John Jason Sprague

US Patent:

20230106208, Apr 6, 2023

Filed:

Feb 14, 2022

Appl. No.:

17/650917

Inventors:

- San Jose CA, US
Kai Niebergall - Ditzingen, DE
Francisco Jose Assis Rosa - Sudbury MA, US
John Jason Sprague - Westford MA, US
Omri Kessel - Newton MA, US

Assignee:

NETAPP, INC. - San Jose CA

International Classification:

G06F 3/06

Abstract:

Methods and systems for a networked storage system are provided. One method includes predicting an IOPS limit for a plurality of storage pools based on a maximum allowed latency of each storage pool, the maximum allowed latency determined from a relationship between the retrieved latency and a total number of IOPS from a resource data structure; identifying a storage pool whose utilization has reached a threshold value, the utilization based on a total number of IOPS directed towards the storage pool and a predicted IOPS limit; detecting a bully workload based on a numerical value determined from a total number of IOPS issued by the bully workload for the storage pool and a rising step function; and implementing a corrective action to reduce an impact of the bully workload on a victim workload.

US Patent:

20170250919, Aug 31, 2017

Filed:

Feb 29, 2016

Appl. No.:

15/056058

Inventors:

- Sunnyvale CA, US
Keren Dagan - Lexington MA, US
Michael Edward Stapp - Westford MA, US
Aashay Yogesh Joshi - Nashua NH, US
Daniel Nuriyev - Sharon MA, US
John Jason Sprague - Westford MA, US

Assignee:

NETAPP, INC. - Sunnyvale CA

International Classification:

H04L 12/911

Abstract:

Methods and systems for a networked storage environment are provided. An application executed by a computing device using a plurality of resources in a networked storage environment for storing and retrieving application data is identified. Performance data of the plurality of resources is collected and historical performance data is retrieved. The collected and historical performance data for the plurality of resources is used to determine an overall anomaly score for the application indicating behavior of the application over time and individual anomaly scores for each resource with an indicator highlighting behavior of a resource that impacts the overall anomaly score for the application.