18401736. DATA COMPRESSION METHOD AND APPARATUS, COMPUTING DEVICE, AND STORAGE SYSTEM simplified abstract (Huawei Technologies Co., Ltd.)
Contents
- 1 DATA COMPRESSION METHOD AND APPARATUS, COMPUTING DEVICE, AND STORAGE SYSTEM
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 DATA COMPRESSION METHOD AND APPARATUS, COMPUTING DEVICE, AND STORAGE SYSTEM - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
DATA COMPRESSION METHOD AND APPARATUS, COMPUTING DEVICE, AND STORAGE SYSTEM
Organization Name
Inventor(s)
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.
