XML Substream Recombination for Better Compression on Mobile Devices
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing XML data processing technologies face inefficiencies, particularly in mobile devices with limited storage, memory, and bandwidth, due to the large size and complexity of XML documents, which hinder efficient data transfer and processing.
Innovation Solution
The method involves splitting a data stream into substreams based on metadata criteria, reordering and recombining them to improve compressibility, and applying compression algorithms to reduce the overall data size effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If XML data is used for data sharing and representation, then platform independence and data structure flexibility are improved, but data size and processing time increase significantly
Solution Approach 1:
The patent segments the XML data stream into multiple substreams based on metadata criteria such as element types, attributes, and hierarchical structures. This segmentation allows selective processing and compression of different data portions, reducing overall data size while maintaining platform independence and structural flexibility.
2Adaptability or versatility
If XML data is used for comprehensive data representation, then data structure flexibility is improved, but storage and memory requirements increase
Solution Approach 1:
The patent applies different compression techniques and processing strategies to different substreams based on their specific characteristics. Metadata-driven rules assign appropriate compression methods to specific XML elements, attributes, or data types, optimizing storage efficiency while preserving the flexibility needed for various data structures.
3Adaptability or versatility
If XML documents are processed on mobile devices, then data sharing capability is improved, but processing time and energy consumption increase
Solution Approach 1:
The patent performs preliminary compression and organization of XML data into optimized substreams before transmission or storage. By pre-processing the data according to metadata criteria and compression rules, the system reduces the processing burden on mobile devices, thereby decreasing processing time and energy consumption while maintaining full data sharing capability.
4Adaptability or versatility
If XML data is transmitted over networks, then information sharing is improved, but bandwidth consumption and transfer time increase
Solution Approach 1:
The patent transforms XML data parameters by reorganizing the data stream according to metadata criteria, changing the structural parameters to enable more efficient compression. This parameter transformation reduces the volume of data transmitted over networks while preserving the information sharing capability across different platforms and applications.
Data Source
AI summary
Methods, apparatuses, and articles of manufacture for receiving a stream of data, splitting the stream of data into a plurality of substreams based on one or more criteria, and selectively recombining the substreams based on one or more additional criteria, to improve overall effectiveness in compressing the stream of data, are described herein.