Proxy Read Routing in Dispersed Storage Networks Under Node Failure
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Solution Overview
Problem
Dispersed storage networks face challenges in efficiently handling storage unit failures and lag times, which can lead to data loss and performance issues due to the lack of effective anticipation and addressing of these failures within the system.
Innovation Solution
The implementation of a dispersed storage network that includes a managing unit for DS management services, an integrity processing unit for rebuilding 'bad' or missing encoded data slices, and a method for sending proxy read requests to ensure data availability and integrity by distributing error-encoded data across multiple storage units, using Cauchy Reed-Solomon encoding and decoding functions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is stored using traditional RAID systems with redundant copies, then data availability is improved, but storage efficiency deteriorates due to duplicate data occupying additional space
Solution Approach 1:
The patent segments data into multiple slices and disperses them across different storage units using information dispersal algorithms. Instead of storing complete redundant copies, the system divides data into fragments that can be reconstructed from a threshold number of slices, thereby reducing total storage requirements while maintaining data availability.
Solution Approach 2:
The system changes the storage parameter from storing complete data copies to storing encoded data slices with specific redundancy properties. By using error correction codes and dispersal algorithms, the system transforms the storage model to achieve both space efficiency and reliability through mathematical encoding rather than simple duplication.
2Reliability
If storage units are distributed across multiple locations, then system reliability is improved, but system complexity increases due to distributed management
Solution Approach 1:
The patent implements self-healing capabilities where the distributed storage system automatically detects missing or corrupted data slices and retrieves them from other storage units without external intervention. The system autonomously maintains data integrity through built-in error correction and automatic reconstruction mechanisms, reducing the need for complex external management.
Solution Approach 2:
The system incorporates feedback mechanisms where storage units report their status and data integrity to the managing unit, which then coordinates recovery operations. This feedback loop enables automatic detection and correction of storage issues, simplifying distributed system management through automated monitoring and response protocols.
3Speed
If read requests are processed directly by storage units, then response time is improved, but data loss risk increases when storage units fail or experience lag
Solution Approach 1:
The patent implements preliminary verification where the managing unit validates storage unit readiness and data integrity before processing read requests. By pre-checking storage unit status and data slice availability, the system prevents requests from being directed to failed or lagging units, thereby maintaining fast response times while eliminating data loss risks from faulty storage units.
Solution Approach 2:
The managing unit serves as an intermediary between clients and storage units, coordinating read requests and verifying storage unit readiness. This intermediary layer filters out requests to failed units and redirects them to available units, maintaining response efficiency while preventing data loss through centralized coordination and status monitoring.
Data Source
AI summary
A method includes receiving, by a read threshold number of storage units of a dispersed storage network (DSN), the read threshold number of read requests regarding the read threshold number of encoded data slices of a set of encoded data slices. The method further includes determining, by each storage unit of the read threshold number of storage units, whether the storage unit is capable of processing a respective read request. When a particular storage unit is not capable of processing the respective read request, the method further includes sending, by the particular storage unit, a proxy read request to another storage unit that is not in the read threshold number of storage units. The method further includes determining, by the other storage unit, whether the other storage unit is capable of processing the proxy read request and, when it is, processing the proxy read request.