An Efficient Framework for Optimistic Concurrent Execution of Smart Contracts

Anjana, Parwat Singh; Kumari, Sweta; Peri, Sathya; Rathor, Sachin; Somani, Archit

doi:10.1109/empdp.2019.8671637

Cited by 58 publications

(34 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…To overcome this problem, many blockchains put efforts on improving their performance, e.g., by modifying the system structure and designing new consensus algorithms. These solutions include, but are not limited to, offchain [17]- [20], side-chain [21]- [24], concurrent execution (smart contract) [25]- [27] sharding [28]- [32], and directed acyclic graph (DAG) [33]- [40].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Blockchain Systems: A Systematic Survey

et al. 2020

View full text Add to dashboard Cite

Blockchain has been envisioned to be a disruptive technology with potential for applications in various industries. As more and more different blockchain platforms have emerged, it is essential to assess their performance in different use cases and scenarios. In this paper, we conduct a systematic survey on the blockchain performance evaluation by categorizing all reviewed solutions into two general categories, namely, empirical analysis and analytical modelling. In the empirical analysis, we comparatively review the current empirical blockchain evaluation methodologies, including benchmarking, monitoring, experimental analysis and simulation. In analytical modelling, we investigate the stochastic models applied to performance evaluation of mainstream blockchain consensus algorithms. Through contrasting, comparison and grouping different methods together, we extract important criteria that can be used for selecting the most suitable evaluation technique for optimizing the performance of blockchain systems based on their identified bottlenecks. Finally, we conclude the survey by presenting a list of possible directions for future research.

show abstract

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Blockchain Systems: A Systematic Survey

et al. 2020

View full text Add to dashboard Cite

show abstract

“…In addition, this study proposes decoupling block building from state maintenance in blockchain design and introduce a new blockchain called SBC (State Blockchain) to handle state maintenance including state synchronization and storage. Anjana et al [119] propose using Software Transactional Memory (STM) [120] systems to execute non-conflicting transactions of smart contracts concurrently. There are two types of miners in the represented system include serial miner and concurrent miner, both type of miners have access to the same set of transactions.…”

Section: Dickerson Et Al Present a Technique Based On Transactionalmentioning

confidence: 99%

Security, Performance, and Applications of Smart Contracts: A Systematic Survey

2019

View full text Add to dashboard Cite

Blockchain is the promising technology of recent years, which has attracted remarkable attention in both academic studies and practical industrial applications. The smart contract is a programmable transaction that can perform a sophisticated task, execute automatically, and store on the blockchain. The smart contract is the key component of the blockchain, which has made blockchain a technology beyond the scope of the cryptocurrencies and applicable for a variety of applications such as healthcare, IoT, supply chain, digital identity, business process management, and more. Although in recent years the progress toward improving blockchain technology with the focus on the smart contract has been impressive, there is a lack of reviewing the smart contract topic. This paper systematically reviews the key concepts and proposes the direction of recent studies and developments regarding the smart contract. The research studies are presented in three main categories: 1) security methods and tools; 2) performance improvement approaches; and 3) decentralized applications based on smart contracts.

show abstract

“…To reduce the performance decline caused by excessive SCTs in a single shard, the SCTs after sharding proposal will be preprocessed in the CDO-Module. Existing strategies adopt only a type of concurrency control method to resolve conflicts between SCs but do not consider how to make full use of the SC information resources to further improve the concurrency in their execution [22]. e essence of SC is a reusable, immutable, and automatically executed computer program that runs on the network, which cannot be actively executed.…”

Section: Cdo-modulementioning

confidence: 99%

Efficient Concurrent Execution of Smart Contracts in Blockchain Sharding

Wang

Liu

et al. 2021

Security and Communication Networks

View full text Add to dashboard Cite

Throughput performance is a critical issue in blockchain technology, especially in blockchain sharding systems. Although sharding proposals can improve transaction throughput by parallel processing, the essence of each shard is still a small blockchain. Using serial execution of smart contract transactions, performance has not significantly improved, and there is still room for improvement. A smart contract concurrent execution strategy based on concurrency degree optimization is proposed for performance optimization within a single shard. This strategy is applied to each shard. First, it characterizes the conflicting contract feature information by executing a smart contract, analyzing the factors that affect the concurrent execution of the smart contracts, and clustering the contract transaction. Second, in shards with high transaction frequency, considering the execution time, conflict rate, and available resources of contract transactions, finding a serializable schedule of contract transactions by redundant computation and a Variable Shadow Speculative Concurrency Control (SCC-VS) algorithm for smart contract scheduling is proposed. Finally, experimental results show that the strategy increases the concurrency of smart contract execution by 39% on average and the transaction throughput of the whole system by 21% on average.

show abstract

An Efficient Framework for Optimistic Concurrent Execution of Smart Contracts

Cited by 58 publications

References 14 publications

Performance Evaluation of Blockchain Systems: A Systematic Survey

Performance Evaluation of Blockchain Systems: A Systematic Survey

Security, Performance, and Applications of Smart Contracts: A Systematic Survey

Efficient Concurrent Execution of Smart Contracts in Blockchain Sharding

Contact Info

Product

Resources

About