Thanks for sending this proposal! I look forward to having a great
discussion around this.

- Eric

On Thursday, June 1, 2017, Olaoluwa Osuntokun via bitcoin-dev <
bitcoin-dev@lists.linuxfoundation.org> wrote:

> 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
>
>