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Sharding supercharges L2 scaling efforts by increasing the blockspace available for data availability and settlement. Fourth, ETH priority fees that currently go to miners will instead go to a validator-controlled address on the execution layer.

This means the ETH is immediately liquid. Given that full withdrawals of staked ETH will only go live in the Shanghai upgrade later next year, this is a significant improvement for validators with locked-up capital. Finally, the upgrade will reduce annual ETH issuance from the current net The first major event laying the foundation for the Merge was Rayonism , a month-long hackathon earlier this year.

More recently, we had the Amphora interop. This week-long event continued to build on the success of Rayonism, but adding the crucial moment of transition from PoW to PoS. Concurrently, there is a long-lived devnet called Pithos. Once this transition is reasonably stable, existing testnets like Goerli can be upgraded to match the spec. Interested community members can follow along with "The Merge Mainnet Readiness Checklist , a comprehensive overview of the remaining tasks.

One of the interesting things about Ethereum post-Merge is that though the chain ends up merged, the clients remain independent. This includes how they are architected, as well the teams that work on them. For validators, this means an abundance of choice. Each execution client can be combined with each consensus client, and vice versa, in every permutation. For fun, I put together a list of possible names for these combo clients here.

Independent execution and consensus layers also allow for uncoupled upgrade processes when needed. This nicely slots into the Ethereum philosophy of separation of concerns. In other words, several smaller changes are usually more manageable than one monolithic one. However, the Shanghai upgrade will couple changes to both layers in order to make validator withdrawals possible.

This allows validators to exit their ETH from the consensus to the execution layer, binding them together even more closely. Once the ETH is exited from the Beacon Chain, then it can be used just how people use it today: as a store of value, to pay for NFTs, or pay transaction fees.

There are many other proposals being considered for the execution layer, but nothing has been formally accepted into Shanghai. While the above is being specified, implemented, and tested, there are other parallel research efforts pushing Ethereum forward. After the switch to Proof of Stake, sharding is probably the most significant upcoming change to Ethereum.

Note that current proposals are focused on data sharding, and not execution. Rollups today currently use Ethereum for this type of settlement operation. Foundational research for this type of sharding is less complex, meaning it can get to mainnet and supercharge L2s even faster. Prioritizing data availability is in line with where scalability research and applications have already been moving over the past 18 months.

This is a nice example of epistemic flexibility in the wild! This area of research will reform how the protocol handles state. State refers to all user records, including contracts, tokens, NFTs, and addresses. In Ethereum today, users incur a one-time cost per transaction to remain in the state indefinitely. Long term, this is not sustainable. Several proposals with different tradeoffs have been explored over the years, including things like state rent and ReGenesis.

Specifically, only block proposers would be required to store state, while all other nodes can verify blocks statelessly. Witnesses are proofs that are sent alongside a transaction to prove that it is valid. Block Producers: No change, still need all state. Uses witnesses from users to craft blocks that contain valid state changes. If a user wants to reactivate their state, any sent transaction needs to be accompanied by a witness. One benefit of limiting the active state size is that nodes should be more manageable to sync and maintain.

Both of these concepts are being actively researched, benchmarked, and implemented with Proof of Concepts. Dive deeper into current progress:. Link roundup from Guillame Ballet. Or, you can dive into the long-form EthResearch forum. Trent Van Epps works on core protocol projects at the Ethereum Foundation EF , with a focus on bridging between stakeholder groups.

He is also part of Stateful Works , which creates crypto culture in support of Public Goods. Go Bankless. Aave is a decentralised, open source and non-custodial liquidity protocol enabling users to earn interest on deposits and borrow assets. Aave Protocol is unique in that it tokenizes deposits as aTokens , which accrue interest in real time.

The Aave Protocol V2 makes the DeFi experience more seamless with features that allow you to swap your assets for the best yields on the market, and more. Check it out here. Want to get featured on Bankless? Send your article to submissions banklesshq. Write for Bankless. Not financial or tax advice. This newsletter is strictly educational and is not investment advice or a solicitation to buy or sell any assets or to make any financial decisions.

This newsletter is not tax advice. Talk to your accountant. Do your own research. From time-to-time I may add links in this newsletter to products I use. However there are many methods by which we can store the archives in a decentralized way. Some of them are listed here:. Pruning historical chain segments breaks a few important invariants within the Ethereum ecosystem:.

Simulation and Emulation group produces data for making projections, benchmarks, and parameter calibrations for other groups. The working group is tasked with developing three setups: A simulation framework that, when a dataset is entered, produces an output to estimate properties of proposed changes such as uncle rate reduction and gas limit increases. Currently Wittgenstein is suggested.

Simulation handles models of the software agents in our case Ethereum client software instances , coarse enough to be performant, and fine enough to capture the important facets of the agents. Emulation handles the actual software agents in our case the actual implementations of Ethereum like geth and parity , placed into the virtual environments with lots of freedom to change parameters of virtual machines and the network connecting them.

Developers are in the process of collecting datasets for simulation and finalizing parameters for simulation one of which might be uncle rate. Datasets are being collected here from various sources like WhiteBlock , Etherscan etc. Simulation Proposal. Table of contents Summary Pre-History of Ethereum 1. Performance degradation mostly due to the large and increasing state size. Increased storage requirements mostly due to keeping blocks, event logs receipts , and state history currently prunable in major clients.

Pre-History of Ethereum 1. Main Objectives Develop, formalize, and implement set of measures, deployable on the Ethereum 1. That mainly means curbing the state growth or limiting the state size. This is one of the places where eWASM engine comes in.

Current computational pre-compiles are seen as features requiring case-by-case work. Later it would enable any contracts written in eWASM, obviating the need for pre-compiles altogether. Working groups State rent now called as state fees because it might not be just rent eWASM Storage pruning Simulation and Emulation State Rent Proposal framework Since State rent is a potentially higher impact change and therefore more controversial, possibly unpopular than any other changes within Ethereum 1.

Reasoning questions Why is state a valuable resource and to whom? What parameters control inputs do we use? Linear cross-contract storage could be a solution here How can we clear the state of abandoned contracts that are not being used anymore? Bad Idea, Users forget about some application they are involved in all the time Moving portions of the smart contracts data off chain? A subprotocol is needed for the delivery "Say you have a smart contract now and it uses storage so it has to pay rent.

How is this different from stateless contracts? Is this the best solution? Current proposals There are currently three proposals being worked upon: Introduce rent on all accounts contracts and non-contracts , existing and newly created ones, with the ability to restore evicted contracts. Denomination of the extra state expansion charge or rent - should it be priced in gas, ETH, and how should be the price be determined feedback loop on the state size?

Will volatility of ETH price affect those charges too much? Will miners help users evade charges? Classes of contracts and impacts Part of the state rent research is to identify main classes of contracts that are likely to be affected by the changes in the protocol, and provide guidelines on what they can do about it. Wasm bytecode gets pre-processed. An extra register is added to serve as a gas counter.

It gets incremented at certain points jumps, calls and out-of-gas check is performed. Pro: generic. Con: performance overhead. Automatic upper bound estimation. Static analysis is performed on the bytecode, and, for some subset of codes, upper bound of executed instructions virtual gas can be calculated.

Pro: no performance overhead. Con: only subset of codes Current approach for the 1st phase pre-compiles is upper-bound based. Memory allocation Wasm semantics dictates that its execution has a linear memory only one in the current version of the spec that can be grown on demand. The questions to be answered are: What do we absolutely need to keep to comply with the Ethereum protocol?

Do we always need to keep all the blocks? Do we need to always download the entire header chain or can we compress it with STARK proofs for example? Can we improve snapshot sync procedures fast sync, warp sync so that they prevent invalid state transitions with Validity Proofs, for example? This mechanism has two issues however: To keep sync fast, we constantly have to update the hard coded snapshots or the config file.

This works for mainnet with an active maintenance schedule, but does not scale for private Ethereum networks. If no release is made, sync currently takes longer.

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