Synchronization power of smart contracts
Our recent research on the synchronization power of smart contracts explores the scalability of blockchain networks.
Modern blockchains support a variety of distributed applications beyond cryptocurrencies, including smart contracts, which let users execute arbitrary code in a distributed and decentralized fashion. Regardless of their intended application, blockchain platforms implicitly assume consensus for the correct execution of a smart contract, thus requiring that all transactions are totally ordered. It was only recently shown formally (Guerraoui and others, PODC’19) that consensus is not necessary to prevent double-spending in a cryptocurrency, contrary to common belief. This result suggests that current implementations may be sacrificing efficiency and scalability because they synchronize transactions much more tightly than actually needed.
In recent work, which will be published at ICDCS 2021, we study the synchronization requirements of Ethereum’s ERC20 token contract, one of the most widely adopted smart contacts. Namely, we model a smart-contract token as a concurrent object and analyze its consensus number as a measure of synchronization power. We show that the richer set of methods supported by ERC20 tokens, compared to standard cryptocurrencies, results in strictly stronger synchronization requirements. More surprisingly, the synchronization power of ERC20 tokens depends on the object’s state and can thus be modified by method invocations. To prove this result, we develop a dedicated framework to express how the object’s state affects the needed synchronization level.
Our findings indicate that ERC20 tokens, as well as other token standards, are more powerful and versatile than plain cryptocurrencies, and are subject to dynamic requirements. Developing specific synchronization protocols that exploit these dynamic requirements will pave the way towards more robust and scalable blockchain platforms.
Read more about the synchronization power of token smart contracts.