👉 Stress computing, also known as stress-based or stress-aware computing, is a paradigm that leverages the concept of "stress" to enhance computational efficiency and adaptability. Stress, in this context, refers to the dynamic allocation of resources based on the varying demands of tasks or workloads. By monitoring and analyzing stress levels across different computational components, systems can intelligently distribute tasks to optimize performance, reduce energy consumption, and improve fault tolerance. For instance, if a particular processor or memory unit is underutilized, stress computing can shift tasks to more active components, ensuring a balanced workload and efficient resource utilization. This approach is particularly beneficial in heterogeneous computing environments, where diverse hardware components with different capabilities need to work together seamlessly.
