USPTO Examiner PEUGH BRIAN R - Art Unit 2133

Recent Applications

Detailed information about the 100 most recent patent applications.

Application NumberTitleFiling DateDisposal DateDispositionTime (months)Office ActionsRestrictionsInterviewAppeal
19032050SELECTIVE DATA CORRUPTION BEFORE ACTUAL ERASE OPERATION FOR DATA SECURITYJanuary 2025March 2026Allow1300NoNo
19011807MONITORING WRITE AMPLIFICATION METRICS FOR A FLASH-BASED STORAGE SYSTEMJanuary 2025February 2026Allow1400NoNo
18987300INFORMATION PROCESSING SYSTEM AND INFORMATION PROCESSING METHODDecember 2024February 2026Allow1400NoNo
18946517MEMORY DEVICE, MEMORY SYSTEM INCLUDING MEMORY DEVICE, AND OPERATING METHOD OF MEMORY DEVICENovember 2024November 2025Allow1200NoNo
18934502NONVOLATILE MEMORY DEVICE AND OPERATION METHOD THEREOFNovember 2024October 2025Allow1100NoNo
18931709DYNAMIC MEMORY MANAGEMENT SYSTEMOctober 2024February 2026Allow1510NoNo
18915820FLASH REGISTRY WITH ON-DISK HASHINGOctober 2024October 2025Allow1200NoNo
18908395DISTRIBUTED DATA STORAGE CONTROL METHOD AND APPARATUS, AND ELECTRONIC DEVICEOctober 2024October 2025Allow1200NoNo
18889524DATA MANAGEMENT SYSTEM AND METHOD OF CONTROLLINGSeptember 2024February 2026Allow1710NoNo
18830800DATA PROCESSING APPARATUS AND DATA PROCESSING METHODSeptember 2024September 2025Allow1200NoNo
18812171INFORMATION PROCESSING DEVICEAugust 2024August 2025Allow1200NoNo
18800181OBJECT STORE DATA MANAGEMENT CONTAINER WITH INTEGRATED SNAPSHOT DIFFERENCE INTERFACE FOR CATALOGING SNAPSHOTS WHILE RESIDENT IN OBJECT STOREAugust 2024January 2026Allow1710NoNo
18797257MEMORY DEFRAGMENTATION METHOD AND APPARATUS, DEVICE, AND STORAGE MEDIUMAugust 2024July 2025Allow1100NoNo
18797068MEMORY SYSTEMAugust 2024December 2025Allow1610NoNo
18777080STORING NON-VOLATILE MEMORY INITIALIZATION FAILURESJuly 2024November 2025Allow1610NoNo
18772587USE OF AN LBA SCATTER LIST TO CALCULATE AN ADDRESS CORRESPONDING TO AN ENTRY IN THE LBA SCATTER LISTJuly 2024June 2025Allow1100NoNo
18760049MEMORY MANAGEMENT METHOD FOR IMPROVING THE UTILIZATION RATE, MEMORY STORAGE DEVICE, AND MEMORY CONTROL CIRCUIT UNITJuly 2024September 2025Allow1520NoNo
18754491MANAGING COMPUTATIONAL STORAGE OPERATIONSJune 2024November 2025Allow1710NoNo
18748255Storage System, Data Access Method, Apparatus, and DeviceJune 2024February 2026Allow2010NoNo
18746987AUTOMATIC WORDLINE STATUS BYPASS MANAGEMENTJune 2024January 2025Allow700NoNo
18745660OPTIMIZING ALLOCATION UNIT SIZES FOR HETEROGENEOUS STORAGE SYSTEMSJune 2024November 2025Allow1710NoNo
18732494COMPRESSION OF LOGICAL-TO-PHYSICAL ADDRESS INDIRECTION TABLE ON SOLID-STATE DRIVESJune 2024March 2026Allow2110NoNo
18665993STORAGE SYSTEM HAVING A HOST DIRECTLY MANAGE PHYSICAL DATA LOCATIONS OF STORAGE DEVICEMay 2024September 2025Allow1600NoNo
18662199SERVICING READ REQUESTSMay 2024May 2025Allow1200NoNo
18653176SYSTEMS AND METHODS FOR ACHIEVING NEAR ZERO IMPACT DURING NODE FAILURE IN A CLUSTER SYSTEMMay 2024December 2025Allow2010NoNo
18650792ALLOCATING PARTITIONS FOR STORING A DATA SET FOR SUBSEQUENT QUERY EXECUTIONApril 2024December 2024Allow700NoNo
18644254DISTRIBUTED FABRIC LOGICAL BLOCK ADDRESSINGApril 2024September 2025Allow1700NoNo
18644902CACHE-BASED FILE SYSTEM ON OBJECT STORAGEApril 2024August 2025Allow1610NoNo
18638814MEMORY CONTROLLER, CONTROL METHOD OF MEMORY CONTROLLER, AND STORAGE MEDIUMApril 2024April 2025Allow1200NoNo
18638541COMPUTATIONAL STORAGE DEVICE COMMUNICATING WITH HOST USING SHARED MEMORY AND OPERATING METHOD THEREOFApril 2024May 2025Allow1300NoNo
18619447GREEN DISK ARRAY ENCLOSUREMarch 2024June 2025Allow1500NoNo
18612575ELECTRONIC DEVICE STORING MAPPING INFORMATION AND METHOD OF OPERATING THE SAMEMarch 2024June 2025Allow1400NoNo
18608221MEMORY SYSTEM WITH MULTIPLE STRIPING OF RAID GROUPS AND METHOD FOR PERFORMING THE SAMEMarch 2024June 2025Allow1520NoNo
18603891DYNAMIC ADJUSTMENT OF NETWORK RESOURCES BASED ON LOGICAL STORAGE VOLUME WORKING SETMarch 2024June 2025Allow1500NoNo
18603208DATA READING AND WRITING METHOD, SYSTEM AND CONTROL METHODMarch 2024May 2025Allow1400NoNo
18600126SERVICE SYSTEM AND MEMORY MANAGEMENT METHOD AND APPARATUSMarch 2024October 2025Allow1910NoNo
18598112COMPUTER SYSTEM AND MANAGEMENT METHOD FOR COMPUTER SYSTEMMarch 2024July 2025Allow1600NoNo
18590735DATA STORAGE SYSTEM WITH MANAGED FLASHFebruary 2024August 2025Allow1710YesNo
18442851OPTIMIZED READ REQUEST PROCESSING FOR RELOCATED DATAFebruary 2024May 2025Allow1500NoNo
18440804MEMORY SYSTEMFebruary 2024March 2025Allow1300NoNo
18424252AVOIDING DATA REDUCTION DEBT FOR QUICKLY OVERWRITTEN DATAJanuary 2024March 2025Allow1300NoNo
18423002TECHNIQUES FOR TEMPERATURE-BASED ACCESS OPERATIONSJanuary 2024November 2024Allow1000NoNo
18421349IMPROVING DATA CENTER SUSTAINABILITY THROUGH DYNAMIC INCLUSION AND ELIMINATION OF PATHSJanuary 2024January 2025Allow1200NoNo
18414986DATA READ-WRITE SYSTEM AND METHOD THEREOFJanuary 2024August 2025Allow1810NoNo
18415352DATA WRITING METHOD, DATA READING METHOD, APPARATUS, DEVICE, SYSTEM, AND MEDIUMJanuary 2024January 2025Allow1200NoNo
18406515Distributed File System with Disaggregated Data Management and Storage Management LayersJanuary 2024August 2025Allow1910NoNo
18405944METHOD AND APPARATUS FOR USING A STORAGE SYSTEM AS MAIN MEMORYJanuary 2024March 2025Allow1510NoNo
18401201State Management and Persistent Data Storage in a Distributed Cloud Computing NetworkDecember 2023March 2024Allow300NoNo
18540670LOW OVERHEAD PAGE RECOMPRESSIONDecember 2023April 2025Allow1610NoNo
18566200Data Processing Method and Apparatus for Shared Memory, and Device and MediumDecember 2023May 2025Allow1810NoNo
18526433CLOCK MODE DETERMINATION IN A MEMORY SYSTEMDecember 2023March 2025Allow1600NoNo
18515758TLC Data Programming With Hybrid ParityNovember 2023April 2025Allow1700NoNo
18508915DATA FLUSH AT POWER LOSSNovember 2023October 2024Allow1100NoNo
18385812SYSTEM CACHE ARCHITECTURE FOR SUPPORTING MULTIPROCESSOR ARCHITECTURE, AND CHIPOctober 2023April 2025Allow1710NoNo
18497723NAS CENTRAL SEQUENCER, NAS CLIENTS AND JOURNALING METHODSOctober 2023March 2025Allow1600NoNo
18381532Transforming All-Bank Processing-in-Memory Operations into Multiple Masked Processing-in-Memory OperationsOctober 2023May 2025Allow1910YesNo
18380761MEMORY TRAINING FOR POWER STATE CHANGESOctober 2023December 2025Allow2620YesNo
18487366DISTRIBUTED CONTROL PLANE TRACKING OBJECT OWNERSHIP CHANGES WITHIN A DISTRIBUTED STORAGE ARCHITECTUREOctober 2023May 2024Allow700NoNo
18479195DISTRIBUTED CONTROL PLANE FOR FACILITATING COMMUNICATION BETWEEN A CONTAINER ORCHESTRATION PLATFORM AND A DISTRIBUTED STORAGE ARCHITECTUREOctober 2023April 2025Allow1810YesNo
18478659IN-SWITCH EMBEDDING BAG POOLINGSeptember 2023January 2026Allow2820YesNo
18478913REMOTE ACCELERATION FOR DATA DEPENDENT ADDRESS CALCULATIONSeptember 2023March 2025Allow1810YesNo
18477110READ/WRITE OPERATION EXECUTION METHOD AND SOC CHIPSeptember 2023July 2025Allow2220YesNo
18373680STORAGE DEVICE AND OPERATING METHOD THEREOFSeptember 2023November 2024Allow1400NoNo
18372773SYSTEM FOR AUTOMATED DATA RETRIEVAL FROM AN INTEGRATED CIRCUIT FOR EVENT ANALYSISSeptember 2023September 2024Allow1200NoNo
18467140MAGNETIC DISK DEVICE AND CACHE CONTROL METHODSeptember 2023January 2025Allow1610NoNo
18243273BACKUP SYSTEM AND BACKUP METHODSeptember 2023June 2025Abandon2110NoNo
18237735MEMORY STORAGE DEVICE AND WEAR LEVELING METHOD THEREOFAugust 2023May 2025Allow2110YesNo
18453229CONFIGURABLE STORAGE RESOURCE USAGE THROUGH A MULTI-PHASE DATA PROCESSING PIPELINE FOR DATA STORAGE EFFICIENCYAugust 2023December 2024Allow1600NoNo
18231689DATA BLOCK-BASED SYSTEM AND METHODS FOR PREDICTIVE MODELSAugust 2023July 2025Abandon2410NoNo
18363598SYSTEM AND METHOD TO PERFORM CHANGED SECTOR BACKUPS ON A VOLUMEAugust 2023March 2025Allow2010NoNo
18361907APPARATUS AND METHOD FOR ADJUSTING CACHE ALLOCATED FOR READ LOOK AHEADJuly 2023November 2024Allow1600NoNo
18228538SOFTWARE RAID/MANAGEMENT TRUSTED STORAGE-DEVICE-BASED COMMUNICATION SYSTEMJuly 2023September 2024Allow1400NoNo
18227914DIRECT-ATTACHED STORAGE DEVICE SOFTWARE RAID SYSTEMJuly 2023March 2025Allow2020YesNo
18223783NONVOLATILE MEMORY DEVICE AND OPERATION METHOD THEREOFJuly 2023July 2024Allow1200NoNo
18354007System and Method for Machine Learning-Based Data Archiving in Storage SystemsJuly 2023July 2025Allow2420YesNo
18353860Authentication of Sanitize EraseJuly 2023August 2024Allow1300NoNo
18353515INDEPENDENT SET DATA LANES FOR IOD SSDJuly 2023June 2024Allow1110YesNo
18349088ZONE-BASED GARBAGE COLLECTION IN ZNS SSDsJuly 2023April 2025Allow2120NoNo
18347580MEMORY FOR PERFORMING COUNTING OPERATION, MEMORY SYSTEM, AND OPERATION METHOD OF MEMORYJuly 2023July 2024Allow1200NoNo
18336443MEMORY CONTROLLERJune 2023January 2024Allow700NoNo
18320778Training Artificial Intelligence WorkflowsMay 2023August 2024Allow1410YesNo
18320476ALLOCATING PARTITIONS FOR EXECUTING OPERATIONS OF A QUERYMay 2023February 2024Allow800NoNo
18315853INTENT-DRIVEN STORAGE TIERS THAT PROTECT AND REPLICATE ASSETSMay 2023August 2024Allow1600NoNo
18304046RESTORING FROM A TEMPORARY BACKUP TARGET IN AN INTELLIGENT DESTINATION TARGET SELECTION SYSTEM FOR REMOTE BACKUPSApril 2023January 2025Allow2110NoNo
18248105PROCESSING AND STORING DATA USING A HASH TABLE DATA STRUCTUREApril 2023October 2024Allow1810YesNo
18296475METHOD AND APPARATUS FOR SHARING STORAGE PARTITIONSApril 2023August 2024Allow1600NoNo
18193825OBJECT STORE DATA MANAGEMENT CONTAINER WITH INTEGRATED SNAPSHOT DIFFERENCE INTERFACE FOR CATALOGING SNAPSHOTS WHILE RESIDENT IN OBJECT STOREMarch 2023April 2024Allow1200NoNo
18193814METHOD AND SYSTEM FOR EVICTING AND RELOADING A CACHE FOR MACHINE LEARNING TRAINING DATA STREAMSMarch 2023July 2024Allow1500NoNo
18129822EFFICIENT CACHING AND QUEUEING FOR PER-ALLOCATION NON-REDUNDANT METADATAMarch 2023March 2025Allow2410YesNo
18127271COMPRESSION OF LOGICAL-TO-PHYSICAL ADDRESS INDIRECTION TABLE ON SOLID-STATE DRIVESMarch 2023May 2024Allow1400NoNo
18125123METHOD AND APPARATUS FOR PERFORMING TABLE MANAGEMENT OF MEMORY DEVICE IN PREDETERMINED COMMUNICATIONS ARCHITECTURE WITH AID OF SYSTEM-REGION GARBAGE COLLECTIONMarch 2023May 2024Allow1400NoNo
18178629MEMORY SYSTEM WITH MULTIPLE STRIPING OF RAID GROUPS AND METHOD FOR PERFORMING THE SAMEMarch 2023December 2023Allow910NoNo
18176661CONFIGURABLE COMPUTER MEMORYMarch 2023December 2023Allow910NoNo
18176452MEMORY SYSTEMFebruary 2023May 2024Allow1400NoNo
18176450MEMORY SYSTEMFebruary 2023June 2024Allow1600NoNo
18174488INTELLIGENT DESTINATION TARGET SELECTION FOR REMOTE BACKUPS WITH AWARENESS OF TEMPORARY BACKUP TARGET FOR DATA RESTORESFebruary 2023October 2024Allow2010NoNo
18170992DYNAMIC MEMORY MANAGEMENT SYSTEMFebruary 2023July 2024Allow1720NoNo
18107962METHODS AND SYSTEMS FOR DISTRIBUTING MEMORY REQUESTSFebruary 2023August 2023Allow700NoNo
18107677METHOD AND APPARATUS TO REDUCE MEMORY IN A NAND FLASH DEVICE TO STORE PAGE RELATED INFORMATIONFebruary 2023March 2025Allow2520NoNo
18020602METHOD FOR ARBITRATING HETEROGENEOUS STORAGE-BASED CLUSTER, AND SYSTEM, COMPUTER DEVICE AND NON-TRANSITORY COMPUTER-READABLE MEDIUM THEREOFFebruary 2023August 2023Allow610NoNo

Appeals Overview

This analysis examines appeal outcomes and the strategic value of filing appeals for examiner PEUGH, BRIAN R.

Patent Trial and Appeal Board (PTAB) Decisions

Total PTAB Decisions
1
Examiner Affirmed
0
(0.0%)
Examiner Reversed
1
(100.0%)
Reversal Percentile
92.4%
Higher than average

What This Means

With a 100.0% reversal rate, the PTAB has reversed the examiner's rejections more often than affirming them. This reversal rate is in the top 25% across the USPTO, indicating that appeals are more successful here than in most other areas.

Strategic Value of Filing an Appeal

Total Appeal Filings
2
Allowed After Appeal Filing
1
(50.0%)
Not Allowed After Appeal Filing
1
(50.0%)
Filing Benefit Percentile
78.1%
Higher than average

Understanding Appeal Filing Strategy

Filing a Notice of Appeal can sometimes lead to allowance even before the appeal is fully briefed or decided by the PTAB. This occurs when the examiner or their supervisor reconsiders the rejection during the mandatory appeal conference (MPEP § 1207.01) after the appeal is filed.

In this dataset, 50.0% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is in the top 25% across the USPTO, indicating that filing appeals is particularly effective here. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.

Strategic Recommendations

Appeals to PTAB show good success rates. If you have a strong case on the merits, consider fully prosecuting the appeal to a Board decision.

Filing a Notice of Appeal is strategically valuable. The act of filing often prompts favorable reconsideration during the mandatory appeal conference.

Examiner PEUGH, BRIAN R - Prosecution Strategy Guide

Executive Summary

Examiner PEUGH, BRIAN R works in Art Unit 2133 and has examined 177 patent applications in our dataset. With an allowance rate of 97.7%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 21 months.

Allowance Patterns

Examiner PEUGH, BRIAN R's allowance rate of 97.7% places them in the 89% percentile among all USPTO examiners. This examiner is more likely to allow applications than most examiners at the USPTO.

Office Action Patterns

On average, applications examined by PEUGH, BRIAN R receive 1.19 office actions before reaching final disposition. This places the examiner in the 14% percentile for office actions issued. This examiner issues significantly fewer office actions than most examiners.

Prosecution Timeline

The median time to disposition (half-life) for applications examined by PEUGH, BRIAN R is 21 months. This places the examiner in the 91% percentile for prosecution speed. Applications move through prosecution relatively quickly with this examiner.

Interview Effectiveness

Conducting an examiner interview provides a +2.7% benefit to allowance rate for applications examined by PEUGH, BRIAN R. This interview benefit is in the 24% percentile among all examiners. Note: Interviews show limited statistical benefit with this examiner compared to others, though they may still be valuable for clarifying issues.

Request for Continued Examination (RCE) Effectiveness

When applicants file an RCE with this examiner, 36.6% of applications are subsequently allowed. This success rate is in the 83% percentile among all examiners. Strategic Insight: RCEs are highly effective with this examiner compared to others. If you receive a final rejection, filing an RCE with substantive amendments or arguments has a strong likelihood of success.

After-Final Amendment Practice

This examiner enters after-final amendments leading to allowance in 36.6% of cases where such amendments are filed. This entry rate is in the 55% percentile among all examiners. Strategic Recommendation: This examiner shows above-average receptiveness to after-final amendments. If your amendments clearly overcome the rejections and do not raise new issues, consider filing after-final amendments before resorting to an RCE.

Appeal Withdrawal and Reconsideration

This examiner withdraws rejections or reopens prosecution in 66.7% of appeals filed. This is in the 48% percentile among all examiners. Strategic Insight: This examiner shows below-average willingness to reconsider rejections during appeals. Be prepared to fully prosecute appeals if filed.

Petition Practice

When applicants file petitions regarding this examiner's actions, 11.1% are granted (fully or in part). This grant rate is in the 8% percentile among all examiners. Strategic Note: Petitions are rarely granted regarding this examiner's actions compared to other examiners. Ensure you have a strong procedural basis before filing a petition, as the Technology Center Director typically upholds this examiner's decisions.

Examiner Cooperation and Flexibility

Examiner's Amendments: This examiner makes examiner's amendments in 4.5% of allowed cases (in the 85% percentile). Per MPEP § 1302.04, examiner's amendments are used to place applications in condition for allowance when only minor changes are needed. This examiner frequently uses this tool compared to other examiners, indicating a cooperative approach to getting applications allowed. Strategic Insight: If you are close to allowance but minor claim amendments are needed, this examiner may be willing to make an examiner's amendment rather than requiring another round of prosecution.

Quayle Actions: This examiner issues Ex Parte Quayle actions in 17.3% of allowed cases (in the 92% percentile). Per MPEP § 714.14, a Quayle action indicates that all claims are allowable but formal matters remain. This examiner frequently uses Quayle actions compared to other examiners, which is a positive indicator that once substantive issues are resolved, allowance follows quickly.

Prosecution Strategy Recommendations

Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:

  • RCEs are effective: This examiner has a high allowance rate after RCE compared to others. If you receive a final rejection and have substantive amendments or arguments, an RCE is likely to be successful.
  • Examiner cooperation: This examiner frequently makes examiner's amendments to place applications in condition for allowance. If you are close to allowance, the examiner may help finalize the claims.

Relevant MPEP Sections for Prosecution Strategy

  • MPEP § 713.10: Examiner interviews - available before Notice of Allowance or transfer to PTAB
  • MPEP § 714.12: After-final amendments - may be entered "under justifiable circumstances"
  • MPEP § 1002.02(c): Petitionable matters to Technology Center Director
  • MPEP § 1004: Actions requiring primary examiner signature (allowances, final rejections, examiner's answers)
  • MPEP § 1207.01: Appeal conferences - mandatory for all appeals
  • MPEP § 1214.07: Reopening prosecution after appeal

Important Disclaimer

Not Legal Advice: The information provided in this report is for informational purposes only and does not constitute legal advice. You should consult with a qualified patent attorney or agent for advice specific to your situation.

No Guarantees: We do not provide any guarantees as to the accuracy, completeness, or timeliness of the statistics presented above. Patent prosecution statistics are derived from publicly available USPTO data and are subject to data quality limitations, processing errors, and changes in USPTO practices over time.

Limitation of Liability: Under no circumstances will IronCrow AI be liable for any outcome, decision, or action resulting from your reliance on the statistics, analysis, or recommendations presented in this report. Past prosecution patterns do not guarantee future results.

Use at Your Own Risk: While we strive to provide accurate and useful prosecution statistics, you should independently verify any information that is material to your prosecution strategy and use your professional judgment in all patent prosecution matters.