Multi-Region Object Recovery for Encoded Slice Corruption
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Solution Overview
Problem
Current dispersed storage networks face challenges in efficiently managing and recovering from data corruption and storage unit failures without losing data, as they lack effective mechanisms for identifying and rebuilding corrupted or missing encoded data slices.
Innovation Solution
The implementation of a dispersed storage network with a managing unit and integrity processing unit that uses error encoding and decoding techniques, such as Cauchy Reed-Solomon encoding, to distribute data across multiple storage units, allowing for the identification and rebuilding of corrupted or missing data slices using a set of encoded data slices stored across geographically diverse locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is distributed across multiple storage units using error encoding, then data reliability and fault tolerance are improved, but the complexity of identifying and recovering from data corruption increases
Solution Approach 1:
The patent segments the data recovery task by dividing the set of storage units into different regions and processing each region separately. The integrity processing unit identifies corrupted encoded data slices in one region without needing to process all storage units, thereby reducing the overall complexity of data recovery while maintaining reliability across the distributed storage system.
2Reliability
If redundant copies of data are stored, then data availability is improved, but storage space efficiency deteriorates
Solution Approach 1:
The patent extracts only the necessary portion of data for recovery purposes. Instead of storing complete redundant copies of the entire data set, the system stores dispersed encoded data slices across multiple storage units, where only a subset of these slices is needed to recover the original data. This eliminates the need to maintain full redundant copies while ensuring data availability.
3Reliability
If data is dispersed across geographically diverse locations, then fault tolerance is improved, but the difficulty of managing and monitoring data integrity increases
Solution Approach 1:
The patent implements preliminary action by having storage units send integrity information about their stored encoded data slices to the integrity processing unit. This proactive approach allows the system to monitor data integrity across geographically diverse locations without requiring complex real-time monitoring, as the integrity status is continuously updated and available for quick assessment when needed.
Data Source
AI summary
A method for execution by one or more processing modules of one or more computing devices of a dispersed storage network (DSN) begins by identifying an unrecoverable encoded data slice of a data segment stored in a set of DSN storage units, where a region of a data object includes a plurality of data segments, and where the plurality of data segments includes the data segment. The method continues by determining whether the data segment is recoverable. The method continues, when recoverable, by salvaging the region by indicating that the region has corruption, updating a directory and replacing the data segment with filler data, and when not recoverable, by not salvaging the region by indicating that the region has been eliminated.