Data Stream Reconstruction Across Heterogeneous Protocols
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Solution Overview
Problem
Existing data reconstruction methods fail to support a broad range of message types in heterogeneous enterprise IT architectures, as they typically target specific applications or protocols without providing robust support for multiple industry standard communication protocols.
Innovation Solution
A method and system for reconstructing data streams that listens to an original data stream, extracts messages, determines statistical data, and creates a reconstructed data stream using industry standard communication protocols, including XML/DTD, web services, RMI CORBA, and MQ, to support multiple communication protocols dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If application specific solutions are used for reconstructing data streams, then reconstruction accuracy for specific protocols is improved, but adaptability to heterogeneous enterprise IT architectures with multiple communication protocols deteriorates
Solution Approach 1:
The patent implements a universal data stream reconstructor that can handle multiple industry standard communication protocols (XML/DTD, web services, RMI CORBA, MQ, etc.) through a single system. The reconstructor uses statistical data extraction and message type identification to adaptively reconstruct data streams across heterogeneous protocols, eliminating the need for separate application-specific solutions for each protocol while maintaining high reconstruction accuracy.
2Measurement precision
If statistical data extraction from extracted messages is performed, then reconstruction accuracy is improved, but processing time and system complexity increase
Solution Approach 1:
The patent performs preliminary statistical data extraction and message type identification during the data capture phase. By pre-processing the original data stream to extract statistical characteristics and message types before reconstruction, the system reduces the complexity of the actual reconstruction process while maintaining high accuracy. This preliminary analysis enables the reconstructor to efficiently generate accurate reconstructed data streams without excessive processing complexity during runtime.
Data Source
AI summary
A method, system, and computer program product for reconstructing a data stream are provided. The method includes listening to an original data stream, and extracting messages from the original data stream. The method further includes determining statistical data from the extracted messages, and creating a reconstructed data stream using the statistical data.