized_Data_Processing.pptx

raspberry pi

1. Raspberry Pi for Decentralized Data Processing

2. Introduction Raspberry Pi enables distributed and collaborative data analytics. Acts as a fog node in decentralized edge computing environments.

3. Data Handling Capabilities Performs local filtering, aggregation, and preprocessing of IoT data. Sends only relevant or summarized data to the cloud.

4. Decentralized Architecture Multiple Raspberry Pis can form a fog layer network. Improves system resilience and reduces dependency on centralized cloud systems.

5. Advantages Enhanced privacy as sensitive data remains local. Lower network congestion and improved fault tolerance. Cost-effective and energy-efficient for large-scale deployments.

6. Applications Smart building systems managing local zones independently. Collaborative environmental monitoring using multiple Pi nodes.