Mohammad Rafey
15Patents
3h-index
8Co-inventors
42Inventor score
Filing activity: Jul 31, 2018 → Sep 16, 2021
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US11068328B1 | Controlling operation of microservices utilizing association rules determined from microservices runtime call pattern data | Physics | 5 | Active |
| US11509715B2 | Proactive replication of software containers using geographic location affinity to predicted clusters in a distributed computing environment | Electricity | 4 | Active |
| US11029938B1 | Software update compatibility assessment | Physics | 3 | Active |
| US11314609B2 | Diagnosing and remediating errors using visual error signatures | Physics | 3 | Active |
| US11321141B2 | Resource management for software containers using container profiles | Physics | 2 | Active |
| US11392821B2 | Detecting behavior patterns utilizing machine learning model trained with multi-modal time series analysis of diagnostic data | Physics | 1 | Active |
| US11429422B2 | Software container replication using geographic location affinity in a distributed computing environment | Physics | 0 | Active |
| US10860400B2 | Intelligent monitoring and diagnostics for application support | Physics | 0 | Active |
| US11822618B2 | System and method for profiling for microsegmentation based on unique signature of a device | Electricity | 0 | Active |
| US11256593B2 | Software container image quality ranking based on performance of instances of the software container images | Physics | 0 | Active |
| US11467884B2 | Determining a deployment schedule for operations performed on devices using device dependencies and predicted workloads | Physics | 0 | Active |
| US11847446B2 | Predictive build quality assessment | Physics | 0 | Active |
| US11803426B2 | Determining a deployment schedule for operations performed on devices using device dependencies and redundancies | Physics | 0 | Active |
| US12204432B2 | Computer update performance assessment | Physics | 0 | Active |
| US11436412B2 | Predictive event searching utilizing a machine learning model trained using dynamically-generated event tags | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.