Intelligent Storage Adapter Automatic Cluster Formation
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Solution Overview
Problem
Current storage systems face challenges in efficiently managing and accessing large amounts of data across multiple devices and networks, particularly in creating and maintaining clusters for storage area networks (SANs) that allow seamless data sharing and caching between servers.
Innovation Solution
The introduction of an intelligent storage adapter (ISA) that operates as a host bus adapter and storage controller, enabling transparent data caching and synchronization between solid-state storage devices (SSDs) and SAN-based storage systems, while automatically creating and managing clusters of ISAs for efficient data access and sharing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual cluster creation and management is performed, then control and customization are improved, but time consumption and operational complexity increase
Solution Approach 1:
The system enables automatic self-registration of storage adapters into clusters through discovery protocols. When a storage adapter joins the network, it automatically discovers existing clusters and registers itself without manual intervention, eliminating the time-consuming manual configuration process while maintaining system control
Solution Approach 2:
The system pre-configures cluster parameters and policies before storage adapters need to join. Cluster templates and registration protocols are prepared in advance, allowing storage adapters to quickly integrate by simply connecting to the pre-established cluster infrastructure rather than requiring manual setup at join time
2Manufacturing precision
If storage adapters are manually configured and added to clusters, then configuration accuracy is improved, but device complexity and operational difficulty increase
Solution Approach 1:
The system implements automatic discovery and registration protocols where storage adapters provide feedback about their capabilities and status to the cluster management system. The system automatically validates configurations and adjusts settings based on received feedback, ensuring configuration accuracy without requiring complex manual procedures
Solution Approach 2:
A cluster management system acts as an intermediary between storage adapters and the network. This intermediary automatically handles configuration validation, parameter adjustment, and registration processes, ensuring accurate configurations while shielding users from the underlying complexity of cluster management operations
3Productivity
If automatic discovery and registration is implemented, then productivity and ease of operation are improved, but system complexity increases
Solution Approach 1:
The automatic discovery and registration process is segmented into distinct modular protocols: discovery phase, validation phase, and registration phase. Each phase handles specific tasks independently, improving productivity through automated workflows while reducing overall system complexity by breaking down the management process into manageable, standardized segments
Data Source
AI summary
Methods and systems for automatically creating a cluster are provided. The method includes discovering at least a first and a second intelligent storage adapter, determining if the first or the second intelligent storage adapter is operating within a cluster, and when neither the first or the second intelligent storage adapter are a part of any cluster, then automatically generating a cluster with a unique identifier and assigning one of the first or the second intelligent storage adapters as a master of the cluster.