Dynamic Peer Work Allocation for Storage Data Rebuild
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Solution Overview
Problem
Multi-device storage systems face bottlenecks in data recovery due to reliance on a storage control plane, leading to inefficiencies as the capacity and scalability of storage devices increase, particularly in peer-to-peer communication scenarios where rebuilding storage devices lack information about other devices' workloads.
Innovation Solution
Implementing a rebuild coordinator within each storage device to identify peer devices, determine work profiles, and order rebuild data units based on aggregate work factors, enabling dynamic work allocation and efficient peer-to-peer data rebuild operations without relying on a central control plane.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If storage devices rely on a storage control plane for data recovery operations, then data rebuild can be coordinated centrally, but bottlenecks occur and scalability deteriorates as the number and capacity of storage devices increase
Solution Approach 1:
The patent segments the centralized storage control plane functionality by distributing rebuild coordination capabilities to individual peer storage devices. Each storage device maintains local metadata and can independently coordinate rebuild operations with its peers, eliminating the single-point bottleneck while maintaining reliable data recovery through distributed consensus and coordination protocols.
2Ease of operation
If a centralized storage controller manages all storage devices in the array, then systematic control is achieved, but communication overhead and processing bottlenecks increase as system scale grows
Solution Approach 1:
The patent extracts the rebuild coordination functionality from the centralized storage control plane and embeds it directly within peer storage devices. This allows storage devices to self-manage rebuild operations using local metadata and peer-to-peer communication, reducing control plane complexity and communication overhead while maintaining systematic control through distributed coordination.
3Adaptability or versatility
If storage devices operate independently without knowledge of peer workloads, then device autonomy is maintained, but rebuild efficiency decreases due to inability to optimize data transfer scheduling
Solution Approach 1:
The patent implements feedback mechanisms where storage devices exchange workload information and operational status with peers through metadata updates and status messages. This enables each device to adapt its rebuild operations based on real-time peer conditions, optimizing data transfer scheduling while maintaining device autonomy through decentralized decision-making based on shared feedback.
Data Source
AI summary
Example peer storage systems, storage devices, and methods provide data rebuild across a peer communication channel using dynamic work allocation. A rebuild coordinator among the peer storage devices identifies peer storage devices including data units for the rebuild operation. The rebuild coordinator determines work profiles for the peer storage devices and uses the work profiles to determine the rebuild queue for the data units. The data is rebuilt according to the rebuild queue using the data units from the peer storage devices.