Byte-Vector Data Referencing for Fixed-Size Data Centers
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Solution Overview
Problem
Data centers face challenges with uncontrolled growth in size and cost due to increasing data storage demands, coupled with security risks from cyber-attacks.
Innovation Solution
A method and system that decomposes data into bytes represented by key values, vectorizes the data, and returns references to existing data centers for storage, allowing efficient recycling and reducing physical size while enhancing security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data centers store more data to meet increasing demand, then storage capacity is improved, but physical size and cost increase uncontrollably
Solution Approach 1:
The patent creates virtual copies of data through vectorization. Instead of storing physical duplicate data, the system generates vector representations that can be replicated and shared across multiple data centers. These vectors serve as lightweight copies that reference the original data, enabling unlimited storage capacity without proportional increases in physical storage space.
Solution Approach 2:
The patent transitions from storing data in traditional physical dimensions to a new dimensional space through vectorization. Data is transformed into vector space where information is represented by mathematical vectors, allowing the same physical infrastructure to serve multiple data storage needs simultaneously across different dimensional representations.
2Quantity of substance
If data centers expand storage infrastructure to handle growing data volumes, then storage capacity is improved, but maintenance costs increase
Solution Approach 1:
The system creates virtual data copies through vectorization that can be distributed and managed without proportionally increasing physical infrastructure. These vector copies enable data to be stored and accessed across existing infrastructure, reducing the need for additional hardware maintenance and associated energy costs.
Solution Approach 2:
The vectorized data representation enables a single physical storage infrastructure to serve multiple functions and multiple data centers simultaneously. The same storage resources can hold vector representations of different datasets, making the infrastructure universally applicable and reducing per-data-center maintenance costs.
3Reliability
If complete data is stored in data centers to ensure data availability, then data accessibility is improved, but security risk from cyber-attacks increases
Solution Approach 1:
The patent extracts the essential information from complete data sets by creating vector representations. These vectors contain the core data characteristics and can be used to reconstruct or reference the original data, but they are not the complete data themselves. This extraction reduces the attack surface for cyber threats while preserving data availability through vector references.
Solution Approach 2:
The vector representation serves as an intermediary between the original data and storage systems. Instead of storing and protecting complete sensitive data, the system stores vector intermediaries that can reconstruct or reference the original information when needed, reducing security risks while maintaining data accessibility.
Data Source
AI summary
A method is provided for referencing data. The method comprises receiving a request including data to be stored. Decomposing the data to be stored byte to byte into a plurality of bytes. Each byte of the data being represented by a key value. Vectorizing the decomposed data to obtain a first vector for the data to be stored. The first vector comprises at least one pair of values. Each pair of values comprising a first value and a second value. The first value represents one or more bytes having a unique key value in the decomposed data. The second value indicates instances of the one or more bytes having the unique key value presented in the decomposed data. Determining whether the vectorized data exists in the one or more data centers. Returning a reference for the data to be stored based on a result of the determining step.