👉 Adjustment computing is an advanced computational paradigm that involves dynamically adapting the structure and parameters of a computing system to optimize performance, efficiency, and resource utilization in response to changing workloads or environmental conditions. Unlike traditional static computing models, adjustment computing systems continuously monitor and analyze their operational parameters, such as load, latency, and energy consumption. Based on this analysis, they autonomously modify aspects like the allocation of computational resources, network configurations, and algorithmic strategies to achieve optimal performance. This adaptive approach enables systems to handle varying demands more effectively, reduce waste, and maintain high levels of service quality in diverse and unpredictable environments.
