View source for 20240028604. Cloud Computing-Based Adaptive Storage Layering System and Method simplified abstract (Kuyun (Shanghai) Information Technology Co., Ltd.)

=Cloud Computing-Based Adaptive Storage Layering System and Method=


==Organization Name==

[[:Category:Kuyun (Shanghai) Information Technology Co., Ltd.|Kuyun (Shanghai) Information Technology Co., Ltd.]]


[[Category:Kuyun (Shanghai) Information Technology Co., Ltd.]]

==Inventor(s)==

[[:Category:Shaoxiong Zhan of Shanghai (CN)|Shaoxiong Zhan of Shanghai (CN)]][[Category:Shaoxiong Zhan of Shanghai (CN)]]

[[:Category:Yang Li of Shanghai (CN)|Yang Li of Shanghai (CN)]][[Category:Yang Li of Shanghai (CN)]]

[[:Category:Qing Han of Shanghai (CN)|Qing Han of Shanghai (CN)]][[Category:Qing Han of Shanghai (CN)]]

==Cloud Computing-Based Adaptive Storage Layering System and Method - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240028604 titled 'Cloud Computing-Based Adaptive Storage Layering System and Method

==Simplified Explanation==

The disclosed patent application describes a cloud computing-based adaptive storage layering system and method. The system includes several modules for managing data nodes, metadata, adaptive storage layering, and pre-aggregated query routing. The system expands and shrinks node capacity based on predefined rules, aggregates and sorts queried hit models and scanned file paths, and performs layering loading and pre-loading on files. This system enables the construction of an efficient online analytical processing (OLAP) query execution engine to handle complex OLAP queries from various reporting systems, thereby enhancing the execution efficiency of cloud OLAP engines.

* The patent application describes a cloud computing-based adaptive storage layering system and method.
* The system includes modules for managing data nodes, metadata, adaptive storage layering, and pre-aggregated query routing.
* Node capacity is expanded and shrunk based on predefined rules.
* Queried hit models and scanned file paths are aggregated and sorted.
* Layering loading and pre-loading are performed on files.
* The system enables the construction of an efficient OLAP query execution engine for complex OLAP queries.
* The technology enhances the execution efficiency of cloud OLAP engines.

== Potential Applications ==
* Cloud-based data storage and management systems
* Online analytical processing (OLAP) query engines
* Reporting systems with complex OLAP queries

== Problems Solved ==
* Inefficient execution of complex OLAP queries in cloud-based systems
* Ineffective management of data nodes and metadata in cloud storage systems

== Benefits ==
* Enhanced execution efficiency of cloud OLAP engines
* Improved scalability and adaptability of cloud storage systems
* Efficient management of data nodes and metadata in cloud-based systems


==Original Abstract Submitted==

the disclosure provides a cloud computing-based adaptive storage layering system and method. the system includes a data node management module, a metadata management module, an adaptive storage layering module, and a pre-aggregated query routing module. according to predefined rules, node capacity is expanded and shrunk, collected queried hit models and scanned file paths are aggregated and sorted, and layering loading and pre-loading are performed on files. based on the disclosure, an efficient on-line analytical processing (olap) query execution engine may be constructed, to deal with complex olap queries of various reporting system. therefore, the execution efficiency of cloud olap engines can be significantly enhanced.



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