Spare Section Allocation in RAID Storage Systems

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Solution Overview

Problem

Existing storage systems face challenges in efficiently provisioning spare sections for RAID groups to ensure complete coverage and optimal reconstruction following device failures, often leading to overprovisioning or insufficient spare capacity, which complicates the distribution of RAID group members across physical devices.

Innovation Solution

A system that configures spare sections by ordering RAID groups based on a weighted collision count to determine the desirability of converting members into spare sections, using a weighted sum of collision counts between groups, and simulates device failures to ensure sufficient coverage using the Edmonds-Karp technique for optimal spare section allocation.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If spare sections are distributed among physical devices to avoid reconstructing all RAID groups to the same device, then reconstruction parallelism and speed are improved, but the complexity of determining the number and placement of spare sections increases

Engineering Contradiction:
Improvereconstruction speedVSAvoidspare section management complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The system employs a feedback mechanism where the controller continuously monitors device failure scenarios and dynamically determines optimal spare section allocation. The controller simulates various failure modes and adjusts spare distribution to ensure adequate coverage while maintaining manageable complexity through automated decision-making based on system state feedback

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The system performs preliminary allocation of spare sections to specific physical devices based on predicted failure scenarios and RAID group distributions. By pre-positioning spare sections on devices that are likely to need them (determined through collision count analysis), the system enables faster reconstruction without requiring complex real-time decisions during actual failure events

Inventive Principle:
Principle #10Preliminary action

2Reliability

If Q spare sections are provided to cover Q failed RAID group members, then complete spare coverage is achieved, but overprovisioning occurs reducing usable RAID groups

Engineering Contradiction:
Improvespare coverage completenessVSAvoidusable RAID groups
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The system applies local quality by allocating spare sections non-uniformly across different physical devices based on their specific roles and the distribution of RAID group members. Instead of providing uniform Q spares, the controller determines precise local allocations (some devices receive 0 spares, others receive 1 or more) based on collision count analysis, achieving complete coverage with minimal total spares

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The system dynamically changes the parameter of spare section quantity allocated to each device based on the RAID configuration and failure scenarios. By adjusting the spare allocation parameters according to calculated collision counts and coverage requirements, the system achieves exact provisioning without overprovisioning, maximizing usable RAID groups while maintaining complete protection

Inventive Principle:
Principle #35Parameter changes

3Reliability

If members of RAID groups are distributed to minimize collisions on the same physical device, then fault isolation is improved, but the complexity of determining optimal distribution increases

Engineering Contradiction:
Improvefault isolationVSAvoiddistribution configuration complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The system performs preliminary distribution of RAID group members across physical devices to minimize collisions before any failures occur. The controller calculates optimal distributions that reduce the likelihood of multiple RAID group members residing on the same device, and configures this distribution in advance, simplifying subsequent failure response

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system employs self-service through automated collision count calculation and distribution optimization. The controller independently analyzes the RAID configuration, computes collision counts for various distribution schemes, and automatically determines the optimal distribution without requiring manual intervention, thereby achieving fault isolation while managing complexity through automation

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS9983931B1Optimizing spare capacity and spare distribution
Publication Date: 2018.05.29 EMC IP HLDG CO LLC
  • US9983931B1 patent drawing
  • US9983931B1 patent drawing
  • US9983931B1 patent drawing

AI summary

Configuring spare sections in a system having a plurality of devices and having a plurality of erasure encoding groups, each of the devices having a plurality of sections and each of the groups having a plurality of members located on the sections of the devices, includes configuring the system to have a plurality of erasure encoding groups with no spare sections, ordering the groups according to desirability of converting members of each of the groups into spare sections, converting members of a subset of the groups into spare sections according to ordering of the groups, and determining if the spare sections for the system provide sufficient coverage for the system in response to failure of each of the devices. The erasure encoding may be a RAID encoding.