Hi Mark and Clara,

Great research, thanks for it!

Few questions out of mind after a first read.

> This approach enables block building to consider Child Pays For Parent (CPFP) constellations.

I think that's a really interesting point, it's likely that such transaction graphs with multiple disjunctive branches become far more regular in the future. One can think about OP_CTV's style
congestion-tree, LN's splicing or chain of coinjoins. If this phenomenon happens, can you expect CSB feerate perf to improve ?

> CSB is more complex and requires more computation

Let's say a malicious miner identifies and connects to its competitors' mempools then starts to broadcast to them hard-to-traverse CPFP constellations. Doing so, this malicious miner would prevent them either from assembling block templates at all or slow down their assemblage computation enough to gain an advantage in fee collection. Following current mempools limits, it would be relevant to know by how much CSB makes that kind of DoS possible/efficient.

> From the point of view of global blockspace demand, if miners generally became DPFA-sensitive,
it could encourage creation of additional transactions for the sole purpose of bumping stuck ancestors.

As ASB's ancestor set and CSB's candidate set, a fee bidder, we'll have to pay the feerate to cover the new transaction fields, high enough to catch up with the already-present feerate set ? Likely more feerate efficient to RBF the first child, though you have to swallow the replacement feerate penalty (default 1 sat/vbyte iirc)

Antoine

Le mar. 25 mai 2021 à 10:34, Murch via bitcoin-dev <bitcoin-dev@lists.linuxfoundation.org> a écrit :
Hi Bitcoin Devs,

We are writing to share with you a suggested improvement to the current
bitcoin core block building algorithm. In short, currently Bitcoin Core
uses a straightforward greedy algorithm which evaluates each
transaction’s effective fee rate in the context of its unconfirmed
ancestors. This overlooks situations in which multiple descendant
transactions could be grouped with their shared ancestors to form a more
attractive transaction set for block inclusion.

For example, if we have 4 transactions A,B,C, and D, with fee rates and
weights as follows

Tx Fee Weight
A    5    1
B   10    1
C   15    1
D   14    1

And dependencies:
• B is a descendant of A
• C is a descendant of B
• D is a descendant of A
The current algorithm will consider {A,B,C} best which has an effective
fee rate of 10. Our suggested algorithm will also consider {A,B,C,D},
which has an effective fee rate of 11.

Experimental data shows that our suggested algorithm did better on more
than 94% of blocks (99% for times of high congestion). We have also
compared the results to CBC and SAT Linear Programming solvers. The LP
solvers did slightly better, at the price of longer running times. Greg
Maxwell has also studied LP solvers in the past, and his results suggest
that better running times are possible.

The full details are given in this document, and we are happy to hear
any comment, critic or suggestion!

Best,
Mark and Clara

Full details:
https://gist.github.com/Xekyo/5cb413fe9f26dbce57abfd344ebbfaf2#file-candidate-set-based-block-building-md

Research Code:
https://github.com/Xekyo/blockbuilding

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