Vitalik discusses the impact of multi-dimensional gas pricing to improve Ethereum fee standards.

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Vitalik discusses the impact of multi-dimensional gas pricing to improve Ethereum fee standards.

Ethereum co-founder Vitalik Buterin has published a new article titled "Multidimensional gas pricing," explaining the pricing of Gas in multiple dimensions. The following is a summary of the content:

Table of Contents

Ethereum co-founder Vitalik Buterin has published a new article "Multidimensional gas pricing", explaining the pricing of Gas in multiple dimensions. The following is a summary of the content:

- Traditionally, Ethereum uses a single resource measure "gas" to price transactions based on "computational work," covering computation, storage, data bandwidth, and ZK-SNARK proof generation.

- Recent transaction examples show various costs such as base cost, data byte call, storage operations, etc., with fees directly proportional to the total gas used.

- While a single gas system simplifies market operations and cost optimization, it treats different resources as equivalent, potentially allowing unsafe network operations due to incorrect gas limits.

- Multidimensional gas pricing, as seen in EIP-4844, differentiates resource costs, addressing efficiency issues through optimized and actual resource constraints.

- Introducing "blobs" as Rollup-friendly data in blocks allows pricing and limiting data and computational resources separately, significantly reducing the cost of Rollup transactions and slightly increasing block size.

- Stateless clients face challenges in managing storage proofs for Ethereum with minimal local data, and the transition to multidimensional gas pricing is expected to more accurately price storage operations.

- Proposals like EIP-7623 attempt to improve transactions by charging costs based on data or computation, aiming to increase throughput and security.

- The ultimate goal of multidimensional gas pricing is to individually adjust various resource requirements within Ethereum, improving scalability and efficiency, although this complexity may complicate transaction optimization and EVM design.

- Considering the specific technical solutions for proportional sub-call gas limits to maintain compatibility with existing applications, highlighting the trade-offs and potential increase in system complexity required to implement multidimensional gas strategies.