👉 Regime computing is a framework that extends traditional computing models by incorporating the dynamic and adaptive nature of real-world systems, particularly those with changing environments or requirements. It focuses on designing algorithms and systems that can efficiently adapt to varying conditions, such as fluctuating workloads or evolving user needs. Unlike static models, regime computing emphasizes the ability to self-configure, self-heal, and self-optimize in response to external changes, making it highly suitable for complex, dynamic domains like cloud computing, IoT, and autonomous systems. This approach aims to improve system resilience, resource utilization, and overall performance by enabling continuous learning and adaptation.
