Distributed Storage System Data Sharding and Erasure Coding
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Solution Overview
Problem
As data centers manage increasing amounts of complex data, existing distributed storage systems face challenges in efficiently storing and retrieving data across multiple storage nodes, particularly in ensuring data redundancy and availability.
Innovation Solution
The proposed solution involves a distributed storage system architecture that utilizes non-volatile solid state storage units with embedded CPUs and solid state storage controllers. This architecture includes a control plane, compute plane, and storage plane, where authorities manage data distribution and redundancy across multiple storage nodes, using erasure coding and data sharding to ensure data availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is distributed across multiple storage nodes to improve availability and redundancy, then system reliability improves, but device complexity increases
Solution Approach 1:
The patent applies segmentation by dividing data into shards that are distributed across multiple storage nodes. Each storage node holds a portion of the total data, allowing the system to maintain availability even if individual nodes fail. This segmentation approach directly resolves the contradiction by improving reliability through distribution while managing complexity through modular data organization.
Solution Approach 2:
The patent introduces an intermediary data distribution layer that automatically manages data placement and redundancy across storage nodes. This intermediary mechanism handles the complexity of data distribution, enabling improved reliability without requiring users to manually manage the complex distributed architecture.
2Reliability
If erasure coding and data sharding are used to enhance redundancy, then data protection improves, but manufacturing and system setup complexity increases
Solution Approach 1:
The patent implements self-service by enabling the storage system to automatically perform erasure coding and data sharding without manual intervention. The system self-manages data distribution, redundancy calculation, and failure recovery, transforming complex protective measures into automated functions that improve data protection while reducing setup complexity.
Solution Approach 2:
The patent applies parameter changes by dynamically adjusting redundancy levels and data distribution parameters based on system conditions. This allows the system to maintain strong data protection through erasure coding while adapting to different deployment scenarios, reducing the need for complex manual configuration during setup.
Data Source
AI summary
A method is provided. The method include obtaining, from a first system, a set of user requirements associated with one or more storage systems. The method also includes obtaining, from a second system, a set of storage system configurations based on the set of user requirements. The method further includes obtaining, from a third system, a set of costs for the set of storage system configurations. The method further includes generating multimedia content based on the set of storage system configurations, the multimedia content providing information about the set of storage system configurations. The method further includes providing the multimedia content to one or more client devices.