Intelligent Storage Device Data Error Recovery
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Solution Overview
Problem
Existing distributed file systems face inefficiencies in data error detection and recovery, as they often require removing a datanode upon error detection, even if the error is correctable, leading to unnecessary time and resource expenditure.
Innovation Solution
Intelligent storage devices equipped with error detection capabilities can autonomously scan for errors, notify the distributed file system, and initiate data recovery by receiving corrected data from replicated nodes without removing the faulty node, thereby allowing for error correction without node removal.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the distributed file system removes the datanode upon error detection, then data reliability is improved, but system productivity deteriorates due to unnecessary node re-replication
Solution Approach 1:
The datanode performs self-diagnosis by executing error detection routines and evaluating error characteristics against correction criteria. The system enables self-service through automated error detection, classification, and decision-making at the datanode level, allowing it to self-correct errors without external intervention or node removal, thereby maintaining productivity while ensuring reliability
Solution Approach 2:
The system changes the state parameter of the datanode from 'removed' to 'corrected' based on error analysis. By evaluating error characteristics and applying correction when criteria are met, the system transitions the datanode state to maintain its functional role, avoiding the productivity loss associated with node removal and re-replication while preserving data reliability through error correction
2Reliability
If the distributed file system removes the datanode upon error detection, then data reliability is improved, but time consumption increases due to node re-replication
Solution Approach 1:
The system performs preliminary error detection and evaluation before node removal is triggered. By proactively scanning for errors, classifying them, and attempting correction in advance, the system prevents the time-consuming node removal and re-replication process. The preliminary action of error correction maintains reliability while avoiding the time loss associated with node replacement
Solution Approach 2:
The datanode autonomously performs error detection, evaluation, and correction without requiring node removal. This self-service mechanism eliminates the time-consuming coordination, data transfer, and re-replication processes that would otherwise be necessary, maintaining both reliability and time efficiency
3Reliability
If the distributed file system removes the datanode upon error detection, then data reliability is improved, but resource utilization increases due to node re-replication
Solution Approach 1:
The datanode autonomously detects and corrects errors using its own resources, eliminating the need for energy-intensive node removal and re-replication operations. This self-service approach maintains data reliability while significantly reducing the resource utilization associated with node replacement, including network bandwidth, storage I/O, and computational overhead
Solution Approach 2:
The system changes the datanode state from 'removed and re-replicated' to 'error corrected', thereby preventing the resource-intensive re-replication process. By modifying the system state to reflect successful error correction, the system maintains reliability while avoiding the energy loss associated with node replacement operations
Data Source
AI summary
A storage device is described that detects a data error and then notifies a distributed file system, for example, of such error. A data recovery can then be initiated in many ways, one way by the storage device.