Zero-Loss Sensor Data Aggregation: A Rust-Based Operating System Core for Concurrent Data Processing

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Author(s): Hong Rui Zhou (The Hong Kong Polytechnic University, Hong Kong), Min Hao Ling (The Hong Kong Polytechnic University, Hong Kong), Tong Yao Li (The Hong Kong Polytechnic University, Hong Kong), Xiang Li (The Hong Kong Polytechnic University, Hong Kong), Yi Ran Wu (The Hong Kong Polytechnic University, Hong Kong)and Cong Wu (Liaoning Technical University, China)
Copyright: 2026
Pages: 34
Source title: Advanced Concurrency, Buffering, and Web-Sync in Sensor Platforms: Zero-Loss Streams
Source Author(s)/Editor(s): Aquil Mirza Mohammed (The Hong Kong Polytechnic University, Hong Kong)
DOI: 10.4018/979-8-2600-1101-0.ch002

Keywords: Computer Science & IT / Data Analysis and Statistics / Engineering Science Reference / Sensor Technologies

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Abstract

This project initially aims to construct a consequent data processing pipeline. It should have the ability to collect readings from multiple simulated sensors, and perform a real-time statistical aggregation. It should also store the results durably, and serves them through a web interface. The system architecture is organized as a Rust workspace with four key components. The sensor_sim works for data generation, os_lib for buffer management, gateway for the main entry point, and dashboard for the web presentation. The core innovation in this project is the synchronization implementation. A lock-free, non-copy circular buffer is used, and enables the zero-blocking data transfer between the producer and consumer threads.

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Zero-Loss Sensor Data Aggregation: A Rust-Based Operating System Core for Concurrent Data Processing

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