Virtual Management Layer for Type-Aware Routing of Multi-Type Data to Compression and Decompression Subsystems

Abstract

A distributed system and method uses a virtual management layer to classify incoming heterogeneous data streams by type, attach association flags to related streams, and route each stream to a selected compression or decompression subsystem executing on available computing devices. The virtual layer allocates tasks using live resource conditions to enable parallel processing across devices and per-type optimization (e.g., statistical, codebook, or neural techniques). Outputs returned from disparate devices are collected and deterministically regrouped using the association flags so related streams are preserved regardless of where processing occurred. The architecture supports both compression and decompression workflows, load-balanced scheduling, and scalable operation across multiple devices, improving throughput while maintaining relationships among multi-type data.

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