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For the Inventor, By the Inventor

Toronto, Canada

David C Kalmuk

This inventor holds 26 USPTO granted patents, plus 2 CIPO patents, primarily in Data Management Systems. Top assignee: International Business Machines Corporation. Active years: 2006-2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: David C Kalmuk. Retrieved from https://idiyas.com/inventor/david-c-kalmuk

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

USPTO Granted Patents = 26

% Patents Active = 26.9


Average Co-Inventor Count = 3.6

ph-index = 6

Forward Citations = 119(Granted Patents)


Location History:

  • Totonto, CA (2015 - 2016)
  • Toronto, CA (2006 - 2017)
  • Ontario, CA (2015 - 2021)
  • Markham, CA (2020 - 2022)

Company Filing History:

goldMedal26 out of 166,325 
 
International Business Machines Corporation
 patents

Years Active: 2006-2025

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Areas of Expertise:
Cloud Object Storage
Workload Resource Optimization
Dynamic Memory Management
Efficient Monitoring
Asynchronous Interconnect Protocol
Tunable Job Scheduling
Predictive Job Admission Control
Partitioned Bloom Filter
Database Management Systems
Data Transfers
Processor Provisioning
Adaptive Resource Limits
26 patents (USPTO):Explore Patents
1. 12450220 - Storing data pages of a database in a cloud object storage (2025-10-21),
2. 12423189 - Point-in-time backup of application data stored on disparate storage systems (2025-09-23),
3. 12417126 - Dynamic renewable runtime resource management (2025-09-16),
4. 11500830 - Learning-based workload resource optimization for database management systems (2022-11-15),
5. 11036737 - Partitioned bloom filter merge for massively parallel processing clustered data management (2021-06-15),
6. 10956215 - Predictive job admission control with feedback (2021-03-23),
7. 10719512 - Partitioned bloom filter merge for massively parallel processing clustered data management (2020-07-21),
8. 9813502 - Data transfers in columnar data systems (2017-11-07),
9. 9720602 - Data transfers in columnar data systems (2017-08-01),
10. 9417913 - Tunable computerized job scheduling (2016-08-16),
11. 9361154 - Tunable computerized job scheduling (2016-06-07),
12. 9311149 - Processor provisioning by a middleware processing system (2016-04-12),
13. 9298508 - Processor provisioning by a middleware processing system (2016-03-29),
14. 9280393 - Processor provisioning by a middleware processing system for a plurality of logical processor partitions (2016-03-08),
15. 9244744 - Adaptive resource usage limits for workload management (2016-01-26),

Title: The Inventive Mind of David C Kalmuk

Introduction:

David C Kalmuk, a prolific inventor based in Toronto, Canada, has made significant contributions to the field of database management systems through his innovative patents.

Latest Patents:

1. "Learning-based workload resource optimization for database management systems": This patent showcases Kalmuk's expertise in developing a DBMS training subsystem that efficiently predicts production resource requirements based on historical data and workload clustering.

2. "Partitioned bloom filter merge for massively parallel processing clustered data management": Kalmuk's method for a partitioned bloom filter merge demonstrates his proficiency in streamlining data processing in massively parallel systems.

Career Highlights:

With an impressive portfolio of 23 patents, David C Kalmuk is a key player in driving advancements in database management systems. His work at IBM has been instrumental in revolutionizing data processing techniques.

Collaborations:

Kalmuk has collaborated closely with esteemed colleagues such as Paul Miller Bird and Hebert Walter Pereyra, showcasing his ability to work effectively in team environments to achieve common goals.

Conclusion:

In conclusion, David C Kalmuk's innovative spirit and dedication to pushing the boundaries of database management systems have solidified his reputation as a pioneering inventor in the field. His groundbreaking patents continue to shape the future of data processing technologies.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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