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Rename to 42/LOGOS-REPUTATION-INKINGUT
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---
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slug: 42
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title: 42/LOGOS-REPUTATION
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title: 42/LOGOS-REPUTATION-INKINGUT
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name: Logos Node Reputation
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status: raw
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category: Informational
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tags: logos/reputation
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editor: Mark Evenson <mark.evenson@status.im>
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created: 04-AUG-2022
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revised: <2022-08-16 Tue 07:13>
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contributors:
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- Álvaro Castro-Castilla
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---
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@ -14,7 +16,7 @@ contributors:
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We present Ikingut: an algorithm for purely local computation of peer
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node reputation based on their observed performance of a shared
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computation.
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computation.
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# Background
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@ -59,9 +61,10 @@ Other relevant characteristics of the algorithm are:
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functions.
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- Lightweight. It doesn’t perform long computations nor use a lot of
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memory.
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- Pluggable into Glacier and Snowball [38/LOGOS-CONSENSUS][]. It’s
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designed to fit well with swarm-like consensus algorithms. Moreover,
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it augments the consensus algorithm without altering it.
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- Pluggable into Glacier [38/LOGOS-CONSENSUS-GLACIER][] and
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Snowball. Inkingut is designed to fit well with swarm-like consensus
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algorithms. Moreover, it augments the consensus algorithm without
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altering it.
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- Adaptive. It processes network and behavior changes fast.
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- Dynamic. It introduces new nodes consistently and fairly.
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- It is robust against strategic adversaries. We will see these in more detail below.
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@ -166,9 +169,9 @@ No model constructed. No current tests.
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Copyright and related rights waived via
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[CC0](https://creativecommons.org/publicdomain/zero/1.0/).
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# References
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# Informative References
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## informative
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1. [38/LOGOS-CONSENSUS-GLACIER](https://github.com/vacp2p/rfc/pull/512)
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2. [Rocket, Team, Maofan Yin, Kevin Sekniqi, Robbert van Renesse, and Emin Gün Sirer. “Scalable and Probabilistic Leaderless BFT Consensus through Metastability.” arXiv, August 24, 2020.](https://https://doi.org/10.48550/arXiv.1906.08936)
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#. [38/LOGOS-CONSENSUS](https://github.com/vacp2p/rfc/pull/512)
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#. [Rocket, Team, Maofan Yin, Kevin Sekniqi, Robbert van Renesse, and Emin Gün Sirer. “Scalable and Probabilistic Leaderless BFT Consensus through Metastability.” arXiv, August 24, 2020.](https://https://doi.org/10.48550/arXiv.1906.08936) TODO: add IPFS
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