USPTO Examiner KIM DONG U - Art Unit 2196

Recent Applications

Detailed information about the 100 most recent patent applications.

Application NumberTitleFiling DateDisposal DateDispositionTime (months)Office ActionsRestrictionsInterviewAppeal
17136435COORDINATING EVENT-DRIVEN OBJECT EXECUTIONDecember 2020January 2023Allow2510NoNo
17132274COMPUTER PROGRAM, METHOD, AND DEVICE FOR DISTRIBUTING RESOURCES OF COMPUTING DEVICEDecember 2020July 2022Allow1900YesNo
17130540LIVE MOUNT OF VIRTUAL MACHINES IN A PUBLIC CLOUD COMPUTING ENVIRONMENTDecember 2020April 2023Allow2800YesNo
17128525THREAD SYNCHRONIZATION MECHANISMDecember 2020March 2024Allow3910YesNo
17122192PROVIDING STATEFUL SERVICES IN A SCALABLE MANNER FOR MACHINES EXECUTING ON HOST COMPUTERSDecember 2020April 2023Allow2720YesYes
17121678SECURITY FOR MICROENGINE ACCESSDecember 2020May 2023Allow2920NoNo
17119932SAVING AND RESTORING PRE-PROVISIONED VIRTUAL MACHINE STATESDecember 2020May 2023Allow2920YesNo
17117067COMPOSABLE INFORMATION HANDLING SYSTEMS IN AN OPEN NETWORK USING ACCESS CONTROL MANAGERSDecember 2020January 2023Allow2510NoNo
17107812Code Function Checkpoint and RestoreNovember 2020January 2023Allow2610YesNo
17104148SYSTEMS AND METHODS FOR ASSIGNING DOMAIN IDENTIFIERS TO REMOTE PERIPHERAL DEVICES USING A HYPERVISORNovember 2020January 2023Allow2610NoNo
17102470CONTAINERIZED COMPUTING ENVIRONMENTSNovember 2020November 2022Allow2410YesNo
17046632METHOD AND SYSTEM FOR IMPROVING SOFTWARE CONTAINER PERFORMANCE AND ISOLATIONOctober 2020January 2024Allow4010NoNo
17066246METHODS AND SYSTEMS FOR MIGRATING VIRTUAL FUNCTIONS IN ASSOCIATION WITH VIRTUAL MACHINESOctober 2020March 2023Allow3010YesNo
17045423SEMANTIC META FEDERATION BROKER FOR CLOUD ENVIRONMENTSOctober 2020January 2024Allow4010NoNo
17037727DYNAMICALLY CONFIGURABLE OVERPROVISIONED MICROPROCESSORSeptember 2020January 2024Allow3910NoNo
17035031EXECUTING COMPUTING MODULES USING MULTI-CORINGSeptember 2020February 2023Allow2820YesNo
17032623EXTENDING BERKELEY PACKET FILTER SEMANTICS FOR HARDWARE OFFLOADSSeptember 2020June 2022Allow2110YesNo
17024773INFORMATION PROCESSING APPARATUS THAT DETERMINES WHETHER AN EXTENDED APPLICATION CAN REUSE A VIRTUAL MACHINE, METHOD OF CONTROLLING THE SAME, AND STORAGE MEDIUMSeptember 2020April 2023Allow3120YesNo
16977580EXTERNAL EXCEPTION HANDLINGSeptember 2020November 2022Allow2610NoNo
17008874PARALLEL HANDLING OF A TREE DATA STRUCTURE FOR MULTIPLE SYSTEM PROCESSESSeptember 2020July 2023Allow3400YesNo
17002702VIRTUALIZING SHARED COMPUTING RESOURCESAugust 2020December 2022Allow2820YesNo
16995691OPEN-CHANNEL STORAGE DEVICE MANAGEMENT WITH FTL ON VIRTUAL MACHINEAugust 2020October 2022Allow2620YesNo
16986899SYSTEM AND METHOD TO COMMIT CONTAINER CHANGES ON A VM-BASED CONTAINERAugust 2020November 2022Allow2710YesNo
16943281METHOD AND APPARATUS FOR DEPLOYING VIRTUALIZED NETWORK ELEMENT DEVICEJuly 2020December 2022Abandon2920YesNo
16943556MEMORY ENCRYPTION FOR VIRTUAL MACHINES BY HYPERVISOR-CONTROLLED FIRMWAREJuly 2020November 2022Allow2710YesNo
16965216METHOD FOR DESIGNING AN APPLICATION TASK ARCHITECTURE OF AN ELECTRONIC CONTROL UNIT WITH ONE OR MORE VIRTUAL CORESJuly 2020March 2023Allow3220YesNo
16936289FINE-GRAINED APPLICATION-AWARE LATENCY OPTIMIZATION FOR VIRTUAL MACHINES AT RUNTIMEJuly 2020April 2022Allow2110YesNo
16936069RESOLVING CLUSTER COMPUTING TASK INTERFERENCEJuly 2020April 2022Allow2110YesNo
16933812MANAGING CONFIGURATION AND SENSITIVE DATA FOR WORKLOADS IN A VIRTUALIZED COMPUTING SYSTEMJuly 2020October 2021Allow1500YesNo
16933121EXTENDING BERKELEY PACKET FILTER SEMANTICS FOR HARDWARE OFFLOADSJuly 2020June 2022Allow2310YesNo
16933823IMAGE REGISTRY RESOURCE SHARING AMONG CONTAINER ORCHESTRATORS IN A VIRTUALIZED COMPUTING SYSTEMJuly 2020April 2022Allow2110NoNo
16924719POD DEPLOYMENT IN A GUEST CLUSTER EXECUTING AS A VIRTUAL EXTENSION OF MANAGEMENT CLUSTER IN A VIRTUALIZED COMPUTING SYSTEMJuly 2020September 2022Allow2610YesNo
16919041PRELOADING OF VIRTUAL DEVICES IN ANTICIPATION OF A CONNECTION REQUEST FROM A PHYSICAL DEVICEJuly 2020March 2023Allow3220YesNo
16918406INFORMATION PROCESSING METHOD, TERMINAL, SERVER, AND COMPUTER STORAGE MEDIUMJuly 2020October 2021Allow1500NoNo
16915712AUTOMATICALLY CONFIGURING EXECUTION OF A CONTAINERIZED APPLICATIONJune 2020June 2022Allow2410YesNo
16909756REPLENISHMENT-AWARE RESOURCE USAGE MANAGEMENTJune 2020March 2022Allow2110YesNo
16956265MANAGEMENT OF DYNAMIC SHARING OF CENTRAL PROCESSING UNITSJune 2020December 2022Abandon3020NoNo
16904136REMOTE DESKTOP SYSTEM AND IMAGE DATA SHARING METHODJune 2020January 2023Allow3120NoNo
16904441SYSTEM AND METHOD TO OPERATE 3D APPLICATIONS THROUGH POSITIONAL VIRTUALIZATION TECHNOLOGYJune 2020December 2023Allow4240YesNo
16901861NOSQL Database Capacity Configuration Optimization System for Cloud ComputingJune 2020January 2022Allow1900NoNo
16901292TRIGGERED QUEUE TRANSFORMATIONJune 2020October 2022Allow2820YesNo
16897680ENDPOINT GROUP CONTAINING HETEROGENEOUS WORKLOADSJune 2020June 2023Allow3620YesYes
16885609SCHEDULE VIRTUAL MACHINESMay 2020February 2022Allow2110YesNo
16885158MANAGEMENT OF CONTAINERIZED CLUSTERS BY VIRTUALIZATION SYSTEMSMay 2020February 2023Allow3220YesNo
16883880METHODS, SYSTEMS, AND DEVICES FOR ADAPTIVE DATA RESOURCE ASSIGNMENT AND PLACEMENT IN DISTRIBUTED DATA STORAGE SYSTEMSMay 2020September 2021Allow1610NoNo
16879158METHOD FOR CREATING VIRTUAL MACHINE BASED ON HYPER-CONVERGED INFRASTRUCTUREMay 2020October 2022Abandon2920YesNo
15931479RUNNING ARBITRARY BINARIES AS UNIKERNELS ON EMBEDDED PROCESSORSMay 2020December 2021Allow1910YesNo
16872220PROVIDING ENHANCED SECURITY FOR OBJECT ACCESS IN OBJECT-BASED DATASTORESMay 2020June 2022Allow2500YesNo
16849695HYPERVISOR HOT RESTARTApril 2020April 2022Allow2410YesNo
16845244METHOD, DEVICE AND COMPUTER PROGRAM PRODUCT FOR STORAGE MANAGEMENTApril 2020August 2022Allow2810YesNo
16754563Processing Method and ApparatusApril 2020March 2022Abandon2420NoNo
16843630User Interface Display Method And Terminal DeviceApril 2020May 2023Abandon3720YesNo
16838690CONTAINER ORCHESTRATION IN A CLUSTERED AND VIRTUALIZED COMPUTER SYSTEMApril 2020July 2023Allow3940YesYes
16837688RESOURCE ALLOCATION FOR VIRTUAL MACHINESApril 2020July 2022Allow2820YesNo
16831268TRANSPARENT HUGE PAGES SUPPORT FOR ENCRYPTED VIRTUAL MACHINESMarch 2020September 2021Allow1800YesNo
16828603NETWORK MANAGEMENT FOR ELASTIC VIRTUAL NETWORK FUNCTIONSMarch 2020May 2022Allow2610YesNo
16823169SYSTEM AND METHOD FOR PROCESSING TASK RESOURCESMarch 2020May 2022Allow2620NoNo
16820521VIRTUAL RESOURCE SELECTION FOR A VIRTUAL RESOURCE CREATION REQUESTMarch 2020September 2022Allow3020YesNo
16811109SECURE RUNTIME FOR VIRTUAL MACHINESMarch 2020September 2022Allow3010YesNo
16811630Vehicle System, Vehicle And Method For Operating Such A Vehicle SystemMarch 2020September 2022Allow3020YesNo
16798519DISTRIBUTED SYSTEM FOR DISPLAYING A CONTENTFebruary 2020November 2022Allow3320YesNo
16797748GUEST-INITIATED ANNOUNCEMENT OF VIRTUAL MACHINE MIGRATIONFebruary 2020July 2021Allow1710NoNo
16784809STARTUP METHOD AND APPARATUS FOR VIRTUAL MACHINE, AND SMART TERMINALFebruary 2020August 2022Abandon3020YesNo
16780654SERVERLESS PLATFORM REQUEST ROUTINGFebruary 2020December 2022Allow3520YesNo
16778437SECURITY PROTOCOLS FOR LOW LATENCY EXECUTION OF PROGRAM CODEJanuary 2020June 2022Allow2830YesNo
16778909HYPERVISOR HIBERNATIONJanuary 2020August 2022Allow3010YesNo
16777428METHODS AND SYSTEMS FOR SEAMLESS VIRTUAL MACHINE CHANGING FOR SOFTWARE APPLICATIONSJanuary 2020December 2021Allow2210YesNo
16773463RESTORING THE STATE OF PAUSED VIRTUAL MACHINE ENVIRONMENTS WITH EXTERNAL ATTACHED VOLUMESJanuary 2020March 2022Allow2510YesNo
16751157PRIORITIZATION IN A PERMISSIONED BLOCKCHAINJanuary 2020February 2021Allow1310NoNo
16748905DATABASE RESOURCE SCALINGJanuary 2020October 2020Allow910NoNo
16746802APPARATUS, SYSTEMS, AND METHODS FOR COMPOSABLE DISTRIBUTED COMPUTINGJanuary 2020May 2022Allow2830YesNo
16744351HYPERCALL IMPLEMENTATION IN A VIRTUALIZED COMPUTER SYSTEMJanuary 2020July 2021Allow1700YesNo
16743169IMPLEMENTING REQUESTS ON A MODEL OF A SYSTEM PRIOR TO IMPLEMENTING ON THE SYSTEMJanuary 2020August 2021Allow1910YesNo
16734834NETWORK PERFORMANCE OPTIMIZATION IN A HYPERVISOR-BASED SYSTEMJanuary 2020December 2021Allow2320YesNo
16731496CONTEXTUAL AWARENESS ASSOCIATED WITH RESOURCESDecember 2019May 2021Allow1710YesNo
16724460GUEST OPERATING SYSTEM WAKE-UP METHOD, DEVICE, ELECTRONIC APPARATUS, AND READABLE MEDIUMDecember 2019March 2022Allow2710YesNo
16713077VIRTUAL ELECTRONIC CONTROL UNITS IN AUTOSARDecember 2019March 2022Allow2720YesNo
16711672METHOD AND SYSTEM FOR PROCESSING DATADecember 2019March 2021Allow1510NoNo
16712412IMPLEMENTING A BLOCKCHAIN-BASED WORKFLOWDecember 2019April 2020Allow410YesNo
16706546PROVIDING DEVICE ABSTRACTIONS TO APPLICATIONS INSIDE A VIRTUAL MACHINEDecember 2019July 2023Allow4330YesNo
16704133DYNAMIC PAUSE EXITINGDecember 2019August 2021Allow2010NoNo
16692455CUSTOMIZED PARTITIONING OF COMPUTE INSTANCESNovember 2019February 2022Allow2710YesNo
16685322HIGH PERFORMANCE ATTACHABLE WRITEABLE VOLUMES IN VDI DESKTOPSNovember 2019October 2021Allow2310NoNo
16681990UNIFIED RESOURCE MANAGEMENT FOR CONTAINERS AND VIRTUAL MACHINESNovember 2019August 2021Allow2110YesNo
16672577CHANNEL IDENTIFIER COUPLING WITH VIRTUALIZED COMMUNICATIONS HARDWARENovember 2019February 2022Allow2720YesNo
16673087WORKLOAD MANAGEMENT WITH DELEGATED CORRECTION OF EXECUTION ISSUES FOR IMPROVING A FUNCTIONING OF COMPUTING MACHINESNovember 2019October 2020Allow1200YesNo
16667771Container Management System With A Composite Engine InterfaceOctober 2019July 2022Allow3330YesNo
16667147DYNAMIC ALLOCATION OF WORKER NODES FOR DISTRIBUTED REPLICATIONOctober 2019January 2022Allow2610NoNo
16667775CONTAINER MANAGEMENT SYSTEM WITH A REMOTE SHARING MANAGEROctober 2019July 2022Allow3330YesNo
16662521FAIL-SAFE POST COPY MIGRATION OF VIRTUAL MACHINESOctober 2019May 2022Allow3120YesNo
16661224IMPLEMENTING HIGH-PERFORMANCE VIRTUAL MACHINES FOR BARE METAL SIMULATIONOctober 2019July 2021Allow2110YesNo
16659553SYSTEMS AND METHODS FOR TUNING CONTAINERS IN A HIGH AVAILABILITY ENVIRONMENTOctober 2019October 2021Allow2410YesNo
16654625ELASTIC CLOUD SERVICE WITH DATA DRIVEN COST REDUCTION FOR VMS IN THE CLOUDOctober 2019March 2022Allow2920YesNo
16601752EFFICIENT CREATION OF ENDPOINTS FOR ACCESSING SERVICES DIRECTLY WITHIN A CLOUD-BASED SYSTEMOctober 2019July 2022Allow3320NoNo
16599376METHOD FOR CONTROLLING PERFORMANCE IN VIRTUALIZED ENVIRONMENT AND INFORMATION PROCESSING DEVICE FOR THE SAMEOctober 2019May 2022Allow3120YesNo
16594873AFFINITY BASED OPTIMIZATION OF VIRTUAL PERSISTENT MEMORY VOLUMESOctober 2019September 2021Allow2410YesNo
16589256Method and System for Data Collection Using HypervisorOctober 2019November 2021Allow2510NoNo
16586743Fine-Grained Scheduling of Work in Runtime SystemsSeptember 2019June 2021Allow2100NoNo
16585300METHOD TO SET UP AND TEAR DOWN CLOUD ENVIRONMENTS BASED ON A SCHEDULE OBTAINED FROM ONE OR MORE HOSTED CALENDARSSeptember 2019March 2021Allow1810YesNo
16585563REGULATING HARDWARE SPECULATIVE PROCESSING AROUND A TRANSACTIONSeptember 2019December 2020Allow1510NoNo

Appeals Overview

This analysis examines appeal outcomes and the strategic value of filing appeals for examiner KIM, DONG U.

Patent Trial and Appeal Board (PTAB) Decisions

Total PTAB Decisions
16
Examiner Affirmed
11
(68.8%)
Examiner Reversed
5
(31.2%)
Reversal Percentile
49.1%
Lower than average

What This Means

With a 31.2% reversal rate, the PTAB reverses the examiner's rejections in a meaningful percentage of cases. This reversal rate is below the USPTO average, indicating that appeals face more challenges here than typical.

Strategic Value of Filing an Appeal

Total Appeal Filings
35
Allowed After Appeal Filing
17
(48.6%)
Not Allowed After Appeal Filing
18
(51.4%)
Filing Benefit Percentile
76.8%
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, 48.6% 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 face challenges. Ensure your case has strong merit before committing to full Board review.

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

Examiner KIM, DONG U - Prosecution Strategy Guide

Executive Summary

Examiner KIM, DONG U works in Art Unit 2196 and has examined 570 patent applications in our dataset. With an allowance rate of 90.0%, this examiner has an above-average tendency to allow applications. Applications typically reach final disposition in approximately 26 months.

Allowance Patterns

Examiner KIM, DONG U's allowance rate of 90.0% places them in the 73% percentile among all USPTO examiners. This examiner has an above-average tendency to allow applications.

Office Action Patterns

On average, applications examined by KIM, DONG U receive 1.59 office actions before reaching final disposition. This places the examiner in the 27% percentile for office actions issued. This examiner issues fewer office actions than average, which may indicate efficient prosecution or a more lenient examination style.

Prosecution Timeline

The median time to disposition (half-life) for applications examined by KIM, DONG U is 26 months. This places the examiner in the 74% percentile for prosecution speed. Prosecution timelines are slightly faster than average with this examiner.

Interview Effectiveness

Conducting an examiner interview provides a +6.5% benefit to allowance rate for applications examined by KIM, DONG U. This interview benefit is in the 34% percentile among all examiners. Recommendation: Interviews provide a below-average benefit with this examiner.

Request for Continued Examination (RCE) Effectiveness

When applicants file an RCE with this examiner, 35.7% of applications are subsequently allowed. This success rate is in the 81% 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 15.4% of cases where such amendments are filed. This entry rate is in the 18% percentile among all examiners. Strategic Recommendation: This examiner rarely enters after-final amendments compared to other examiners. You should generally plan to file an RCE or appeal rather than relying on after-final amendment entry. Per MPEP § 714.12, primary examiners have discretion in entering after-final amendments, and this examiner exercises that discretion conservatively.

Pre-Appeal Conference Effectiveness

When applicants request a pre-appeal conference (PAC) with this examiner, 42.1% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 40% percentile among all examiners. Note: Pre-appeal conferences show below-average success with this examiner. Consider whether your arguments are strong enough to warrant a PAC request.

Appeal Withdrawal and Reconsideration

This examiner withdraws rejections or reopens prosecution in 61.0% of appeals filed. This is in the 38% percentile among all examiners. Of these withdrawals, 28.0% occur early in the appeal process (after Notice of Appeal but before Appeal Brief). 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, 36.4% are granted (fully or in part). This grant rate is in the 23% 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 0.2% of allowed cases (in the 50% percentile). This examiner makes examiner's amendments more often than average to place applications in condition for allowance (MPEP § 1302.04).

Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.4% of allowed cases (in the 56% percentile). This examiner issues Quayle actions more often than average when claims are allowable but formal matters remain (MPEP § 714.14).

Prosecution Strategy Recommendations

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

  • Plan for RCE after final rejection: This examiner rarely enters after-final amendments. Budget for an RCE in your prosecution strategy if you receive a final rejection.
  • 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.

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.