View source for 18590120. DATA PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM simplified abstract (HUAWEI TECHNOLOGIES CO., LTD.)

=DATA PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM=


==Organization Name==

[[:Category:HUAWEI TECHNOLOGIES CO., LTD.|HUAWEI TECHNOLOGIES CO., LTD.]]


[[Category:HUAWEI TECHNOLOGIES CO., LTD.]]

==Inventor(s)==

[[:Category:Shu Shen of Dongguan (CN)|Shu Shen of Dongguan (CN)]][[Category:Shu Shen of Dongguan (CN)]]

[[:Category:Qiqing Wu of Shenzhen (CN)|Qiqing Wu of Shenzhen (CN)]][[Category:Qiqing Wu of Shenzhen (CN)]]

[[:Category:Jian Yang of Shenzhen (CN)|Jian Yang of Shenzhen (CN)]][[Category:Jian Yang of Shenzhen (CN)]]

==DATA PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18590120 titled 'DATA PROCESSING METHOD AND APPARATUS, COMPUTER DEVICE, AND COMPUTER-READABLE STORAGE MEDIUM

'''Simplified Explanation:'''
The patent application describes a method for processing data in a storage system where storage and computing are separated. The method involves sending a data processing request to a gateway device in the storage cluster, which then forwards the request to a storage node for processing.

* Decoupling storage and computing in a storage system
* Sending data processing requests to gateway devices in the storage cluster
* Forwarding requests to storage nodes for processing

'''Potential Applications:'''
This technology could be applied in cloud computing environments, distributed storage systems, and data processing centers where separating storage and computing tasks is beneficial.

'''Problems Solved:'''
This technology addresses the challenge of efficiently processing data in storage systems by optimizing the flow of data processing requests between computing nodes and storage nodes.

'''Benefits:'''
- Improved efficiency in data processing
- Scalability in storage systems
- Enhanced performance in computing clusters

'''Commercial Applications:'''
The technology could be used in cloud computing services, big data analytics platforms, and enterprise storage solutions to improve data processing capabilities and overall system performance.

'''Prior Art:'''
Prior research in the field of distributed computing and storage systems may provide insights into similar methods of decoupling storage and computing tasks.

'''Frequently Updated Research:'''
Researchers are continually exploring new ways to optimize data processing in storage systems, so staying informed on the latest developments in distributed computing and storage technologies is crucial.

'''Questions about data processing in storage systems:'''
1. How does decoupling storage and computing tasks improve data processing efficiency?
2. What are the key challenges in implementing a decoupled storage and computing system?


==Original Abstract Submitted==

Example data processing methods and apparatuses, example computer devices, and example computer-readable storage medium are provided. An example data processing method is applied to a storage system in which storage and computing are decoupled. The storage system includes a computing cluster and a storage cluster. The example method is performed by a computing node in the computing cluster. The example method includes receiving a data processing request, where the data processing request indicates to process a file. A first gateway device is determined from a plurality of gateway devices in the storage cluster. The data processing request is sent to the first gateway device, where the first gateway device forwards the data processing request to a storage node in the storage cluster to complete the processing of the file.



[[Category:H04L67/1097]]
[[Category:CPC_H04L67/1097]]