Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 18443540 | APPARATUS AND METHODS FOR A MISSION CRITICAL OPERATING ENVIRONMENT CONTAINER ARCHITECTURE | February 2024 | October 2025 | Allow | 20 | 4 | 0 | Yes | No |
| 18241386 | HYPERVISOR COMMUNICATION CONGESTION CONTROL IN A VEHICLE DURING VIRTUAL MACHINE ACTIVATION | September 2023 | January 2026 | Allow | 28 | 0 | 0 | No | No |
| 18339654 | MANAGEMENT INSTRUMENTATION AND DISCOVERY (MID) SERVER SUPPORT FOR EXECUTING AUTOMATED FLOWS WITHIN A CLOUD BASED SYSTEM | June 2023 | October 2025 | Allow | 28 | 4 | 0 | Yes | No |
| 18131726 | PROACTIVE ADJUSTMENT OF RESOURCE ALLOCATION TO INFORMATION TECHNOLOGY ASSETS BASED ON PREDICTED RESOURCE UTILIZATION | April 2023 | January 2026 | Allow | 33 | 1 | 0 | Yes | No |
| 18128939 | USING OSTREE NATIVE CONTAINERS TO CUSTOMIZE VIRTUAL MACHINES FOR LIGHTWEIGHT APPLICATION DEPLOYMENT | March 2023 | November 2025 | Allow | 31 | 1 | 0 | No | No |
| 18122804 | VIRTUAL MACHINE (VM) MIGRATION WITH SMART NETWORK INTERFACE CARDS (NICS) | March 2023 | January 2026 | Allow | 34 | 1 | 0 | Yes | No |
| 18121619 | APPLICATION TOPOLOGY DERIVATION IN A VIRTUALIZED COMPUTING SYSTEM | March 2023 | March 2026 | Abandon | 36 | 1 | 0 | No | No |
| 18113331 | PREDICTED-TEMPERATURE-BASED VIRTUAL MACHINE MANAGEMENT SYSTEM | February 2023 | November 2025 | Allow | 33 | 1 | 0 | Yes | No |
| 18105719 | METHODS, SYSTEMS, AND COMPUTER READABLE MEDIA FOR USING OPTIMIZED TOKEN BUCKET ALGORITHM FOR INGRESS MESSAGE RATE LIMITING ACROSS DISTRIBUTED PRODUCER NETWORK FUNCTION (NF) APPLICATIONS | February 2023 | December 2025 | Allow | 34 | 1 | 0 | Yes | No |
| 18156331 | REGISTRATION AND DEPLOYMENT OF AN AGENT PLATFORM APPLIANCE IN A HYBRID ENVIRONMENT | January 2023 | March 2026 | Abandon | 37 | 1 | 0 | No | No |
| 18148792 | CANCELLATION OF A MIGRATION-BASED UPGRADE USING A NETWORK SWAP WORKFLOW | December 2022 | December 2025 | Allow | 36 | 1 | 0 | Yes | No |
| 18086715 | PROXY-BASED AGENT INSTALLATIONS IN DATA CENTERS | December 2022 | March 2026 | Abandon | 38 | 1 | 0 | No | No |
| 18076163 | METHOD AND APPARATUS FOR MIGRATING VIRTUAL MACHINE IN MEMORY-DISAGGREGATED ENVIRONMENT | December 2022 | November 2025 | Allow | 36 | 1 | 0 | No | No |
| 18070118 | HYBRID VIRTUAL MACHINE ALLOCATION OPTIMIZATION SYSTEM AND METHOD | November 2022 | November 2025 | Allow | 35 | 1 | 0 | Yes | No |
| 17980204 | INFERENCE SERVICE DEPLOYMENT METHOD, DEVICE, AND STORAGE MEDIUM | November 2022 | February 2026 | Allow | 40 | 1 | 0 | No | No |
| 17935592 | DYNAMIC POD PRIORITY INFERENCE UTILIZING SERVICE MESH TELEMETRY DATA | September 2022 | October 2025 | Allow | 37 | 1 | 0 | Yes | No |
| 17839999 | Resource Adjustment Method and Apparatus | June 2022 | September 2025 | Allow | 40 | 1 | 0 | No | No |
| 17660728 | METHOD AND SYSTEM FOR PERFORMING NON-PARAMETRIC STOCHASTIC SEQUENTIAL ASSIGNMENT OF JOBS WITH RANDOM ARRIVAL TIMES | April 2022 | September 2025 | Allow | 41 | 1 | 0 | No | No |
| 17655313 | MICROKERNEL WITH TRANSPARENT CLOUD-BASED OFFLOADING OF PROCESSING - DESKTOP-AS-A-SERVICE | March 2022 | September 2025 | Allow | 42 | 1 | 0 | No | No |
| 17669088 | FEEDBACK-BASED TUNING OF TELEMETRY COLLECTION PARAMETERS | February 2022 | October 2025 | Allow | 44 | 3 | 0 | Yes | No |
| 17576436 | VIRTUAL MEDIA OFFLOAD IN SMART NETWORK INTERFACE CONTROLLER | January 2022 | November 2025 | Allow | 46 | 2 | 0 | No | No |
| 17504849 | STORAGE VIRTUALIZATION DEVICE SUPPORTING VIRTUAL MACHINE, OPERATION METHOD THEREOF, AND OPERATION METHOD OF SYSTEM HAVING THE SAME | October 2021 | November 2025 | Allow | 49 | 4 | 0 | Yes | No |
| 17504036 | SERVER PERFORMANCE AND APPLICATION HEALTH MANAGEMENT SYSTEM AND METHOD | October 2021 | November 2025 | Abandon | 49 | 3 | 0 | No | No |
| 17501627 | DYNAMICALLY PERFORMING A STORAGE SERVICE JOB WORKFLOW | October 2021 | July 2025 | Allow | 45 | 3 | 0 | Yes | No |
| 17372342 | TASK BASED SERVICE MANAGEMENT PLATFORM | July 2021 | September 2025 | Allow | 50 | 2 | 0 | No | Yes |
| 16699823 | TIME FRAME BOUNDED EXECUTION OF COMPUTATIONAL ALGORITHMS | December 2019 | November 2020 | Allow | 11 | 1 | 0 | Yes | No |
| 16435938 | APPARATUS AND METHOD TO PROVIDE HELP INFORMATION TO A USER IN A TIMELY MANNER | June 2019 | May 2021 | Allow | 24 | 1 | 0 | No | No |
| 16399869 | MANAGING VIRTUAL CLUSTERING ENVIRONMENTS ACCORDING TO REQUIREMENTS | April 2019 | September 2020 | Allow | 17 | 1 | 0 | No | No |
| 16327998 | ON-BOARD UPDATE DEVICE AND ON-BOARD UPDATE SYSTEM | February 2019 | February 2021 | Allow | 24 | 1 | 0 | No | No |
| 16268960 | THREAD-AWARE CONTROLLER | February 2019 | January 2021 | Allow | 23 | 0 | 0 | Yes | No |
| 16208330 | METHODS, APPARATUS, AND COMPUTER PROGRAM PRODUCTS FOR ACCESSING A SHARED COMPUTING RESOURCE | December 2018 | October 2020 | Allow | 22 | 1 | 0 | Yes | No |
| 16303579 | TECHNOLOGIES FOR IMPLEMENTING CONSOLIDATED DEVICE INFRASTRUCTURE SYSTEMS | November 2018 | May 2021 | Allow | 30 | 1 | 1 | Yes | No |
| 16124554 | HIERARCHICAL PROCESS GROUP MANAGEMENT | September 2018 | January 2020 | Allow | 16 | 1 | 0 | No | No |
| 16101972 | COMPUTER SYSTEM WORKLOAD MANAGER | August 2018 | March 2021 | Allow | 31 | 1 | 0 | No | No |
| 16033100 | PROGRAMMABLE STATE MACHINE CONTROLLER IN A PARALLEL PROCESSING SYSTEM | July 2018 | June 2020 | Allow | 23 | 1 | 0 | Yes | No |
| 16029310 | METHOD TO DESIGN AND TEST WORKFLOWS | July 2018 | July 2020 | Allow | 25 | 1 | 0 | Yes | No |
| 15987473 | TASK DEPLOYMENT METHOD, TASK DEPLOYMENT APPARATUS, AND STORAGE MEDIUM | May 2018 | October 2020 | Allow | 29 | 3 | 0 | No | No |
| 15977893 | USER SPACE PRE-EMPTIVE REAL-TIME SCHEDULER | May 2018 | December 2020 | Allow | 31 | 3 | 0 | No | No |
| 15969375 | LAZY DATA LOADING FOR IMPROVING MEMORY CACHE HIT RATIO IN DAG-BASED COMPUTATIONAL SYSTEM | May 2018 | January 2020 | Allow | 21 | 0 | 0 | No | No |
| 15945921 | WORKLOAD MANAGEMENT WITH DATA ACCESS AWARENESS BY AGGREGATING FILE LOCALITY INFORMATION IN A COMPUTING CLUSTER | April 2018 | April 2020 | Allow | 25 | 1 | 0 | No | No |
| 15887317 | CONTAINER DEPLOYMENT METHOD AND APPARATUS | February 2018 | January 2020 | Allow | 24 | 1 | 0 | No | No |
| 15750176 | METHOD AND APPARATUS FOR LOGGING OUT OF APPLICATION | February 2018 | December 2019 | Allow | 22 | 1 | 0 | No | No |
| 15838744 | MANAGING A VIRTUAL COMPUTER RESOURCE | December 2017 | April 2019 | Allow | 16 | 1 | 0 | Yes | No |
| 15833193 | TIME FRAME BOUNDED EXECUTION OF COMPUTATIONAL ALGORITHMS | December 2017 | October 2019 | Allow | 22 | 3 | 0 | Yes | No |
| 15635124 | TECHNIQUES TO MIGRATE A VIRTUAL MACHINE USING DISAGGREGATED COMPUTING RESOURCES | June 2017 | February 2021 | Allow | 44 | 2 | 0 | No | No |
| 15399681 | Affinity Data Collection in a Computing System | January 2017 | May 2018 | Allow | 17 | 1 | 0 | Yes | No |
| 15270391 | TIME FRAME BOUNDED EXECUTION OF COMPUTATIONAL ALGORITHMS | September 2016 | October 2019 | Allow | 36 | 3 | 0 | Yes | No |
| 15270975 | MULTI-PLATFORM SCHEDULER FOR PERMANENT AND TRANSIENT APPLICATIONS | September 2016 | February 2019 | Allow | 29 | 1 | 0 | No | No |
| 15269105 | AUTOMATIC COMMENT EDITING FOR A SMART INTEGRATED DEVELOPMENT ENVIRONMENT | September 2016 | March 2017 | Allow | 6 | 2 | 0 | Yes | No |
| 15191600 | HIERARCHICAL PROCESS GROUP MANAGEMENT | June 2016 | July 2018 | Allow | 24 | 1 | 0 | Yes | No |
| 14978182 | THREAD AND/OR VIRTUAL MACHINE SCHEDULING FOR CORES WITH DIVERSE CAPABILITIES | December 2015 | March 2019 | Allow | 39 | 3 | 0 | Yes | No |
| 14954382 | MANAGING A VIRTUAL COMPUTER RESOURCE | November 2015 | August 2017 | Allow | 21 | 1 | 0 | Yes | No |
| 14740748 | SELECTING PROVISIONING TARGETS FOR NEW VIRTUAL MACHINE INSTANCES | June 2015 | July 2016 | Allow | 13 | 0 | 0 | Yes | No |
| 14501370 | TESTING A SOFTWARE INTERFACE FOR A STREAMING HARDWARE DEVICE | September 2014 | December 2015 | Allow | 14 | 2 | 0 | Yes | No |
| 14385258 | PERIODIC ACCESS OF A HARDWARE RESOURCE | September 2014 | November 2016 | Allow | 26 | 2 | 0 | Yes | No |
| 14382259 | AUTOMATICALLY BRIDGING THE SEMANTIC GAP IN MACHINE INTROSPECTION | August 2014 | October 2016 | Allow | 26 | 2 | 0 | Yes | No |
| 14067159 | SYSTEM AND METHOD FOR TRACKING SUSPICION ACROSS APPLICATION BOUNDARIES | October 2013 | June 2017 | Allow | 44 | 4 | 0 | Yes | No |
| 14031073 | MANAGING A VIRTUAL COMPUTER RESOURCE | September 2013 | December 2015 | Allow | 26 | 1 | 0 | Yes | No |
| 13704737 | Virtual Machine Merging Method and System | August 2013 | June 2016 | Allow | 41 | 3 | 0 | Yes | No |
| 13968602 | VIRTUAL MACHINE-TO-IMAGE AFFINITY ON A PHYSICAL SERVER | August 2013 | March 2015 | Allow | 19 | 2 | 0 | No | No |
| 13850975 | HARDWARE SUPPORT FOR PROCESSING VIRTUAL MACHINE INSTRUCTIONS | March 2013 | June 2016 | Allow | 39 | 3 | 0 | Yes | No |
| 13803717 | TESTING A SOFTWARE INTERFACE FOR A STREAMING HARDWARE DEVICE | March 2013 | December 2015 | Allow | 33 | 3 | 0 | Yes | No |
| 13792207 | TRACE COVERAGE ANALYSIS | March 2013 | July 2015 | Allow | 28 | 2 | 0 | Yes | No |
| 13787507 | DYNAMIC RECONFIGURABLE COMPILER | March 2013 | April 2018 | Allow | 60 | 6 | 0 | Yes | Yes |
| 13770105 | Virtual Machine-to-Image Affinity on a Physical Server | February 2013 | March 2015 | Allow | 25 | 2 | 0 | Yes | No |
| 13765389 | SYSTEMS AND METHODS FOR REPURPOSING VIRTUAL MACHINES | February 2013 | March 2016 | Allow | 37 | 2 | 0 | Yes | No |
| 13761866 | SCHEDULER, MULTI-CORE PROCESSOR SYSTEM, AND SCHEDULING METHOD | February 2013 | October 2015 | Allow | 33 | 2 | 0 | Yes | No |
| 13760119 | JOB MANAGEMENT APPARATUS AND JOB MANAGEMENT METHOD | February 2013 | October 2015 | Allow | 32 | 2 | 0 | Yes | No |
| 13814150 | METHOD FOR CONSTRUCTING DATA STRUCTURES AND METHOD FOR DESCRIBING RUNNING STATES OF COMPUTER AND STATE TRANSITIONS THEREOF | February 2013 | September 2016 | Allow | 44 | 4 | 0 | Yes | No |
| 13666607 | UPGRADE FIRMWARE WITH UPGRADE INFORMATION FROM A TAPE CARTRIDGE IN A WIRELESS MANNER | November 2012 | April 2014 | Allow | 18 | 0 | 0 | Yes | No |
| 13606970 | SELECTING PROVISIONING TARGETS FOR NEW VIRTUAL MACHINE INSTANCES | September 2012 | May 2015 | Allow | 32 | 2 | 0 | Yes | No |
| 13585084 | FACILITATING CUSTOMER-INITIATED VIRTUAL MACHINE MIGRATION AND SWAPPING | August 2012 | December 2014 | Allow | 28 | 1 | 0 | Yes | No |
| 13566460 | SELECTING PROVISIONING TARGETS FOR NEW VIRTUAL MACHINE INSTANCES | August 2012 | May 2015 | Allow | 33 | 2 | 0 | Yes | No |
| 13553656 | REMOTE VIRTUAL MACHINE MIGRATION PORT MANAGEMENT DEVICE AND SYSTEM | July 2012 | November 2014 | Allow | 27 | 1 | 0 | Yes | No |
| 13483888 | SYSTEM AND METHOD OF PROVIDING IN-APP SERVICE | May 2012 | April 2017 | Allow | 58 | 5 | 0 | Yes | No |
| 13465980 | Read and Write Barriers for Flexible and Efficient Garbage Collection | May 2012 | December 2014 | Allow | 31 | 1 | 0 | Yes | No |
| 13463633 | TOOL TO ANALYZE DEPENDENCY INJECTION OBJECT GRAPHS FOR COMMON ERROR PATTERNS | May 2012 | August 2015 | Allow | 40 | 3 | 0 | Yes | No |
| 13408720 | MULTIPLE QUEUE MANAGEMENT AND ADAPTIVE CPU MATCHING IN A VIRTUAL COMPUTING SYSTEM | February 2012 | June 2015 | Allow | 39 | 4 | 0 | Yes | No |
| 13370936 | DISCOVERING WORK-ITEM RELATIONS THROUGH FULL TEXT AND STANDARD METHOD ANALYSIS | February 2012 | November 2016 | Allow | 57 | 4 | 0 | Yes | No |
| 13295820 | Arbitrating Resource Acquisition For Applications of a Multi-Processor Mobile Communications Device | November 2011 | December 2015 | Allow | 49 | 4 | 1 | Yes | No |
| 13272186 | DEVELOPMENT TOOL FOR FOOTPRINT REDUCTION | October 2011 | August 2016 | Allow | 58 | 6 | 0 | Yes | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner DASCOMB, JACOB D.
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.
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, 100.0% 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.
✓ 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 DASCOMB, JACOB D works in Art Unit 2198 and has examined 60 patent applications in our dataset. With an allowance rate of 98.3%, this examiner allows applications at a higher rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 29 months.
Examiner DASCOMB, JACOB D's allowance rate of 98.3% places them in the 91% percentile among all USPTO examiners. This examiner is more likely to allow applications than most examiners at the USPTO.
On average, applications examined by DASCOMB, JACOB D receive 2.07 office actions before reaching final disposition. This places the examiner in the 54% percentile for office actions issued. This examiner issues a slightly above-average number of office actions.
The median time to disposition (half-life) for applications examined by DASCOMB, JACOB D is 29 months. This places the examiner in the 63% percentile for prosecution speed. Prosecution timelines are slightly faster than average with this examiner.
Conducting an examiner interview provides a +6.2% benefit to allowance rate for applications examined by DASCOMB, JACOB D. This interview benefit is in the 33% percentile among all examiners. Recommendation: Interviews provide a below-average benefit with this examiner.
When applicants file an RCE with this examiner, 32.4% of applications are subsequently allowed. This success rate is in the 68% percentile among all examiners. Strategic Insight: RCEs show above-average effectiveness with this examiner. Consider whether your amendments or new arguments are strong enough to warrant an RCE versus filing a continuation.
This examiner enters after-final amendments leading to allowance in 33.3% of cases where such amendments are filed. This entry rate is in the 49% percentile among all examiners. Strategic Recommendation: This examiner shows below-average receptiveness to after-final amendments. You may need to file an RCE or appeal rather than relying on after-final amendment entry.
When applicants request a pre-appeal conference (PAC) with this examiner, 100.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 71% percentile among all examiners. Strategic Recommendation: Pre-appeal conferences show above-average effectiveness with this examiner. If you have strong arguments, a PAC request may result in favorable reconsideration.
This examiner withdraws rejections or reopens prosecution in 66.7% of appeals filed. This is in the 48% percentile among all examiners. Of these withdrawals, 50.0% 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.
When applicants file petitions regarding this examiner's actions, 66.7% are granted (fully or in part). This grant rate is in the 72% percentile among all examiners. Strategic Note: Petitions show above-average success regarding this examiner's actions. Petitionable matters include restriction requirements (MPEP § 1002.02(c)(2)) and various procedural issues.
Examiner's Amendments: This examiner makes examiner's amendments in 0.0% of allowed cases (in the 13% percentile). This examiner rarely makes examiner's amendments compared to other examiners. You should expect to make all necessary claim amendments yourself through formal amendment practice.
Quayle Actions: This examiner issues Ex Parte Quayle actions in 0.0% of allowed cases (in the 16% percentile). This examiner rarely issues Quayle actions compared to other examiners. Allowances typically come directly without a separate action for formal matters.
Based on the statistical analysis of this examiner's prosecution patterns, here are tailored strategic recommendations:
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.