Optimizing storage quality of service (sqos) by dynamically determining and managing optimal queue depth and system capacity

Abstract

Various systems and methods are provided for optimizing Storage Quality of Service (SQoS) by dynamically determining and managing queue depth and system capacity in a computer storage system. In one embodiment, this functionality includes determining a queue depth value for a given epoch, and then advertising that queue depth value to one or more applications. Upon receiving a number of I/O operations that does not exceed the advertised queue depth, the storage tier processes those I/O operations. The system then evaluates the system capacity in light of the current queue depth value and other variables, such as the observed (or 'seen') latency, to determine whether the optimal queue depth value has been reached. Until the optimal queue depth value has been reached, the process outlined above is repeatedly iteratively (with dynamically increasing queue depth values) in each ensuing epoch until the optimal queue depth value is determined.