Storage Controller Accelerates Big Data Analytics

The patent introduces storage devices with embedded processors as intermediaries between servers and storage media. These intermediate processing units execute search and query algorithms directly at the storage location, eliminating the need for servers to repeatedly access storage over the network for data processing operations. This intermediary layer resolves the contradiction by maintaining data processing capability while removing the network latency bottleneck.

The patent shifts the computation dimension from centralized server processing to distributed storage-device processing. By embedding processors within storage devices and enabling local execution of data access algorithms, the system creates a new dimensional approach where data processing occurs in parallel at multiple storage nodes rather than sequentially through network-accessed servers. This dimensional shift eliminates network latency while preserving processing capability.

The patent makes storage devices multi-functional by equipping them with embedded processors that can execute various search and query algorithms. Instead of requiring separate dedicated hardware for each function, the universal processor architecture within storage devices can perform multiple data processing tasks locally. This universality resolves the contradiction by enabling fast data access through local processing while avoiding the complexity of specialized hardware for each operation.

The patent enables storage devices to serve themselves by executing data access algorithms locally without requiring constant server intervention. The embedded processors allow storage devices to independently perform search, filter, and query operations on their own data, reducing the need for complex external control systems and minimizing network dependency. This self-service capability achieves fast data access while simplifying the overall system architecture.