Wavefront Multiplexing for Data Availability and Privacy
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Solution Overview
Problem
Current data storage and transport methods face challenges in achieving high availability and privacy protection, with existing redundancy techniques like RAID 1 resulting in high space overhead and limited privacy protection.
Innovation Solution
The implementation of wavefront multiplexing (WFM) and demultiplexing (WFD) techniques to enhance fault tolerance, reliability, and availability by transforming data streams into wavefront components, which are then stored and retrieved across multiple physical and logical dimensions, providing enhanced redundancy and privacy through complex coefficient transformations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If RAID 1 is used to create redundant copies for data availability, then data availability is improved, but space overhead increases to 50%
Solution Approach 1:
The invention segments data into multiple sub-streams and processes them through different wavefront multiplexing paths, creating distributed redundancy across multiple storage devices. Instead of creating full redundant copies like RAID 1, the data is divided and redistributed across N output streams, reducing the storage overhead while maintaining availability through the wavefront reconstruction process.
Solution Approach 2:
The patent introduces wavefront multiplexing as an additional dimension for data redundancy, transforming data from simple temporal replication (RAID 1) into multi-dimensional wavefront components. This allows redundancy to be encoded in the wavefront structure itself rather than requiring separate physical copies, thereby reducing storage space requirements while maintaining data availability.
2Reliability
If simple copying is used for data redundancy, then data availability is improved, but privacy protection remains limited
Solution Approach 1:
The invention applies complex coefficient transformations through wavefront multiplexing to change the parameters of stored data. Instead of storing simple copies, the data is transformed into wavefront components with complex mathematical relationships. This obscures the original data content while maintaining reconstructability, thereby providing privacy protection without sacrificing availability.
Solution Approach 2:
The wavefront multiplexing process acts as an intermediary between the original data and its stored representation. The complex coefficient transformations serve as a mathematical veil, protecting privacy while allowing authorized reconstruction. This intermediary layer provides both availability and privacy protection simultaneously, unlike simple copying which offers neither adequate privacy nor efficient redundancy.
3Reliability
If wavefront multiplexing is used to transform data streams, then redundancy and privacy are enhanced, but processing complexity increases
Solution Approach 1:
The patent performs wavefront multiplexing transformations as a preliminary action during the data writing process. By pre-processing data into wavefront components before storage, the system establishes redundancy and privacy protection in advance. This preliminary transformation simplifies subsequent read operations, as the complex processing is done upfront rather than requiring complex operations during data retrieval and reconstruction.
Data Source
AI summary
For data writing, a first wavefront multiplexing (WFM) processor performs WFM on M input streams to generate N output streams. A pre-processor segments or codes a source stream to produce the M input streams. For data reading, a first wavefront demultiplexing (WFD) processor performs WFD on M input streams to generate N output streams. A post-processor de-segments or decodes the N output streams into a source stream.