👉 Eau computing is a paradigm shift in data processing that moves away from traditional centralized data centers towards a decentralized, edge-based architecture. It leverages a network of distributed edge devices, such as IoT sensors, smartphones, and other connected devices, to process data locally or in close proximity to the source of data generation. This approach reduces latency, conserves bandwidth, and enhances privacy by minimizing the need to transmit raw data to centralized servers. Instead, edge devices perform initial data filtering, aggregation, and analysis, sending only relevant insights to the cloud for further processing. This model is particularly beneficial for applications requiring real-time decision-making, such as autonomous vehicles, smart cities, and industrial automation, enabling more efficient and responsive computing while alleviating the strain on central infrastructure.
