View source for 17850597. SYSTEM AND METHOD FOR REDUCTION OF DATA TRANSMISSION BY OPTIMIZATION OF INFERENCE ACCURACY THRESHOLDS simplified abstract (Dell Products L.P.)

=SYSTEM AND METHOD FOR REDUCTION OF DATA TRANSMISSION BY OPTIMIZATION OF INFERENCE ACCURACY THRESHOLDS=


==Organization Name==

[[:Category:Dell Products L.P.|Dell Products L.P.]]


[[Category:Dell Products L.P.]]

==Inventor(s)==

[[:Category:Ofir Ezrielev of Be'er Sheva (IL)|Ofir Ezrielev of Be'er Sheva (IL)]][[Category:Ofir Ezrielev of Be'er Sheva (IL)]]

[[:Category:Jehuda Shemer of Kfar Saba (IL)|Jehuda Shemer of Kfar Saba (IL)]][[Category:Jehuda Shemer of Kfar Saba (IL)]]

==SYSTEM AND METHOD FOR REDUCTION OF DATA TRANSMISSION BY OPTIMIZATION OF INFERENCE ACCURACY THRESHOLDS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 17850597 titled 'SYSTEM AND METHOD FOR REDUCTION OF DATA TRANSMISSION BY OPTIMIZATION OF INFERENCE ACCURACY THRESHOLDS

==Simplified Explanation==

The patent application describes methods and systems for managing the aggregation of data in a distributed environment. It introduces a data aggregator and data collectors to handle the aggregation process.

* The data aggregator obtains a threshold that represents an acceptable error level for the aggregated data's downstream consumer.
* The threshold is determined by simulating the downstream consumer's operation using synthetic data sets.
* The synthetic data sets contain different levels of error, allowing the data aggregator to identify the level of error that would still be acceptable for the downstream consumer's operation.
* To optimize data aggregation, an inference model is implemented that meets the threshold while minimizing the consumption of computing resources.

== Potential Applications ==
This technology can be applied in various fields where data aggregation is necessary, such as:

* Internet of Things (IoT) systems
* Big data analytics
* Supply chain management
* Financial data aggregation

== Problems Solved ==
The technology addresses the following problems:

* Ensuring the aggregated data meets the acceptable error level for downstream consumers.
* Optimizing the use of computing resources during the data aggregation process.
* Simulating and determining the impact of different error levels on the operation of downstream consumers.

== Benefits ==
The technology offers several benefits:

* Improved accuracy and reliability of aggregated data.
* Efficient utilization of computing resources.
* Ability to customize the acceptable error level based on specific downstream consumer requirements.
* Enhanced performance and effectiveness of data aggregation in distributed environments.


==Original Abstract Submitted==

Methods and systems for managing aggregation of data throughout a distributed environment are disclosed. To manage aggregation of data, a system may include a data aggregator and one or more data collectors. The data aggregator may obtain a threshold, the threshold indicating an acceptable error level associated with a downstream consumer of the aggregated data. The data aggregator may obtain the acceptable error level by simulating operation of the downstream consumer using synthetic data sets. The synthetic data sets may include different levels of error and, therefore, the data aggregator may determine a level of error that may impact the operation of the downstream consumer to an acceptable degree. In order to facilitate data aggregation, an inference model may be implemented that meets the threshold while consuming a minimum quantity of computing resources during operation.



[[Category:G06N5/04]]
[[Category:G06F16/2455]]