Netapp, Inc.

Yulu Diao

Kevin Lee Kidney

Randolph Wesley Sterns

Mark Edward Regester

Arindam Banerjee

Charles E Nichols

Scott Terrill

Anthony D Gitchell

Don Humlicek

A system for dynamically configuring and scheduling input/output (I/O) workloads among processing cores is disclosed. Resources for an application that are related to each other and/or not multicore safe are grouped together into work nodes. When these need to be executed, the work nodes are added to a global queue that is accessible by all of the processing cores. Any processing core that becomes available can pull and process the next available work node through to completion, so that the work associated with that work node software object is all completed by the same core, without requiring additional protections for resources that are not multicore safe. Indexes track the location of both the next work node in the global queue for processing and the next location in the global queue for new work nodes to be added for subsequent processing.

Balanced, opportunistic multicore I/O scheduling from non-SMP applications

Systems and methods for improving caching mechanisms in a storage system are disclosed. The method includes storing data associated with a write input/output (I/O) request at a cache; determining an amount of dirty data stored in the cache, where the dirty data is data in the cache that has not yet been written to a persistent storage location managed by a storage system; determining if the amount of dirty data exceeds a threshold value; determining a cache flush rate based on the amount of dirty data stored at the cache, when the amount of dirty data exceeds the threshold value; and writing data from the cache at the determined cache flush rate to the persistent storage location.

Methods and systems for dynamically controlled caching

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Bel Aire, KS, United States of America

Yulu Diao