View source for 18048530. GENERATING DATA PLANES FOR PROCESSING OF DATA WORKLOADS simplified abstract (INTERNATIONAL BUSINESS MACHINES CORPORATION)

=GENERATING DATA PLANES FOR PROCESSING OF DATA WORKLOADS=


==Organization Name==

[[:Category:INTERNATIONAL BUSINESS MACHINES CORPORATION|INTERNATIONAL BUSINESS MACHINES CORPORATION]]


[[Category:INTERNATIONAL BUSINESS MACHINES CORPORATION]]

==Inventor(s)==

[[:Category:Sima Nadler of Kochav Yaïr (IL)|Sima Nadler of Kochav Yaïr (IL)]][[Category:Sima Nadler of Kochav Yaïr (IL)]]

[[:Category:Ronen Itshak Kat of Kochav Yaïr (IL)|Ronen Itshak Kat of Kochav Yaïr (IL)]][[Category:Ronen Itshak Kat of Kochav Yaïr (IL)]]

[[:Category:Michael Factor of Haifa (IL)|Michael Factor of Haifa (IL)]][[Category:Michael Factor of Haifa (IL)]]

[[:Category:Shlomit Koyfman of Kiryat Yam (IL)|Shlomit Koyfman of Kiryat Yam (IL)]][[Category:Shlomit Koyfman of Kiryat Yam (IL)]]

[[:Category:Roee Shlomo of Petah Tikva (IL)|Roee Shlomo of Petah Tikva (IL)]][[Category:Roee Shlomo of Petah Tikva (IL)]]

==GENERATING DATA PLANES FOR PROCESSING OF DATA WORKLOADS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18048530 titled 'GENERATING DATA PLANES FOR PROCESSING OF DATA WORKLOADS

==Simplified Explanation==

The abstract of the patent application describes a system that uses metadata, data governance decisions, and IT system metrics to generate a data plane and apply it to computing devices for specified workloads.

* The system includes a processor that generates a data plane based on dataset metadata, data plane component metadata, data governance decisions, and IT system metrics.
* The processor also applies components of the data plane for a specified workload across multiple computing devices selected by a control plane.

== Potential Applications ==
This technology could be applied in various industries such as healthcare, finance, and e-commerce for data management and optimization.

== Problems Solved ==
This technology helps in efficiently managing and processing large datasets across multiple computing devices, ensuring data governance and compliance.

== Benefits ==
The system provides a streamlined approach to data management, improves data processing efficiency, and enhances overall data governance practices.

== Potential Commercial Applications ==
"Optimizing Data Processing Across Computing Devices for Efficient Workload Management"

== Possible Prior Art ==
One possible prior art could be a similar system used in cloud computing environments to optimize data processing and workload management.

=== Unanswered Questions ===

=== How does this system handle data security and privacy concerns? ===
The system's approach to data security and privacy protection is not explicitly mentioned in the abstract. It would be important to understand how the technology ensures data confidentiality and compliance with regulations.

=== What scalability options does this system offer for growing datasets and workloads? ===
The abstract does not provide details on the scalability of the system for handling increasing datasets and workloads. Understanding the system's scalability capabilities would be crucial for organizations with expanding data needs.


==Original Abstract Submitted==

An example system includes a processor to generate a data plane based on dataset metadata, data plane component metadata, data governance decisions, and information technology (IT) system metrics. The processor is to also apply components of the data plane for a specified workload across a number of computing devices selected by a control plane.



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