Every peer in the network have their subjective view of what the memple is. Every node is able to choose like any transaction they want to, to propagate faster or to propagate slower. So you don't really penalize other peers for not following the protocol. I think this is all sort of within the definition of what a gossip protocol is. And there's been a lot of analysis done on gossip style protocols.
In this episode, we are joined by Tomasz Drwięga, a Core Developer at Parity Technologies, to discuss the lifecycle of a transaction on the Ethereum network and how the mempool works.
We will be covering the following topics:
- What a mempool/transaction queue/transaction pool is.
- How a transaction reaches a mempool and what the mempool does with it.
- Looking at what causes the CPU increase and delays in the network.
- What happens when a transaction gets stuck.
- Gossip.
- The security properties of the mempool.
- What a network attack could look like.
Here are some additional links and ressources if you want to dig deeper.