Distributed Storage Data Transformation for Fault-Tolerant Encoding
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Solution Overview
Problem
Current distributed computing systems face challenges in securely and reliably storing and processing large amounts of data across multiple locations, as they are prone to data loss due to device and network failures without robust error correction and secure encoding mechanisms.
Innovation Solution
A distributed computing system that employs dispersed error encoding and decoding, where data is segmented, encoded, and distributed across multiple geographically disparate sites, allowing for secure storage and task processing with error correction capabilities that enable data retrieval even in the presence of failures, using a network of DST execution units and a DSTN module for management and integrity verification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If data is stored in a distributed manner across multiple devices, then storage capacity and accessibility are improved, but data loss risk increases due to device and network failures
Solution Approach 1:
The system divides data into multiple segments or slices and distributes them across different storage devices in the network. Each segment can be independently stored and retrieved, allowing the system to maintain high storage capacity while reducing data loss risk through distributed redundancy
Solution Approach 2:
The patent introduces encoding and decoding mechanisms as intermediaries between the data and storage devices. By applying error correction codes and encryption algorithms, the system transforms data into a format that can tolerate losses and corruptions during distributed storage, then reconstructs the original data when needed
2Reliability
If error correction and secure encoding mechanisms are implemented, then data reliability and security are improved, but system complexity increases
Solution Approach 1:
The system employs universal encoding and decoding algorithms that can be applied to any data type and distributed across any network configuration. These multi-functional mechanisms handle both error correction and security encryption in a unified manner, improving data reliability without proportionally increasing system complexity
Solution Approach 2:
The patent utilizes parameter changes in mathematical transformations (such as Fourier transforms and other signal processing techniques) to encode data in ways that inherently provide error resilience and security. By changing the representation parameters of the data rather than adding complex protective layers, the system achieves high reliability with manageable complexity
Data Source
AI summary
A method begins by a dispersed storage (DS) processing module determining whether at least a portion of temporarily stored data is to be stored long-term, wherein the temporarily stored data is stored in a set of distributed storage and task (DST) units in accordance with a computational-orientated dispersed storage error coding function. When the at least a portion of the temporarily stored data is to be stored long-term, the method continues with the DS processing module identifying one or more DST storing the at least a portion of the temporarily stored data, recovering the at least a portion of the temporarily stored data, dispersed storage error encoding the at least a portion of the temporarily stored data in a pre-dispersed storage error encoded format into a plurality of sets of encoded data slices, and storing the plurality of sets of encoded data slices in the set of DST units.