👉 Cancel computing, also known as dynamic resource allocation or elastic scaling, is a computing paradigm that allows systems to adjust their computational resources—such as CPU, memory, and storage—in real-time based on current demand. This approach contrasts with static resource allocation where resources are fixed and assigned beforehand. In a cancel computing environment, resources are allocated to tasks as needed, scaling up during periods of high demand and scaling down when demand decreases. This flexibility helps optimize resource utilization, reduce costs, and improve system performance by ensuring that resources are not wasted on idle or underutilized components. It is particularly beneficial in cloud computing and microservices architectures, where workloads can be unpredictable and vary significantly over time.
