Node Wear-Leveling Engine for Balanced Remaining Lifetimes
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Solution Overview
Problem
Existing distributed systems fail to uniformly distribute wear among computer nodes, leading to some nodes being underutilized or overutilized and nearing failure, due to node selection based solely on node IDs, resulting in uneven remaining lifetimes.
Innovation Solution
Implement a node wear-leveling engine that predicts remaining lifetimes of computer nodes based on wear indicators, using a node wear-modeling engine to estimate and rank nodes, allowing for selection based on expected lifetimes to uniformly distribute wear, thereby optimizing node usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If computer nodes are selected for parallel processing without wear consideration, then processing throughput is increased, but wear distribution among nodes becomes uneven leading to overutilization and potential failure
Solution Approach 1:
The system implements a wear-leveling engine that continuously monitors and tracks the wear state of each computer node, using this feedback information to dynamically adjust node selection for parallel processing tasks. This ensures that nodes with lower wear are prioritized, preventing overutilization and extending system reliability while maintaining high processing throughput
Solution Approach 2:
The patent applies dynamic wear-leveling strategies that adaptively adjust the selection of computer nodes based on real-time wear states. The system dynamically modifies processing task allocation to balance wear distribution across nodes, allowing the system to maintain optimal productivity while preventing any single node from reaching failure thresholds
2Reliability
If wear leveling is implemented to distribute wear uniformly, then node reliability is improved, but system complexity increases due to wear monitoring and management
Solution Approach 1:
The wear-leveling engine operates autonomously to monitor, track, and manage the wear state of computer nodes without requiring external intervention. The system self-adjusts task allocation based on wear information, reducing the need for complex manual management while improving node reliability through automated wear balancing
Data Source
AI summary
A technique includes receiving information relating to wear of computer nodes. Based on the information relating to the wear, the technique includes ranking the computer nodes according to respective expected remaining lifetimes of the computer nodes. The technique includes, responsive to an event that corresponds to at least one of a spare computer node being added to the system or a given computer node being removed from the system, reconfiguring the system based on the ranking.