Veritas Technologies LLC

Shreenivas Baitule

Sudhakar Paulzagade

The computer-implemented method for apportioning bandwidth in storage systems may include (i) identifying a plurality of storage media and at least one workload that is assigned a quantity of credits at the beginning of a predetermined time period that regulate a volume of bandwidth for input/output requests from the workload, (ii) detecting an input/output request from the workload, (iii) deducting, before fulfilling the input/output request, a number of credits from a current number of credits available to the workload based on an estimated quantity of bandwidth consumed by the input/output request, (iv) measuring an actual quantity of bandwidth consumed by the input/output request, and (v) adjusting the current number of credits available to the workload for the predetermined time period based on a difference between the estimated quantity of bandwidth and the actual quantity of bandwidth.

Systems and methods for apportioning bandwidth in storage systems

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.

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Pune, India

Shreenivas Baitule