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@@ -56,7 +56,7 @@ _Diagrams adapted from [Ethereum EVM illustrated](https://takenobu-hs.github.io/
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All implementations of the EVM must adhere to the specification described in the Ethereum Yellowpaper.
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Over Ethereum's nine year history, the EVM has undergone several revisions, and there are several implementations of the EVM in various programming languages.
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Over Ethereum's ten year history, the EVM has undergone several revisions, and there are several implementations of the EVM in various programming languages.
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[Ethereum execution clients](/developers/docs/nodes-and-clients/#execution-clients) include an EVM implementation. Additionally, there are multiple standalone implementations, including:
When Jordan sends the money, 1.000252 ETH will be deducted from Jordan's account. Taylor will be credited 1.0000 ETH. The validator receives the tip of 0.000042 ETH. The `base fee` of 0.00021 ETH is burned.
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### Block size {#block-size}
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Each block has a target size of 15 million gas, but the size of blocks will increase or decrease in accordance with network demand, up until the block limit of 30 million gas (2x the target block size). The protocol achieves an equilibrium block size of 15 million on average through the process of _tâtonnement_. This means if the block size is greater than the target block size, the protocol will increase the base fee for the following block. Similarly, the protocol will decrease the base fee if the block size is less than the target block size. The amount by which the base fee is adjusted is proportional to how far the current block size is from the target. [More on blocks](/developers/docs/blocks/).
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Each block has a target size of 15 million gas, but the size of blocks will increase or decrease in accordance with network demand, up until the block limit of 30 million gas (2x the target block size). The protocol achieves an equilibrium block size of 15 million on average through the process of _tâtonnement_. This means if the block size is greater than the target block size, the protocol will increase the base fee for the following block. Similarly, the protocol will decrease the base fee if the block size is less than the target block size. The amount by which the base fee is adjusted is proportional to how far the current block size is from the target.
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[More on blocks](/developers/docs/blocks/)
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### Calculating gas fees in practice {#calculating-fees-in-practice}
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In short, gas fees help keep the Ethereum network secure. By requiring a fee for every computation executed on the network, we prevent bad actors from spamming the network. In order to avoid accidental or hostile infinite loops or other computational wastage in code, each transaction is required to set a limit to how many computational steps of code execution it can use. The fundamental unit of computation is "gas".
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Although a transaction includes a limit, any gas not used in a transaction is returned to the user (i.e.`max fee - (base fee + tip)` is returned).
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Although a transaction includes a limit, any gas not used in a transaction is returned to the user (e.g.,`max fee - (base fee + tip)` is returned).
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_Diagram adapted from [Ethereum EVM illustrated](https://takenobu-hs.github.io/downloads/ethereum_evm_illustrated.pdf)_
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The Ethereum [scalability upgrades](/roadmap/) should ultimately address some of the gas fee issues, which will, in turn, enable the platform to process thousands of transactions per second and scale globally.
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Layer 2 scaling is a primary initiative to greatly improve gas costs, user experience and scalability. [More on layer 2 scaling](/developers/docs/scaling/#layer-2-scaling).
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Layer 2 scaling is a primary initiative to greatly improve gas costs, user experience and scalability.
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[More on layer 2 scaling](/developers/docs/scaling/#layer-2-scaling)
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The two pie charts above show snapshots of the current client diversity for the execution and consensus layers (at time of writing in January 2022). The execution layer is overwhelmingly dominated by [Geth](https://geth.ethereum.org/), with [Open Ethereum](https://openethereum.github.io/) a distant second, [Erigon](https://github.com/ledgerwatch/erigon) third and [Nethermind](https://nethermind.io/) fourth, with other clients comprising less than 1 % of the network. The most commonly used client on the consensus layer - [Prysm](https://prysmaticlabs.com/#projects) - is not as dominant as Geth but still represents over 60% of the network. [Lighthouse](https://lighthouse.sigmaprime.io/) and [Teku](https://consensys.net/knowledge-base/ethereum-2/teku/) make up ~20% and ~14% respectively, and other clients are rarely used.
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The execution layer data were obtained from [Ethernodes](https://ethernodes.org) on 23-Jan-2022. Data for consensus clients was obtained from [Michael Sproul](https://github.com/sigp/blockprint). Consensus client data is more difficult to obtain because the consensus layer clients do not always have unambiguous traces that can be used to identify them. The data was generated using a classification algorithm that sometimes confuses some of the minority clients (see [here](https://twitter.com/sproulM_/status/1440512518242197516) for more details). In the diagram above, these ambiguous classifications are treated with an either/or label (e.g. Nimbus/Teku). Nevertheless, it is clear that the majority of the network is running Prysm. The data is a snapshot over a fixed set of blocks (in this case Beacon blocks in slots 2048001 to 2164916) and Prysm's dominance has sometimes been higher, exceeding 68%. Despite only being snapshots, the values in the diagram provide a good general sense of the current state of client diversity.
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The execution layer data were obtained from [Ethernodes](https://ethernodes.org) on 23-Jan-2022. Data for consensus clients was obtained from [Michael Sproul](https://github.com/sigp/blockprint). Consensus client data is more difficult to obtain because the consensus layer clients do not always have unambiguous traces that can be used to identify them. The data was generated using a classification algorithm that sometimes confuses some of the minority clients (see [here](https://twitter.com/sproulM_/status/1440512518242197516) for more details). In the diagram above, these ambiguous classifications are treated with an either/or label (e.g., Nimbus/Teku). Nevertheless, it is clear that the majority of the network is running Prysm. The data is a snapshot over a fixed set of blocks (in this case Beacon blocks in slots 2048001 to 2164916) and Prysm's dominance has sometimes been higher, exceeding 68%. Despite only being snapshots, the values in the diagram provide a good general sense of the current state of client diversity.
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Up to date client diversity data for the consensus layer is now available at [clientdiversity.org](https://clientdiversity.org/).
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Technical users can help accelerate this process by writing more tutorials and documentation for minority clients and encouraging their node-operating peers to migrate away from the dominant clients. Guides for switching to a minority consensus client are available on [clientdiversity.org](https://clientdiversity.org/).
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Lodestar is a production-ready consensus client implementation written in Typescript under the LGPL-3.0 license. It is maintained by ChainSafe Systems and is the newest of the consensus clients for solo-stakers, developers and researchers. Lodestar consists of a beacon node and validator client powered by JavaScript implementations of Ethereum protocols. Lodestar aims to improve Ethereum usability with light clients, expand accessibility to a larger group of developers and further contribute to ecosystem diversity.
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More information can be found on our[Lodestar website](https://lodestar.chainsafe.io/)
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More information can be found on the[Lodestar website](https://lodestar.chainsafe.io/)
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