diff options
Diffstat (limited to 'src/policy')
| -rw-r--r-- | src/policy/fees.h | 90 |
1 files changed, 44 insertions, 46 deletions
diff --git a/src/policy/fees.h b/src/policy/fees.h index 8c34bee237..717eabd74b 100644 --- a/src/policy/fees.h +++ b/src/policy/fees.h @@ -22,51 +22,6 @@ class CTxMemPoolEntry; class CTxMemPool; class TxConfirmStats; -/** \class CBlockPolicyEstimator - * The BlockPolicyEstimator is used for estimating the feerate needed - * for a transaction to be included in a block within a certain number of - * blocks. - * - * At a high level the algorithm works by grouping transactions into buckets - * based on having similar feerates and then tracking how long it - * takes transactions in the various buckets to be mined. It operates under - * the assumption that in general transactions of higher feerate will be - * included in blocks before transactions of lower feerate. So for - * example if you wanted to know what feerate you should put on a transaction to - * be included in a block within the next 5 blocks, you would start by looking - * at the bucket with the highest feerate transactions and verifying that a - * sufficiently high percentage of them were confirmed within 5 blocks and - * then you would look at the next highest feerate bucket, and so on, stopping at - * the last bucket to pass the test. The average feerate of transactions in this - * bucket will give you an indication of the lowest feerate you can put on a - * transaction and still have a sufficiently high chance of being confirmed - * within your desired 5 blocks. - * - * Here is a brief description of the implementation: - * When a transaction enters the mempool, we track the height of the block chain - * at entry. All further calculations are conducted only on this set of "seen" - * transactions. Whenever a block comes in, we count the number of transactions - * in each bucket and the total amount of feerate paid in each bucket. Then we - * calculate how many blocks Y it took each transaction to be mined. We convert - * from a number of blocks to a number of periods Y' each encompassing "scale" - * blocks. This is tracked in 3 different data sets each up to a maximum - * number of periods. Within each data set we have an array of counters in each - * feerate bucket and we increment all the counters from Y' up to max periods - * representing that a tx was successfully confirmed in less than or equal to - * that many periods. We want to save a history of this information, so at any - * time we have a counter of the total number of transactions that happened in a - * given feerate bucket and the total number that were confirmed in each of the - * periods or less for any bucket. We save this history by keeping an - * exponentially decaying moving average of each one of these stats. This is - * done for a different decay in each of the 3 data sets to keep relevant data - * from different time horizons. Furthermore we also keep track of the number - * unmined (in mempool or left mempool without being included in a block) - * transactions in each bucket and for how many blocks they have been - * outstanding and use both of these numbers to increase the number of transactions - * we've seen in that feerate bucket when calculating an estimate for any number - * of confirmations below the number of blocks they've been outstanding. - */ - /* Identifier for each of the 3 different TxConfirmStats which will track * history over different time horizons. */ enum class FeeEstimateHorizon { @@ -130,7 +85,50 @@ struct FeeCalculation int returnedTarget = 0; }; -/** +/** \class CBlockPolicyEstimator + * The BlockPolicyEstimator is used for estimating the feerate needed + * for a transaction to be included in a block within a certain number of + * blocks. + * + * At a high level the algorithm works by grouping transactions into buckets + * based on having similar feerates and then tracking how long it + * takes transactions in the various buckets to be mined. It operates under + * the assumption that in general transactions of higher feerate will be + * included in blocks before transactions of lower feerate. So for + * example if you wanted to know what feerate you should put on a transaction to + * be included in a block within the next 5 blocks, you would start by looking + * at the bucket with the highest feerate transactions and verifying that a + * sufficiently high percentage of them were confirmed within 5 blocks and + * then you would look at the next highest feerate bucket, and so on, stopping at + * the last bucket to pass the test. The average feerate of transactions in this + * bucket will give you an indication of the lowest feerate you can put on a + * transaction and still have a sufficiently high chance of being confirmed + * within your desired 5 blocks. + * + * Here is a brief description of the implementation: + * When a transaction enters the mempool, we track the height of the block chain + * at entry. All further calculations are conducted only on this set of "seen" + * transactions. Whenever a block comes in, we count the number of transactions + * in each bucket and the total amount of feerate paid in each bucket. Then we + * calculate how many blocks Y it took each transaction to be mined. We convert + * from a number of blocks to a number of periods Y' each encompassing "scale" + * blocks. This is tracked in 3 different data sets each up to a maximum + * number of periods. Within each data set we have an array of counters in each + * feerate bucket and we increment all the counters from Y' up to max periods + * representing that a tx was successfully confirmed in less than or equal to + * that many periods. We want to save a history of this information, so at any + * time we have a counter of the total number of transactions that happened in a + * given feerate bucket and the total number that were confirmed in each of the + * periods or less for any bucket. We save this history by keeping an + * exponentially decaying moving average of each one of these stats. This is + * done for a different decay in each of the 3 data sets to keep relevant data + * from different time horizons. Furthermore we also keep track of the number + * unmined (in mempool or left mempool without being included in a block) + * transactions in each bucket and for how many blocks they have been + * outstanding and use both of these numbers to increase the number of transactions + * we've seen in that feerate bucket when calculating an estimate for any number + * of confirmations below the number of blocks they've been outstanding. + * * We want to be able to estimate feerates that are needed on tx's to be included in * a certain number of blocks. Every time a block is added to the best chain, this class records * stats on the transactions included in that block |