Veritas Technologies LLC

Prasanna V Wakhare

Niranjan Sanjiv Pendharkar

Sudhakar Paulzagade

Shailesh Marathe

Suhas Ashok Dantkale

Satyendra Thakur

Chaitanya Yalamanchili

David H Lin

Christopher Uhler

Saurabh Jain

Gaurav Bhandarkar

Dhruv Bhatnagar

A system and method for implementing a Quality of Service based upon data deduplication is provided. The method may include deduplicating data and receiving a corresponding I/O request; wherein the data includes an associated dedupe count. The method may further include performing the I/O request based upon the dedupe count. For example, where no deduplication exists as indicated by a dedupe count of zero, the I/O request may be scheduled for processing when the sum of the current clock tick and the tag ratio are less than or equal to the next clock tick. In the alternative, where deduplication exists as indicated by a dedupe count that is greater than zero, the I/O request may be scheduled for processing, when the sum of the current clock tick, a negative value of the dedupe ratio, and the tag ratio are less than or equal to the next clock tick.

System and method for dedupe aware storage quality of service

The disclosed computer-implemented method for managing quality of service may include (i) installing, at a network protocol layer, a latency monitoring plug-in that monitors latency at the network protocol layer as distinct from a storage layer beneath the network protocol layer, (ii) providing, by the latency monitoring plug-in, feedback reporting the latency at the network protocol layer to a quality of service engine that monitors characteristics of the storage layer such that the quality of service engine learns about the latency at the network protocol layer, and (iii) adjusting, by the quality of service engine, a calculation of system capacity, based on both the feedback from the latency monitoring plug-in reporting the latency at the network protocol layer and the monitored characteristics of the storage layer to enable an application to adhere to a service level agreement. Various other methods, systems, and computer-readable media are also disclosed.

Systems and methods for managing quality of service

The disclosed computer-implemented method for managing quality of service may include (i) providing, in a network storage environment, a quality of service engine to regulate network traffic by assigning three separate factors to applications that are consuming a network resource, (ii) adding, to a configuration of the quality of service engine, a fourth priority factor that establishes two tiers of priority among applications that generate traffic that is regulated by the quality of service engine, and (6) regulating, by the quality of service engine based on the fourth priority factor, network traffic in the network storage environment by providing access to the network resource to an application assigned a higher priority over another application assigned a lower priority such that the fourth priority factor enables the quality of service engine to adhere to a service level agreement. Various other methods, systems, and computer-readable media are also disclosed.

A method for two level quality of service scheduling for latency and queue depth control in a storage system is provided. The method includes determining queue depth as input/output operations per unit time that a storage subsystem can sustain, for each of a plurality of queues corresponding to storage subsystems in the storage system and determining system capacity as total input and output operations per unit time that the storage system can sustain, based on the queue depth of each of the plurality of queues. The method includes determining whether to accept or deny an input/output request for placement onto an input/output stack, based on a comparison of credits of the input/output request to the system capacity as determined on an ongoing basis, and placing the input/output request from the input/output stack onto one of the plurality of queues based on whether doing so maintains the queue depth of the one of the plurality of queues.

Two level QoS scheduling for latency and queue depth control

The disclosed computer-implemented method for improving quality of service within hybrid storage systems may include (1) monitoring a performance measurement of a hybrid storage system that includes first and second types of storage devices that handle I/O throughput in connection with an application, (2) determining, based at least in part on the monitored performance measurement, an approximate amount of the I/O throughput handled by the first type of storage device over a period of time, (3) determining, based at least in part on the approximate amount of I/O throughput, a rate at which the application is allowed to deliver subsequent I/O throughput to the hybrid storage system over a subsequent period of time, and then (4) regulating, based at least in part on the rate, the subsequent I/O throughput in connection with the application over the subsequent period of time. Various other methods, systems, and computer-readable media are also disclosed.

Systems and methods for improving quality of service within hybrid storage systems

A method for Quality of Service (QoS) for internal input/output (I/O) using an internal flow mechanism in a storage system is provided. The method includes establishing internal I/O flows corresponding to external I/O flows for one or more computing machines or virtual machines implemented with physical computing resources requesting I/Os. The method includes inheriting service-level agreement (SLA) values from the external I/O flows to the internal I/O flows and determining demands for the external I/O flows and the internal I/O flows. The method includes distributing credits to the internal I/O flows and the external I/O flows according to minimum I/O operations per unit time values, based on the service-level agreement values, and distributing remaining credits to the external I/O flows and the internal I/O flows according to priority and demand of each of the external I/O flows and the internal I/O flows.

Quality of service for internal I/Os using internal flow mechanism

The disclosed computer-implemented method for allocating input/output bandwidth in storage systems may include (1) allocating, in accordance with a pre-defined service-level agreement, an assigned amount of input/output bandwidth to an application that performs actions on a storage system, (2) receiving a request from the application to perform an input/output operation on the storage system, (3) identifying an amount of latency associated with fulfilling the input/output operation, (4) calculating, based at least in part on the amount of latency associated with fulfilling the input/output operation, an amount of input/output bandwidth consumed by the input/output operation, (5) deducting the amount of input/output bandwidth consumed by the input/output operation from the assigned amount of input/output bandwidth allocated to the application, and (6) allocating bandwidth to future input/output requests from the application from the remaining amount of input/output bandwidth allocated to the application. Various other methods, systems, and computer-readable media are also disclosed.

Systems and methods for allocating input/output bandwidth in storage systems

A computer-implemented method for end-to-end quality of service control in distributed systems may include (1) identifying a plurality of computing systems, wherein each computing system (a) is coupled to a storage resource for the computing system, (b) hosts a plurality of applications that share the storage resource coupled to the computing system, (c) hosts a quality of service agent that limits throughput utilization of the storage resource by each of the plurality of applications, and (d) copies input/output data generated by the applications to a secondary computing system, (2) determining a throughput capacity of the secondary computing system, and (3) providing feedback to at least one quality of service agent hosted by at least one computing system to further limit throughput utilization of at least one of a plurality of applications hosted by the computing system. Various other methods, systems, and computer-readable media are also disclosed.

Systems and methods for end-to-end quality of service control in distributed systems

Various systems, methods, and processes to perform adaptive throttling of write operations in hybrid storage environments are disclosed. A credit value is assigned to a virtual machine. Input/output (I/O) operations generated by an application executing on the virtual machine are throttled based on the credit value assigned to the virtual machine. The credit value is assigned to the virtual machine in proportion to static measures and dynamic conditions. The static measures and the dynamic conditions are used to calculate a quality of service provided to the virtual machine by a storage system.

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Nagpur, India

Prasanna V Wakhare