Peer Storage Data Rate Levelling via Autonomous Striping

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Solution Overview

Problem

Existing multi-device storage systems require host or intermediate resources for data striping, which complicates high-bandwidth data processing and management across multiple storage devices.

Innovation Solution

Implementing a peer-to-peer communication channel among storage devices, where a peer storage device acts as the master data rate leveller to divide and allocate data blocks based on workload, thermal, and endurance states, enabling efficient data striping without relying on host resources.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If data striping is implemented using host or intermediate resources, then high-bandwidth data processing is enabled, but system complexity and resource requirements increase

Engineering Contradiction:
Improvedata processing bandwidthVSAvoidhost interface complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The storage devices autonomously perform data striping operations among themselves without requiring host or intermediate controller resources. Each storage device monitors its own workload state and participates in the striping process independently, enabling high-bandwidth data processing while eliminating the need for complex host-side striping logic and intermediate bridge chips.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The data striping function is extracted from the host system and intermediate controllers, and relocated to the storage devices themselves. This extraction removes the striping burden from the host interface, reducing its complexity while maintaining high data processing bandwidth through peer-to-peer striping operations.

Inventive Principle:
Principle #2Taking out (Extraction)

2Productivity

If a dedicated storage controller or bridge chip is used for data striping, then data distribution is improved, but hardware complexity and cost increase

Engineering Contradiction:
Improvedata distribution efficiencyVSAvoidhardware architecture
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

Storage devices autonomously perform data striping operations among themselves without requiring host or intermediate controller resources. Each storage device monitors its own workload state and participates in the striping process independently, enabling high-bandwidth data processing while eliminating the need for complex host-side striping logic and intermediate bridge chips.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The data striping functionality is merged directly into the storage devices, combining the roles of data storage and data distribution management within the same hardware components. This eliminates the need for separate bridge chips or dedicated striping controllers, simplifying the overall hardware architecture while maintaining efficient data distribution.

Inventive Principle:
Principle #5Merging (Combining)

3Ease of operation

If peer storage devices autonomously perform data striping, then host resource requirements are reduced, but coordination complexity among peers increases

Engineering Contradiction:
Improvehost resource utilizationVSAvoidpeer coordination mechanism
Core Design Contradiction:
Ease of operationVSDevice complexity

Solution Approach 1:

Each storage device continuously monitors its workload state and shares this information with peer devices through the peer communication channel. This feedback mechanism enables autonomous devices to make informed striping decisions, dynamically allocating data blocks to peers with lower workload while maintaining simple host-side operations. The feedback loop resolves coordination complexity through decentralized, state-aware decision-making.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The peer-to-peer striping system dynamically adapts to changing workload conditions by allowing storage devices to adjust their data allocation decisions in real-time based on current peer states. This dynamic behavior enables the system to maintain efficient data distribution and simple host operations even as workload patterns change, as the peer coordination automatically responds to new conditions without host intervention.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS12008251B2Rate levelling among peer data storage devices
Publication Date: 2024.06.11 WESTERN DIGITAL TECHNOLOGIES INC
  • US12008251B2 patent drawing
  • US12008251B2 patent drawing
  • US12008251B2 patent drawing

AI summary

Example storage systems, data storage devices, and methods provide rate levelling among peer storage devices. A master storage device among peer storage devices receives host commands, determines the workload states of the peer storage devices, divides the data units in the host commands into data blocks for data striping, allocates the data blocks among the peer storage devices, and sends the data blocks to the peer storage devices using a peer communication channel.