ResAA

ResAA is an acronym used in technology literature to denote resource allocation and access systems. It refers to methods, algorithms, and software that control and distribute limited computing resources, such as CPU time, memory, storage, and network bandwidth, among competing tasks or tenants. The aim of ResAA approaches is to optimize objectives like overall system efficiency, fairness, and quality of service, while providing isolation and accountability.

In practice, ResAA encompasses centralized schedulers, distributed controllers, and middleware that monitor resource usage and enforce allocation decisions. Common components include a resource monitor to track usage, a decision engine that computes allocations based on policies and market or control-theory ideas, and an enforcement mechanism that applies limits or priorities. ResAA systems may support dynamic provisioning, preemption, reservation, and elasticity, enabling rapid adaptation to workload changes.

Applications span cloud data centers, high-performance computing clusters, edge and fog computing, and network infrastructure. Evaluation typically considers utilization, fairness (e.g., Jain's index), latency, throughput, tail latency, and compliance with service-level agreements.

Notes: The term ResAA is used in multiple contexts and does not refer to a single universally adopted standard. Different organizations may define the acronym differently or implement bespoke solutions. See also resource management, scheduling, fair queuing, quality of service, and admission control.