View source for 18401736. DATA COMPRESSION METHOD AND APPARATUS, COMPUTING DEVICE, AND STORAGE SYSTEM simplified abstract (Huawei Technologies Co., Ltd.)

=DATA COMPRESSION METHOD AND APPARATUS, COMPUTING DEVICE, AND STORAGE SYSTEM=


==Organization Name==

[[:Category:Huawei Technologies Co., Ltd.|Huawei Technologies Co., Ltd.]]


[[Category:Huawei Technologies Co., Ltd.]]

==Inventor(s)==

[[:Category:Sizhe Luo of Hangzhou (CN)|Sizhe Luo of Hangzhou (CN)]][[Category:Sizhe Luo of Hangzhou (CN)]]

[[:Category:Ruliang Dong of Hangzhou (CN)|Ruliang Dong of Hangzhou (CN)]][[Category:Ruliang Dong of Hangzhou (CN)]]

[[:Category:Hongde Zhu of Hangzhou (CN)|Hongde Zhu of Hangzhou (CN)]][[Category:Hongde Zhu of Hangzhou (CN)]]

[[:Category:Yong Sun of Hangzhou (CN)|Yong Sun of Hangzhou (CN)]][[Category:Yong Sun of Hangzhou (CN)]]

==DATA COMPRESSION METHOD AND APPARATUS, COMPUTING DEVICE, AND STORAGE SYSTEM - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18401736 titled 'DATA COMPRESSION METHOD AND APPARATUS, COMPUTING DEVICE, AND STORAGE SYSTEM

==Simplified Explanation==

The abstract describes a data compression method where a computing device determines a compression feature value of data to be compressed based on a parameter affecting the compression result. The device then determines a compression policy based on the feature value, compresses the data according to the policy, and stores the compressed data.

* The computing device determines a compression feature value of data to be compressed based on a parameter.
* Based on the compression feature value, the device determines a compression policy for compressing the data.
* The data is compressed according to the compression policy to obtain compressed data.
* The compressed data is stored for future use.

== Potential Applications ==
This technology can be applied in various fields such as data storage, file transfer, and network communication where efficient data compression is required.

== Problems Solved ==
1. Efficient data compression: By determining compression policies based on feature values, this technology helps in achieving optimal compression results.
2. Storage optimization: Storing compressed data saves storage space and improves data management efficiency.

== Benefits ==
1. Improved data transfer speeds: Compressed data can be transferred faster over networks.
2. Reduced storage costs: Storing compressed data requires less storage space, leading to cost savings.
3. Enhanced data security: Compressed data can be encrypted more effectively for secure storage and transfer.

== Potential Commercial Applications ==
Optimized data compression technology for cloud storage services

== Possible Prior Art ==
One example of prior art in data compression methods is the Lempel-Ziv-Welch (LZW) algorithm, which is commonly used for lossless data compression.


==Original Abstract Submitted==

In a data compression method, a computing device determines a compression feature value of to-be-compressed data based on a first parameter that affects a compression result of the to-be-compressed data. The computing device determines, based on the compression feature value, a compression policy for compressing the to-be-compressed data. The computing device then compresses the to-be-compressed data according to the compression policy to obtain compressed data, and stores the compressed data.



[[Category:G06F3/06]]