View source for 18741926. GENERATING QUERY COST DATA FOR QUERY REQUESTS BASED ON POWER simplified abstract (Ocient Holdings LLC)

=GENERATING QUERY COST DATA FOR QUERY REQUESTS BASED ON POWER=


==Organization Name==

[[:Category:Ocient Holdings LLC|Ocient Holdings LLC]]


[[Category:Ocient Holdings LLC]]

==Inventor(s)==

[[:Category:S. Christopher Gladwin of Chicago IL (US)|S. Christopher Gladwin of Chicago IL (US)]][[Category:S. Christopher Gladwin of Chicago IL (US)]]

[[:Category:Andrew D. Baptist of Mt. Pleasant WI (US)|Andrew D. Baptist of Mt. Pleasant WI (US)]][[Category:Andrew D. Baptist of Mt. Pleasant WI (US)]]

[[:Category:George Kondiles of Chicago IL (US)|George Kondiles of Chicago IL (US)]][[Category:George Kondiles of Chicago IL (US)]]

[[:Category:Jason Arnold of Chicago IL (US)|Jason Arnold of Chicago IL (US)]][[Category:Jason Arnold of Chicago IL (US)]]

==GENERATING QUERY COST DATA FOR QUERY REQUESTS BASED ON POWER - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18741926 titled 'GENERATING QUERY COST DATA FOR QUERY REQUESTS BASED ON POWER

The abstract of the patent application describes a database system that operates by determining query requests, generating potential query cost data, and ensuring compliance with minimum query cost rules before executing the query request against the database system.

* The system determines query requests from requesting entities.
* It generates potential query cost data based on query cost data for the query request, including power consumption.
* The system also considers running query cost data for previous query requests from the same entity.
* Minimum query cost compliance data is generated to check if the potential query cost data meets minimum query cost rules.
* If the potential query cost data complies with the minimum query cost rule, the system executes the query request and determines a query result.

Potential Applications:
- This technology can be applied in various industries where efficient query processing is essential, such as finance, healthcare, and e-commerce.
- It can be used in data analytics platforms to optimize query performance and reduce operational costs.

Problems Solved:
- The system addresses the challenge of optimizing query processing efficiency while minimizing power consumption.
- It ensures that query requests meet minimum cost requirements to improve overall system performance.

Benefits:
- Improved query processing efficiency.
- Reduced power consumption.
- Enhanced system performance and cost-effectiveness.

Commercial Applications:
Title: "Efficient Query Processing System for Enhanced Performance"
This technology can be commercialized as a database management solution for businesses looking to streamline their data processing operations. It can be marketed to industries that rely heavily on data analytics and real-time query processing.

Questions about the technology:
1. How does this system compare to traditional database management systems in terms of query processing efficiency?
2. What are the potential cost savings for businesses implementing this technology?


==Original Abstract Submitted==

A database system operates by: determining a query request corresponding to a requesting entity; generating potential query cost data based on query cost data for the query request including power consumption and further based on running query cost data for at least one previous query request corresponding to the requesting entity; generating minimum query cost compliance data for the query request based on determining whether the potential query cost data complies with a minimum query cost rule; when the minimum query cost compliance data indicates the potential query cost data complies with the minimum query cost rule: determining a query result for the query request based on execution of the query request against a database system.



[[Category:G06F16/2453]]
[[Category:CPC_G06F16/24545]]