[bitcoin-dev] BIP Proposal: Compact Client Side Filtering for Light Clients

Hi y'all, Alex Akselrod and I would like to propose a new light client BIP for consideration: * https://github.com/Roasbeef/bips/blob/master/gcs_light_client.mediawiki This BIP proposal describes a concrete specification (along with a reference implementations[1][2][3]) for the much discussed client-side filtering reversal of BIP-37. The precise details are described in the BIP, but as a summary: we've implemented a new light-client mode that uses client-side filtering based off of Golomb-Rice coded sets. Full-nodes maintain an additional index of the chain, and serve this compact filter (the index) to light clients which request them. Light clients then fetch these filters, query the locally and _maybe_ fetch the block if a relevant item matches. The cool part is that blocks can be fetched from _any_ source, once the light client deems it necessary. Our primary motivation for this work was enabling a light client mode for lnd[4] in order to support a more light-weight back end paving the way for the usage of Lightning on mobile phones and other devices. We've integrated neutrino as a back end for lnd, and will be making the updated code public very soon. One specific area we'd like feedback on is the parameter selection. Unlike BIP-37 which allows clients to dynamically tune their false positive rate, our proposal uses a _fixed_ false-positive. Within the document, it's currently specified as P = 1/2^20. We've done a bit of analysis and optimization attempting to optimize the following sum: filter_download_bandwidth + expected_block_false_positive_bandwidth. Alex has made a JS calculator that allows y'all to explore the affect of tweaking the false positive rate in addition to the following variables: the number of items the wallet is scanning for, the size of the blocks, number of blocks fetched, and the size of the filters themselves. The calculator calculates the expected bandwidth utilization using the CDF of the Geometric Distribution. The calculator can be found here: https://aakselrod.github.io/gcs_calc.html. Alex also has an empirical script he's been running on actual data, and the results seem to match up rather nicely. We we're excited to see that Karl Johan Alm (kallewoof) has done some (rather extensive!) analysis of his own, focusing on a distinct encoding type [5]. I haven't had the time yet to dig into his report yet, but I think I've read enough to extract the key difference in our encodings: his filters use a binomial encoding _directly_ on the filter contents, will we instead create a Golomb-Coded set with the contents being _hashes_ (we use siphash) of the filter items. Using a fixed fp=20, I have some stats detailing the total index size, as well as averages for both mainnet and testnet. For mainnet, using the filter contents as currently described in the BIP (basic + extended), the total size of the index comes out to 6.9GB. The break down is as follows: * total size: 6976047156 * total avg: 14997.220622758816 * total median: 3801 * total max: 79155 * regular size: 3117183743 * regular avg: 6701.372750217131 * regular median: 1734 * regular max: 67533 * extended size: 3858863413 * extended avg: 8295.847872541684 * extended median: 2041 * extended max: 52508 In order to consider the average+median filter sizes in a world worth larger blocks, I also ran the index for testnet: * total size: 2753238530 * total avg: 5918.95736054141 * total median: 60202 * total max: 74983 * regular size: 1165148878 * regular avg: 2504.856172982827 * regular median: 24812 * regular max: 64554 * extended size: 1588089652 * extended avg: 3414.1011875585823 * extended median: 35260 * extended max: 41731 Finally, here are the testnet stats which take into account the increase in the maximum filter size due to segwit's block-size increase. The max filter sizes are a bit larger due to some of the habitual blocks I created last year when testing segwit (transactions with 30k inputs, 30k outputs, etc). * total size: 585087597 * total avg: 520.8839608674402 * total median: 20 * total max: 164598 * regular size: 299325029 * regular avg: 266.4790836307566 * regular median: 13 * regular max: 164583 * extended size: 285762568 * extended avg: 254.4048772366836 * extended median: 7 * extended max: 127631 For those that are interested in the raw data, I've uploaded a CSV file of raw data for each block (mainnet + testnet), which can be found here: * mainnet: (14MB): https://www.dropbox.com/s/4yk2u8dj06njbuv/mainnet-gcs-stats.csv?dl=0 * testnet: (25MB): https://www.dropbox.com/s/w7dmmcbocnmjfbo/gcs-stats-testnet.csv?dl=0 We look forward to getting feedback from all of y'all! -- Laolu [1]: https://github.com/lightninglabs/neutrino [2]: https://github.com/Roasbeef/btcd/tree/segwit-cbf [3]: https://github.com/Roasbeef/btcutil/tree/gcs/gcs [4]: https://github.com/lightningnetwork/lnd/ -- Laolu -------------- next part -------------- An HTML attachment was scrubbed... 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