Fair Scheduling
Fair Scheduling is a resource allocation and job scheduling concept in computing systems that aims to distribute resources (like CPU time, memory, or network bandwidth) equitably among multiple users, processes, or tasks. It ensures that no single entity monopolizes resources, preventing starvation and promoting fairness in multi-user or multi-tenant environments. This concept is commonly applied in operating systems, cloud computing, and distributed systems to optimize performance and user satisfaction.
Developers should learn Fair Scheduling when building or managing systems where multiple users or applications compete for limited resources, such as in cloud platforms, multi-core processors, or real-time applications. It is crucial for preventing resource starvation, ensuring predictable performance, and meeting service-level agreements (SLAs) in environments like data centers, virtual machines, or container orchestration. For example, in Kubernetes, fair scheduling helps allocate pods across nodes efficiently to balance workloads.