Distributed State Partitioning for Storage Systems

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Solution Overview

Problem

Distributed data-storage systems face challenges in managing concurrent and simultaneous processing of commands across multiple nodes, leading to high communications overhead, latency, and single-point failures due to the need for centralized state information management.

Innovation Solution

The system partitions state information into local, shared cached, and continuously consistent categories, allowing each node to manage local state independently while maintaining shared state consistency through distributed protocols, such as distributed storage registers and locks, to reduce overhead and ensure high availability.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If centralized state information management is used in distributed data-storage systems, then coordination of concurrent processing is simplified, but communications overhead and latency increase

Engineering Contradiction:
Improvecoordination of concurrent processingVSAvoidcommunications overhead and latency
Core Design Contradiction:
Ease of operationVSLoss of time

Solution Approach 1:

The patent segments state information into local state information (managed independently by each node) and shared state information (managed collectively). This segmentation allows nodes to operate independently on local state without requiring centralized coordination, thereby reducing communications overhead and latency while maintaining ease of operation for local operations.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces a new dimension of state management by creating a hierarchy with local state at the node level and shared state at the system level. This dimensional change allows concurrent processing to be coordinated through shared state updates rather than continuous centralized communication, reducing time loss while maintaining coordination capability.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

2Ease of operation

If centralized state information management is used in distributed data-storage systems, then command coordination is simplified, but single-point failures occur

Engineering Contradiction:
Improvecommand coordinationVSAvoidsingle-point failures
Core Design Contradiction:
Ease of operationVSReliability

Solution Approach 1:

The patent segments state management authority across multiple nodes through local state information, eliminating the single-point failure vulnerability of centralized management. Each node independently manages its local state, so failure of one node does not cripple the entire system's command coordination capability.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent introduces shared state information as an intermediary mechanism that enables coordinated command execution across distributed nodes without requiring a central authority. This intermediary allows nodes to synchronize their actions through shared state updates while maintaining decentralized operation and avoiding single-point failures.

Inventive Principle:
Principle #24Intermediary (Mediator)

3Reliability

If state information is distributed across multiple nodes, then reliability and availability improve, but maintaining state consistency becomes complex

Engineering Contradiction:
ImproveavailabilityVSAvoidstate consistency management
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments state information into local and shared components, where local state can be managed independently without complex consistency protocols. This segmentation reduces the complexity of maintaining state consistency while preserving high availability through distributed local state management.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent applies local quality by allowing each node to manage its local state information with different consistency requirements than shared state. This differentiation reduces overall system complexity by applying appropriate consistency management only where necessary for shared resources, while local operations proceed with simpler management.

Inventive Principle:
Principle #3Local quality

Data Source

PatentUS8392668B2Distributed-state-information-based distributed computing systems and methods and protocols for managing distributed state information
Publication Date: 2013.03.05 VALTRUS INNOVATIONS LTD
  • US8392668B2 patent drawing
  • US8392668B2 patent drawing
  • US8392668B2 patent drawing

AI summary

Various embodiments of the present invention are directed to distributed data-storage systems that provide non-distributed-data-storage-device-like interfaces to host computers that access the distributed data-storage systems. Distributed data-storage systems generally rely on state information used for execution of commands, received from host computers, by component data-storage systems. Command-executing component data-storage systems may access and modify state information shared among many or all of the component data-storage systems. Embodiment methods of the present invention provide methods for partitioning state information within a distributed data-storage system as well as communications protocols and methods for managing shared state information among the component data-storage systems within a distributed data-storage system. In certain embodiments of the present invention, state information is partitioned into one or more of: (1) local state information that is managed, accessed, and modified separately by each component data storage system; (2) shared state information that is locally cached on component data storage systems for immediate read access, that is periodically refreshed, but that is kept globally consistent among component data storage systems by distributing state-modifying operations; and (3) continuously consistent, shared state information.