Netapp, Inc.

Phil Larson

Curtis E Hrischuk

Alma Dimnaku

Abdul Basit

Kevin Faulkner

Leon Fairbanks

Siu Wu

Vinod Vasant Pai

Methods and systems for inter-cluster storage system monitoring and analysis are provided. The method includes monitoring a non-volatile memory delay center for a first storage cluster having a first node and a second node configured to operate as a first high availability pair, where data for a write request to write data to the first node is also written to the second node as well as to a second cluster having a third node and a fourth node, where the third node and the fourth node are also configured to operate as a second high availability pair to store the data for the write request at one or both of the third and fourth node. The non-volatile memory delay center is used to monitor and detect latency due to any delay caused by a non-volatile memory of the first node used as a write cache.

Method and system for monitoring and analyzing quality of service in a metro-cluster

Methods and systems for presenting a plurality of options to a client for using storage space in a cloud computing environment are provided. Each option is associated with a latency target and/or a throughput target. The latency target provides a delay in processing input/output (I/O) requests and the throughput target provides a number of I/O requests that are processed within a unit of time. An existing volume is assigned to the client when the existing volume meets a guaranteed latency target and/or a guaranteed throughput target for an option selected from the plurality of options, otherwise a new volume is allocated.

Method and system for presenting storage in a cloud computing environment

Methods and systems for managing resources in a networked storage environment are provided. One method includes using a queuing model for a resource that processes a plurality of requests at a networked storage environment for predicting a relationship between latency and utilization of the resource. The queueing model uses inter-arrival time and service time to determine latency, where inter-arrival time is a duration that tracks when requests arrive at the resource and the service time tracks a duration for servicing the requests by the resource. The method further includes identifying optimum utilization of the resource using the predicted relationship between latency and utilization, where the optimum utilization is an indicator of resource utilization beyond which throughput gains for a workload is smaller than increase in latency; and determining available performance capacity for the resource using the optimum utilization and actual utilization of the resource.

Methods and systems using model based techniques for determining performance capacity of a resource of a networked storage environment

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Chapel Hill, NC, United States of America

Phil Larson