Shaul Dar
26Patents
3h-index
33Co-inventors
63Inventor score
Filing activity: Nov 22, 1994 → Sep 5, 2023
Most-cited inventions
| Patent | Title | Area | Cited by | Status |
|---|---|---|---|---|
| US5966139A | Scalable data segmentation and visualization system | Physics | 151 | Expired |
| US5897632A | Method and system for using materialized views to evaluate queries involving aggregation | Emerging Cross-Sectional Technologies | 89 | Expired |
| US5590327A | Method for making data objects having hidden pointers persistent | Physics | 34 | Expired |
| US11561700B2 | Techniques for workload balancing | Physics | 2 | Active |
| US12067280B2 | Systems and methods of forecasting temperatures of storage objects using machine learning | Physics | 1 | Active |
| US12197729B2 | System and method for input/output (IO) request stream sampling for machine learning-based optimizations in storage systems | Physics | 0 | Active |
| US11693570B2 | Machine learning to improve caching efficiency in a storage system | Physics | 0 | Active |
| US12373560B2 | System and method for machine learning-based detection of ransomware attacks on a storage system | Physics | 0 | Active |
| US11620263B2 | Data compression using dictionaries | Electricity | 0 | Active |
| US11704034B2 | Load balancing in a storage system | Physics | 0 | Active |
| US11960763B2 | Load balancing combining block and file storage | Physics | 0 | Active |
| US12271596B2 | Effective noise removal techniques for biased machine learning based optimizations in storage systems | Physics | 0 | Active |
| US12124714B2 | Data storage system with self tuning based on cluster analysis of workload features | Physics | 0 | Active |
| US12236123B1 | System and method for machine learning-temperature forecasting for automated tiering within a cloud storage system | Physics | 0 | Active |
| US11507327B1 | System and method of estimating performance headroom in a storage system | Physics | 0 | Active |
| US12079101B2 | System and method for modeling and forecasting input/output (IO) performance using adaptable machine learning | Physics | 0 | Active |
| US12039889B1 | Machine learning optimized storage system simulation in a virtual environment | Physics | 0 | Active |
| US11650763B1 | Determining policy regions of high-speed memory of a storage engine | Physics | 0 | Active |
| US11657008B2 | System and method for storage tiering optimization | Physics | 0 | Active |
| US11481131B2 | Techniques for estimating deduplication between storage volumes | Electricity | 0 | Active |
| US12333144B2 | System and method for distributed input/output (IO) performance forecasting across multiple machine learning models | Physics | 0 | Active |
| US12242757B2 | System and method for storage optimization using machine learning- driven application and workload identification | Physics | 0 | Active |
| US12253904B2 | Machine learning-based generation of self-healing policies for error messages encountered on storage systems | Physics | 0 | Active |
| US11487453B1 | Load balancing in a storage system | Physics | 0 | Active |
| US12411958B2 | Early and adaptive stream sampling system and method for machine learning-based optimizations in storage systems | Physics | 0 | Active |
Source: USPTO / EPO open patent data. Inventor disambiguation is heuristic; counts are objective bibliographic measures.