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arXiv · 2602.10020

METTLE: Efficient Streaming Erasure Code with Peeling Decodability

Qianru Yu·Tianji Yang·Jingfan Meng·Jun Xu
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Abstract

In this work, we solve a long-standing open problem in coding theory with broad applications in networking and systems: designing an erasure code that simultaneously satisfies three requirements: (1) high coding efficiency, (2) low coding complexity, and (3) being a streaming code (defined as one with low decoding latency). We propose METTLE (Multi-Edge Type with Touch-less Leading Edge), the first erasure code to meet all three requirements. Compared to "streaming RaptorQ" (RaptorQ configured with a small source block size to ensure a low decoding latency), METTLE is only slightly worse in coding efficiency, but 47.7 to 84.6 times faster to decode.

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Qianru Yu, Tianji Yang, Jingfan Meng, Jun Xu. 2026-02-10. METTLE: Efficient Streaming Erasure Code with Peeling Decodability. https://arxiv.org/abs/2602.10020

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