Accelerating Blockchain Scalability: New Models for Parallel Transaction Execution in the EVM
Fuente:
arXiv
Salvato in:
| Autori principali: | , , , , |
|---|---|
| Natura: | Preprint |
| Pubblicazione: |
2025
|
| Soggetti: | |
| Accesso online: | |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866915223694213120 |
|---|---|
| author | Das, Souradeep Preechakul, Konpat Bäumer, Jonas Patel, Riddhi Li, Jefferson Jinchuan |
| author_facet | Das, Souradeep Preechakul, Konpat Bäumer, Jonas Patel, Riddhi Li, Jefferson Jinchuan |
| contents | As the number of decentralized applications and users on Ethereum grows, the ability of the blockchain to efficiently handle a growing number of transactions becomes increasingly strained. Ethereums current execution model relies heavily on sequential processing, meaning that operations are processed one after the other, which creates significant bottlenecks to future scalability demands. While scalability solutions for Ethereum exist, they inherit the limitations of the EVM, restricting the extent to which they can scale. This paper proposes a novel solution to enable maximally parallelizable executions within Ethereum, built out of three self-sufficient approaches. These approaches include strategies in which Ethereum transaction state accesses could be strategically and efficiently predetermined, and further propose how the incorporation of gas based incentivization mechanisms could enforce a maximally parallelizable network. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_01370 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Accelerating Blockchain Scalability: New Models for Parallel Transaction Execution in the EVM Das, Souradeep Preechakul, Konpat Bäumer, Jonas Patel, Riddhi Li, Jefferson Jinchuan Distributed, Parallel, and Cluster Computing Computational Engineering, Finance, and Science Computer Science and Game Theory As the number of decentralized applications and users on Ethereum grows, the ability of the blockchain to efficiently handle a growing number of transactions becomes increasingly strained. Ethereums current execution model relies heavily on sequential processing, meaning that operations are processed one after the other, which creates significant bottlenecks to future scalability demands. While scalability solutions for Ethereum exist, they inherit the limitations of the EVM, restricting the extent to which they can scale. This paper proposes a novel solution to enable maximally parallelizable executions within Ethereum, built out of three self-sufficient approaches. These approaches include strategies in which Ethereum transaction state accesses could be strategically and efficiently predetermined, and further propose how the incorporation of gas based incentivization mechanisms could enforce a maximally parallelizable network. |
| title | Accelerating Blockchain Scalability: New Models for Parallel Transaction Execution in the EVM |
| topic | Distributed, Parallel, and Cluster Computing Computational Engineering, Finance, and Science Computer Science and Game Theory |
| url | https://arxiv.org/abs/2504.01370 |