👉 Murphy computing is an innovative approach to distributed computing that leverages the collective power of edge devices and IoT sensors to process data closer to where it's generated, rather than relying on centralized cloud servers. This model involves a network of interconnected devices, often referred to as "Murphys," which can include smart home appliances, wearables, and industrial sensors. These devices collect, analyze, and share data in real-time, enabling faster decision-making and reducing latency. By processing data locally, Murphy computing enhances privacy, reduces bandwidth usage, and improves overall system efficiency, making it particularly suitable for applications requiring immediate responses, such as autonomous vehicles, smart cities, and industrial automation. This decentralized architecture not only optimizes resource utilization but also increases the resilience and scalability of computing systems.