Description: Adaptive Resource Management is a dynamic approach to managing resources in virtualized environments, based on current demand and usage. This concept focuses on optimizing the allocation of computational resources, such as CPU, memory, and storage, according to the changing needs of applications and services. In virtualization environments, where multiple virtual machines can coexist on a single physical hardware, adaptive management allows for the automatic adjustment of resources assigned to each virtual machine, ensuring optimal performance and efficient hardware utilization. This approach not only improves operational efficiency but also reduces costs by avoiding resource overprovisioning. Adaptive Resource Management relies on advanced technologies such as artificial intelligence and machine learning, which enable the prediction of usage patterns and real-time resource adjustments. Furthermore, it is particularly relevant in distributed computing environments, where latency and responsiveness are critical, as it allows for effective resource management across various devices and the cloud. In summary, Adaptive Resource Management is essential for maximizing performance and efficiency in virtualized environments, continuously adapting to the changing demands of the system.
