VXR-Thesis provides an empirical methodology to investigate zero-copy data transfer and custom memory allocation models. By measuring memory spikes and execution latency down to the microsecond, this project establishes a verifiable baseline for ultra-low latency Wasm workloads.
Technical Scope of Release v0.1.0:
• C++ Wasm Kernel: Foundational sandbox environment with initial bindings for memory management.
• Go Orchestrator: Edge-optimized runtime for managing concurrent execution requests and telemetry collection.
• Empirical Analysis: Automated Python benchmarking pipeline for parsing raw execution logs into structured datasets.
The baseline architecture and the accompanying technical paper are now available for review.
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