Abstract: A computer implemented method in a data processing system for fingerprinting input/output workloads for input/output schedulers. Requests are identified in a workload for an input/output scheduler. Each request is classified to form a set of classifications. Whether an action is needed is determined based on the set of classifications. If the action is needed, the action is initiated.

Abstract: Methods, systems, and media are disclosed for autonomic system tuning of simultaneous multithreading (“SMT”). In one embodiment, the method for autonomic tuning of at least one SMT setting for an optimized processing, such as via throughput, latency, and power consumption, of a workload on a computer system includes calling, by a kernel, an SMT scheduler having at least one hook into a genetic library. Further, the method includes obtaining, by the SMT scheduler through the at least one hook, genetic data from the genetic library for the optimized processing of the workload. Further still, the method includes tuning, by the SMT scheduler and based on the obtaining, the at least one SMT setting for at least one cpu of the computer system.