View source for Snowflake inc. (20240330319). RESOURCE MANAGEMENT SYSTEMS AND METHODS simplified abstract

=RESOURCE MANAGEMENT SYSTEMS AND METHODS=


==Organization Name==

[[:Category:snowflake inc.|snowflake inc.]]


[[Category:snowflake inc.]]

==Inventor(s)==

[[:Category:Benoit Dageville of Foster City CA (US)|Benoit Dageville of Foster City CA (US)]][[Category:Benoit Dageville of Foster City CA (US)]]

[[:Category:Thierry J:;ruanes of San Mateo CA (US)|Thierry J:;ruanes of San Mateo CA (US)]][[Category:Thierry J:;ruanes of San Mateo CA (US)]]

[[:Category:Marcin Zukowski of San Mateo CA (US)|Marcin Zukowski of San Mateo CA (US)]][[Category:Marcin Zukowski of San Mateo CA (US)]]

==RESOURCE MANAGEMENT SYSTEMS AND METHODS - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240330319 titled 'RESOURCE MANAGEMENT SYSTEMS AND METHODS

The abstract describes a resource management system that includes a memory, a processing device, and an execution node to process queries referencing database data.

* The system determines the task associated with processing the query and creates an execution node with cache resources and processing resources.
* The size of the cache resources and processing resources of the execution node are determined based on the task.
* The execution node is part of a group of execution nodes to process the task efficiently.

Potential Applications:
- This technology can be applied in database management systems to optimize query processing.
- It can be used in cloud computing environments to improve resource allocation and performance.

Problems Solved:
- Efficiently managing resources for processing queries in databases.
- Optimizing performance and resource utilization in cloud computing environments.

Benefits:
- Improved query processing speed and efficiency.
- Enhanced resource allocation and utilization in cloud environments.

Commercial Applications:
- This technology can be valuable for companies that rely on databases for their operations, such as e-commerce platforms and financial institutions.
- Cloud service providers can also benefit from this innovation to enhance their resource management capabilities.

Prior Art:
- Researchers and developers can explore prior art related to database management systems, resource allocation, and cloud computing technologies.

Frequently Updated Research:
- Stay updated on advancements in database management systems, resource allocation algorithms, and cloud computing technologies to enhance the efficiency of resource management systems.

Questions about Resource Management Systems:
1. How does this technology improve query processing in databases?
2. What are the key advantages of using execution nodes with cache and processing resources in resource management systems?


==Original Abstract Submitted==

example resource management systems and methods are described. in one implementation, a system includes a memory and a processing device operatively coupled to the memory. the processing device is to receive a query referencing database data stored in a storage platform, determine a task associated with processing the received query, and create an execution node comprising cache resources and processing resources. furthermore, a size of the cache resources of the execution node is determined upon creation of the execution node, based at least in part on the task, and processing resources of the execution node are determined upon creation of the execution node, based at least in part on the task. the execution node is included within a plurality of execution nodes to process the task associated with processing the received query.



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