# US 12,192,281 B2 · Machine learning based assignment of service levels in a networked storage system > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 12,192,281 B2 - Document ID: US12192281B2 - Status: Granted - Kind: B2 - Application number: 18/367,055 - Filed: 2023-09-12 - Published: 2024-01-04 - Granted: 2025-01-07 - Earliest claimed: 2018-06-20 - Assignees: NetApp, Inc. - Applicants: Netapp, Inc. - Inventors: Jayanta Basak; Ameet Deulgaonkar; Siddhartha Nandi - Web page: https://patentgrep.com/patent/US12192281B2 ## CPC - H04L 41/16: using machine learning or artificial intelligence - G06F 3/0611: {in relation to response time} - G06F 3/0631: {by allocating resources to storage systems} - G06F 3/067: {Distributed or networked storage systems, e.g. storage area networks [SAN], network attached storage [NAS]} - G06N 20/00: Machine learning - H04L 41/5009: Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF] - H04L 41/5025: by proactively reacting to service quality change, e.g. by reconfiguration after service quality degradation or upgrade - H04L 67/1097: for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS] - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS ## Abstract Methods and systems for a networked storage system is provided. One method includes transforming by a processor, performance parameters associated with storage volumes of a storage system for representing each storage volume as a data point in a parametric space; generating by the processor, a plurality of bins in the parametric space using the transformed performance parameters; adjusting by the processor, bin boundaries for the plurality of bins for defining a plurality of service levels for the storage system based on the performance parameters; and using the defined plurality of service levels for operating the storage system. ## Claims ### Claim 1 A method, comprising: transforming, by a processor, performance parameters associated with storage volumes of a storage system for representing each storage volume as a data point within a parametric space, the parametric space defined by the transformed performance parameters; generating, by the processor, a plurality of bins in the parametric space, a size of each bin based on a deviation associated with the transformed performance parameters; adjusting, by the processor, bin boundaries for the plurality of bins, such that upon bin boundary adjustment, each bin includes a certain number of storage volumes; defining, by the processor, a plurality of custom service levels for the storage system, based on a number of storage volumes within each bin and a desired number of custom service levels; and using the defined plurality of custom service levels for operating the storage system. ### Claim 2 (depends on 1) The method of claim 1, wherein the transformed performance parameters include a peak latency value for each storage volume. ### Claim 3 (depends on 1) The method of claim 1, wherein the transformed performance parameters include a peak Input/Output (I/O) density for each storage volume. ### Claim 4 (depends on 1) The method of claim 1, further comprising: receiving, by the processor, a specified number of service levels for defining the desired number of custom service levels. ### Claim 5 (depends on 1) The method of claim 1, further comprising: receiving, by the processor, specified deviation limit for the transformed performance parameters for defining the deviation. ### Claim 6 (depends on 1) The method of claim 1, further comprising: receiving, by the processor, a specified deviation limit for the transformed performance parameters for defining the deviation, and a specified number of service levels for defining the plurality of custom service levels. ### Claim 7 (depends on 1) The method of claim 1, wherein a new storage volume of the storage system is mapped to one of the defined, plurality of custom service levels. ### Claim 8 A system comprising: a memory containing machine readable medium comprising machine executable code having stored thereon instructions; and a processor coupled to the memory configured to execute the machine executable code to: transform performance parameters associated with storage volumes of a storage system for representing each storage volume as a data point within a parametric space, the parametric space defined by the transformed performance parameters; generate a plurality of bins in the parametric space, a size of each bin based on a deviation associated with the transformed performance parameters; iteratively adjust bin boundaries for the plurality of bins, such that upon bin boundary adjustment, each bin includes a threshold number of storage volumes; define a plurality of custom service levels for the storage system, based on a number of storage volumes represented within each bin and a desired number of custom service levels; and use the defined plurality of custom service levels for operating the storage system. ### Claim 9 (depends on 8) The system of claim 8, wherein the transformed performance parameters include a peak latency value for each storage volume. ### Claim 10 (depends on 8) The system of claim 8, wherein the machine executable code further causes to: receive a specified number of service levels for defining the desired number of custom service levels. ### Claim 11 (depends on 8) The system of claim 8, wherein the machine executable code further causes to: receive a specified deviation limit for the transformed performance parameters for defining the deviation. ### Claim 12 (depends on 8) The system of claim 8, wherein the machine executable code further causes to: receive a specified deviation limit for the transformed performance parameters for defining the deviation, and a specified number of service levels for defining the plurality of custom service levels. ### Claim 13 (depends on 8) The system of claim 8, wherein a new storage volume of the storage system is mapped to one of the defined, plurality of custom service levels. ### Claim 14 A non-transitory machine readable storage medium having stored thereon instructions for performing a method, comprising machine executable code which when executed by at least one machine, causes the machine to: transform, by a processor, performance parameters associated with storage volumes of a storage system for representing each storage volume as a data point within a parametric space, the parametric space defined by the transformed performance parameters; generate, by the processor, a plurality of bins in the parametric space, a size of each bin based on a deviation associated with the transformed performance parameters; iteratively adjust by the processor, bin boundaries for the plurality of bins, such that upon bin boundary adjustment, each bin includes a threshold number of storage volumes; define, by the processor, a plurality of custom service levels for the storage system, based on a number of storage volumes represented within each bin and a desired number of custom service levels; and use the defined plurality of custom service levels for operating the storage system. ### Claim 15 (depends on 14) The non-transitory machine readable storage medium of claim 14, wherein the transformed performance parameters include a peak latency value for each storage volume. ### Claim 16 (depends on 14) The non-transitory machine readable storage medium of claim 14, wherein the transformed performance parameters include a peak Input/Output (I/O) density for each storage volume. ### Claim 17 (depends on 14) The non-transitory machine readable storage medium of claim 14, wherein the machine executable code which when executed, further causes the machine to: receive, by the processor, a specified number of service levels for defining the desired number of custom service levels. ### Claim 18 (depends on 14) The non-transitory machine readable storage medium of claim 14, wherein the machine executable code which when executed, further causes the machine to: receive, by the processor, a specified deviation limit for the transformed performance parameters for defining the deviation. ### Claim 19 (depends on 14) The non-transitory machine readable storage medium of claim 14, wherein the machine executable code which when executed, further causes the machine to: receive, by the processor, a specified deviation limit for the transformed performance parameters for defining the deviation, and a specified number of service levels for defining the plurality of custom service levels. ### Claim 20 (depends on 14) The non-transitory machine readable storage medium of claim 14, wherein a new storage volume of the storage system is mapped to one of the defined, plurality of custom service levels.