Detailed information about the 100 most recent patent applications.
| Application Number | Title | Filing Date | Disposal Date | Disposition | Time (months) | Office Actions | Restrictions | Interview | Appeal |
|---|---|---|---|---|---|---|---|---|---|
| 17113102 | OPTIMIZING PLACEMENTS OF WORKLOADS ON MULTIPLE PLATFORMS AS A SERVICE BASED ON COSTS AND SERVICE LEVELS | December 2020 | May 2023 | Allow | 29 | 2 | 0 | Yes | No |
| 17113098 | DETERMINING OPTIMAL PLACEMENTS OF WORKLOADS ON MULTIPLE PLATFORMS AS A SERVICE IN RESPONSE TO A TRIGGERING EVENT | December 2020 | May 2023 | Allow | 30 | 2 | 0 | Yes | No |
| 17107361 | Systems and Methods for Resource Lifecycle Management | November 2020 | March 2024 | Allow | 40 | 2 | 0 | Yes | No |
| 17083394 | THREAD SCHEDULING BASED ON PERFORMANCE METRIC INFORMATION | October 2020 | February 2024 | Abandon | 39 | 2 | 0 | No | No |
| 17082562 | DISTRIBUTING PROCESSING OF JOBS ACROSS COMPUTE NODES | October 2020 | August 2023 | Abandon | 33 | 2 | 0 | No | No |
| 16948426 | POWER BUDGET ARBITRATION FOR MULTIPLE CONCURRENT ACCESS OPERATIONS IN A MEMORY DEVICE | September 2020 | May 2023 | Allow | 32 | 3 | 0 | Yes | No |
| 17022026 | METHOD AND APPARATUS FOR ACQUIRING INFORMATION | September 2020 | March 2023 | Allow | 30 | 2 | 0 | Yes | No |
| 16928886 | Update of Model Parameters in a Parallel Processing System | July 2020 | March 2024 | Allow | 44 | 2 | 0 | Yes | No |
| 16915878 | Persistent Non-Homogeneous Worker Pools | June 2020 | March 2024 | Abandon | 44 | 4 | 0 | No | No |
| 16914305 | APPARATUS AND METHOD FOR A CLOSED-LOOP DYNAMIC RESOURCE ALLOCATION CONTROL FRAMEWORK | June 2020 | September 2024 | Allow | 51 | 2 | 0 | Yes | No |
| 16911585 | SYSTEMS AND METHODS FOR IMPROVING SCHEDULING OF TASK OFFLOADING WITHIN A VEHICLE | June 2020 | November 2022 | Allow | 29 | 1 | 0 | Yes | No |
| 16906828 | Resource Management Unit for Capturing Operating System Configuration States and Memory Management | June 2020 | November 2022 | Allow | 29 | 2 | 0 | Yes | No |
| 16946081 | DETERMINISTIC ALLOCATION OF SHARED RESOURCES | June 2020 | August 2024 | Abandon | 50 | 4 | 0 | No | No |
| 16893336 | COMPUTER-IMPLEMENTED METHOD AND APPARATUS FOR PLANNING RESOURCES | June 2020 | March 2023 | Abandon | 33 | 3 | 0 | Yes | No |
| 16892340 | INFORMATION PROCESSOR, METHOD FOR CONTROLLING INFORMATION PROCESSOR, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM FOR STORING CONTROL PROGRAM FOR INFORMATION PROCESSOR | June 2020 | September 2023 | Abandon | 40 | 4 | 0 | No | No |
| 16887932 | CROSS-CLUSTER LOAD BALANCER | May 2020 | April 2023 | Allow | 35 | 4 | 0 | Yes | No |
| 15930171 | LOCKLESS MANAGEMENT OF IMMUTABLE OBJECTS BY MULTI-THREADED PROCESSES | May 2020 | September 2022 | Allow | 29 | 2 | 0 | Yes | No |
| 16844760 | Data Processing Method, Apparatus, Storage Medium, Processor, and System | April 2020 | September 2022 | Abandon | 30 | 2 | 0 | No | No |
| 16837209 | TEMPORAL DIFFERENCE LEARNING, REINFORCEMENT LEARNING APPROACH TO DETERMINE OPTIMAL NUMBER OF THREADS TO USE FOR FILE COPYING | April 2020 | June 2024 | Allow | 51 | 2 | 0 | Yes | No |
| 16815172 | ADAPTIVE RESOURCE PROVISIONING FOR A MULTI-TENANT DISTRIBUTED EVENT DATA STORE | March 2020 | August 2022 | Allow | 29 | 2 | 0 | Yes | No |
| 16811734 | MEMORY SYSTEM | March 2020 | August 2022 | Abandon | 29 | 2 | 0 | No | No |
| 16803424 | Cross Platform Application Flow Orchestration | February 2020 | September 2022 | Allow | 31 | 2 | 0 | Yes | No |
| 16802430 | METHOD, DEVICE, AND COMPUTER PROGRAM PRODUCT FOR MANAGING PROCESSES BASED ON READING SPEED OF A MESSGE QUEUE | February 2020 | December 2022 | Allow | 34 | 3 | 0 | Yes | No |
| 16788293 | VIRTUALIZED COMPUTING ENVIRONMENT CONSTRUCTED BASED ON INFRASTRUCTURE CONSTRAINTS | February 2020 | September 2024 | Abandon | 55 | 5 | 0 | Yes | No |
| 16785759 | REST API REQUEST MANAGEMENT | February 2020 | December 2022 | Allow | 34 | 2 | 0 | Yes | No |
| 16779265 | SYSTEMS AND METHODS FOR ADJUSTING APPLICATION FUNCTIONALITY TO RESOURCE CONSTRAINTS | January 2020 | February 2023 | Abandon | 37 | 2 | 0 | Yes | No |
| 16745825 | WINDOWS LIVE MIGRATION WITH TRANSPARENT FAIL OVER LINUX KVM | January 2020 | April 2024 | Abandon | 51 | 2 | 0 | No | No |
| 16732856 | SUPPRESSING INTERRUPTS TO AN APPLICATION THREAD | January 2020 | December 2022 | Allow | 35 | 3 | 0 | Yes | No |
| 16710249 | System for Commitment-Aware Workload Scheduling Based on Anticipated Resource Consumption Levels | December 2019 | March 2023 | Allow | 39 | 3 | 0 | Yes | No |
| 16696132 | SELECTING AN OPTIMAL COMBINATION OF CLOUD RESOURCES WITHIN BUDGET CONSTRAINTS | November 2019 | June 2022 | Allow | 31 | 2 | 0 | Yes | No |
| 16672289 | METHOD AND SYSTEM FOR IDENTIFYING A PREFERRED THREAD POOL ASSOCIATED WITH A FILE SYSTEM | November 2019 | December 2021 | Allow | 26 | 1 | 0 | Yes | No |
| 16664132 | ENABLING A MANAGEMENT FUNCTION ON A COMPUTE NODE IN RESPONSE TO A USER WORKLOAD OWNERSHIP LEVEL | October 2019 | November 2021 | Allow | 25 | 2 | 0 | Yes | No |
| 16597355 | SYSTEMS AND METHODS OF COMPUTER SYSTEM MONITORING AND CONTROL | October 2019 | January 2025 | Abandon | 60 | 6 | 0 | No | No |
| 16587860 | HARVESTING REMNANT CYCLES IN SMART DEVICES | September 2019 | February 2023 | Abandon | 41 | 2 | 0 | Yes | No |
| 16496840 | INFORMATION PROCESSING APPARATUS AND MEMORY MANAGEMENT METHOD | September 2019 | December 2022 | Abandon | 39 | 2 | 0 | No | No |
| 16565703 | MEMORY MANAGEMENT USING COHERENT ACCELERATOR FUNCTIONALITY | September 2019 | August 2022 | Allow | 36 | 2 | 0 | Yes | No |
| 16560209 | MANAGING PERFORMANCE OPTIMIZATION OF APPLICATIONS IN AN INFORMATION HANDLING SYSTEM (IHS) | September 2019 | November 2022 | Allow | 39 | 3 | 0 | Yes | No |
| 16550829 | SYNCHRONOUS RE-EXECUTION OF A DATA TRANSFORMATION OPERATION TO OBTAIN FURTHER DETAILS REGARDING AN EXCEPTION | August 2019 | March 2022 | Allow | 30 | 2 | 0 | Yes | No |
| 16551522 | HARDWARE OFFLOAD SUPPORT FOR AN OPERATING SYSTEM OFFLOAD INTERFACE USING OPERATION CODE VERIFICATION | August 2019 | March 2023 | Allow | 42 | 3 | 0 | Yes | No |
| 16488576 | HOTPLUGGABLE RUNTIME | August 2019 | October 2023 | Abandon | 49 | 4 | 0 | No | No |
| 16487026 | CONTROL APPARATUS AND COMPUTER READABLE MEDIUM | August 2019 | March 2022 | Abandon | 31 | 2 | 0 | No | No |
| 16527243 | INTELLIGENT QUALITY ASSURANCE ORCHESTRATION TOOL | July 2019 | April 2022 | Allow | 33 | 1 | 0 | Yes | No |
| 16526597 | METHOD AND SYSTEM FOR PERFORMING PARALLEL COMPUTATION | July 2019 | October 2022 | Allow | 39 | 2 | 0 | Yes | No |
| 16522312 | MANAGING A CONTAINERIZED APPLICATION IN A CLOUD SYSTEM BASED ON USAGE | July 2019 | March 2022 | Abandon | 32 | 2 | 0 | No | No |
| 16457631 | ADAPTIVE PROGRAM TASK SCHEDULING ALGORITHM | June 2019 | April 2022 | Allow | 33 | 2 | 0 | Yes | No |
| 16456956 | TECHNOLOGIES FOR MANAGING ACCELERATOR RESOURCES | June 2019 | March 2022 | Abandon | 33 | 2 | 0 | No | No |
| 16453576 | ZERO COPY MESSAGE RECEPTION FOR DEVICES | June 2019 | October 2022 | Allow | 40 | 3 | 0 | Yes | No |
| 16448860 | ARCHITECTURE FOR OFFLOAD OF LINKED WORK ASSIGNMENTS | June 2019 | September 2023 | Abandon | 51 | 2 | 0 | Yes | No |
| 16464372 | DYNAMIC CAPACITY OPTIMIZATION FOR SHARED COMPUTING RESOURCES | May 2019 | November 2022 | Allow | 42 | 4 | 0 | Yes | No |
| 16464051 | SYSTEM AND METHOD FOR ANALYZING AND ASSOCIATING ELEMENTS OF A COMPUTER SYSTEM BY SHARED CHARACTERISTICS | May 2019 | January 2022 | Allow | 32 | 2 | 0 | Yes | No |
| 16388520 | TASK PROCESSING METHOD, APPARATUS, AND SYSTEM | April 2019 | February 2024 | Abandon | 58 | 4 | 0 | Yes | Yes |
| 16152426 | INFORMATION PROCESSING APPARATUS | October 2018 | September 2022 | Abandon | 48 | 4 | 0 | No | No |
| 16088190 | MANAGEMENT METHOD AND MANAGEMENT APPARATUS IN NETWORK SYSTEM | September 2018 | December 2022 | Abandon | 51 | 3 | 0 | No | No |
| 16078774 | DATA PROCESSING METHOD AND DEVICE | August 2018 | April 2022 | Allow | 44 | 2 | 0 | Yes | No |
| 16018680 | MECHANISM FOR CHOOSING EXECUTION MODE FOR LARGE NEURAL NETWORK | June 2018 | November 2023 | Allow | 60 | 4 | 0 | Yes | No |
| 15912746 | TECHNOLOGIES FOR MOVING WORKLOADS BETWEEN HARDWARE QUEUE MANAGERS | March 2018 | April 2022 | Abandon | 49 | 2 | 0 | No | No |
This analysis examines appeal outcomes and the strategic value of filing appeals for examiner LIN, HSING CHUN.
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, 0.0% of applications that filed an appeal were subsequently allowed. This appeal filing benefit rate is in the bottom 25% across the USPTO, indicating that filing appeals is less effective here than in most other areas.
⚠ Filing a Notice of Appeal shows limited benefit. Consider other strategies like interviews or amendments before appealing.
Examiner LIN, HSING CHUN works in Art Unit 2195 and has examined 56 patent applications in our dataset. With an allowance rate of 58.9%, this examiner allows applications at a lower rate than most examiners at the USPTO. Applications typically reach final disposition in approximately 37 months.
Examiner LIN, HSING CHUN's allowance rate of 58.9% places them in the 20% percentile among all USPTO examiners. This examiner is less likely to allow applications than most examiners at the USPTO.
On average, applications examined by LIN, HSING CHUN receive 2.55 office actions before reaching final disposition. This places the examiner in the 71% 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 LIN, HSING CHUN is 37 months. This places the examiner in the 32% percentile for prosecution speed. Prosecution timelines are slightly slower than average with this examiner.
Conducting an examiner interview provides a +84.6% benefit to allowance rate for applications examined by LIN, HSING CHUN. This interview benefit is in the 99% percentile among all examiners. Recommendation: Interviews are highly effective with this examiner and should be strongly considered as a prosecution strategy. Per MPEP § 713.10, interviews are available at any time before the Notice of Allowance is mailed or jurisdiction transfers to the PTAB.
When applicants file an RCE with this examiner, 30.8% of applications are subsequently allowed. This success rate is in the 64% 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 20.8% of cases where such amendments are filed. This entry rate is in the 28% 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, 0.0% result in withdrawal of the rejection or reopening of prosecution. This success rate is in the 7% percentile among all examiners. Note: Pre-appeal conferences show limited success with this examiner compared to others. While still worth considering, be prepared to proceed with a full appeal brief if the PAC does not result in favorable action.
When applicants file petitions regarding this examiner's actions, 0.0% are granted (fully or in part). This grant rate is in the 2% 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'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.