Networked RAID in Virtualized Storage Cluster

The patent segments the storage system into independent storage nodes, each capable of autonomous operation. By dividing the RAID functionality across multiple independent nodes rather than requiring centralized coordination, the system eliminates the need for complex distributed locking mechanisms while maintaining data protection through replication across segments.

The patent introduces a metadata service as an intermediary that manages the distributed storage namespace and coordinates operations without requiring direct locking between nodes. This intermediary layer abstracts the complexity of distributed coordination, enabling networked RAID functionality while avoiding the performance overhead of compound I/O operations and distributed locks.

The patent performs preliminary actions by pre-computing and caching parity information locally at each storage node. When write operations occur, the necessary parity data is already available locally, eliminating the need for compound read operations across the network. This preliminary preparation maintains high storage capacity utilization while preserving operation speed.

Each storage node in the patent is designed to be self-sufficient, maintaining local copies of data and parity information needed for its operations. Nodes serve their own I/O requests without requiring coordination with other nodes, eliminating network round-trips for parity computation while still achieving efficient storage capacity utilization through distributed architecture.

The patent introduces a metadata service as an intermediary that manages data consistency without requiring distributed locking. This service provides a centralized namespace management function that coordinates operations across nodes while avoiding the performance penalties of lock-based synchronization, thereby maintaining data consistency without sacrificing productivity.

The patent implements a feedback mechanism where the metadata service continuously monitors and updates the distributed namespace state. This feedback-driven approach ensures data consistency by reacting to actual system state changes rather than preventing them through locking, allowing concurrent operations to proceed without synchronization delays while maintaining consistency through continuous state awareness.