Dispersed Storage Network Data Consistency via Slice Reconstruction
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Solution Overview
Problem
Current dispersed storage networks face challenges in ensuring data consistency and reliability across geographically distributed storage systems, particularly in maintaining data integrity and availability in the face of device and network failures without the need for redundant copies.
Innovation Solution
A distributed computing system that employs dispersed error encoding and decoding techniques to store and retrieve data across multiple geographically disparate sites, using a network of DST execution units to encode data into slice groups, which can be reconstructed from any subset of encoded slices, ensuring data integrity and availability even with failures, and supports distributed task processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is stored in a dispersed storage network across geographically distributed sites, then data availability and fault tolerance are improved, but data consistency and integrity become more difficult to maintain
Solution Approach 1:
The patent segments data into multiple slices that are distributed across different storage units in the network. Each slice is independently stored, allowing the system to maintain data availability even when some storage units fail. The segmentation enables fault tolerance while preserving data consistency through controlled reconstruction of original data from available slices.
Solution Approach 2:
The patent implements feedback mechanisms where storage units report their status and data integrity information to the system. This feedback enables the system to detect inconsistencies, track data location, and coordinate reconstruction operations to maintain data consistency across the distributed network while preserving availability.
2Reliability
If redundant copies of data are stored to ensure availability, then data reliability is improved, but storage efficiency and space utilization deteriorate
Solution Approach 1:
The patent uses a selective copying approach where data is divided into slices and distributed across storage units. Instead of creating full redundant copies, the system stores multiple slices that can be reconstructed to recover the original data. This reduces storage space requirements while maintaining data availability and reliability through distributed redundancy.
3Reliability
If data is encoded and distributed across multiple storage units, then fault tolerance is improved, but system complexity and management difficulty increase
Solution Approach 1:
The patent implements a universal control mechanism that manages multiple storage units and encoded slices through a standardized interface. The control unit performs multiple functions including encoding data into slices, distributing slices to storage units, monitoring system status, and coordinating reconstruction operations. This multi-functionality reduces management complexity despite the distributed nature of the system.
Data Source
AI summary
A method begins by a requesting entity sending a normal data segment access request to first and second groups of storage units of a dispersed storage network. The method continues with the requesting entity sending a group failure data segment access request to the first group of storage units when the second group of storage units has less than a decode threshold number of encoded data slices of a set of encoded data slices available. When the second group of storage units has reestablished that the at least the decode threshold number of encoded data slices is available, the method continues with the requesting entity sending a re-integration data segment write request to the first and second groups of storage units and sending a re-integration data segment read request to the first group of storage units.