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Roadmap

0.1.0: High-Performance, Generic RLNC

  • Basic RLNC coding over generic fields

0.1.0: High-Performance, Cryptographically-Secure RLNC

  • Basic RLNC coding and decoding with BLS12-381 scalar symbols
  • Pedersen commitments for chunk authentication & integrity
  • Encoding & decoding optimization
    • Parallel encoding
  • P2P network simulator
  • Docs in mdbook

0.2.0: Extensibility

  • Add regular RLNC over GF(256) with different encoder / decoder (SIMD)
  • Support custom symbol sizes

Other Ideas

  • If all peers in the network have known public keys, can we use that public key to determine the coding vector? What does that give us?

Claude says: Major Benefits:

  • Bandwidth savings from implicit coding vectors
  • Fast GF(256) arithmetic with security guarantees
  • Network coordination capabilities
  • Attribution and accountability

Suitable For:

  • Permissioned networks where public keys are known
  • Applications requiring accountability (financial, audit trails)
  • Bandwidth-constrained environments
  • Performance-critical scenarios where fast GF(256) is essential