FastFabric: Scaling Hyperledger Fabric to 20,000 Transactions per Second

Gorenflo, Christian; Golab, Lukasz; Keshav, Srinivasan

doi:10.48550/arxiv.1901.00910

Cited by 11 publications

(17 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Endorsers, storage nodes, and validators are solely responsible for the transaction execution, block persistence, and transactions validation, respectively. These optimizations enable FastFabric to obtain a speedup of 6 compared to vanilla Fabric, as reported in [16].…”

Section: The Performance Of Fastfabricsharpmentioning

confidence: 96%

“…Next, we analyze the performance of our approach on top of FastFabric [16]. FastFabric separates peers in the same administrative domain into endorser, storage, and validator nodes.…”

Section: The Performance Of Fastfabricsharpmentioning

confidence: 99%

“…The first is to improve upon Fabric's architecture to enhance its attainable throughput [22,27,6,1]. For example, FastFabric proposes to split a node's functionality to alleviate the bottleneck and achieves the highest throughput among all improvements of Fabric [16]. However, these approaches are implementation-specific and might not generalize well to other blockchains.…”

Section: Introductionmentioning

confidence: 99%

“…In contrast, our proposal consists of a novel reordering technique that eliminates unnecessary abort due to in-ledger conflicts, with the serializability guarantee established upon our theoretical insights. Our approach does not change Fabric's architecture, therefore it is orthogonal to the aforementioned optimizations, such as FastFabric [16] and [22,27,6,1].…”

Section: Introductionmentioning

confidence: 99%

“…First, we use Hyperledger Fabric v1.3 as the base and name our implementation FabricSharp (or Fabric# for short). Second, we start from FastFabric [16], which obtains the highest throughput among all optimizations of Fabric, and name our implementation FastFabricSharp (or FastFabric# for short).…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Transactional Perspective on Execute-order-validate Blockchains

Ruan

Loghin

et al. 2020

Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data

View full text Add to dashboard Cite

Smart contracts have enabled blockchain systems to evolve from simple cryptocurrency platforms, such as Bitcoin, to general transactional systems, such as Ethereum. Catering for emerging business requirements, a new architecture called execute-order-validate has been proposed in Hyperledger Fabric to support parallel transactions and improve the blockchain's throughput. However, this new architecture might render many invalid transactions when serializing them. This problem is further exaggerated as the block formation rate is inherently limited due to other factors beside data processing, such as cryptography and consensus. In this work, we propose a novel method to enhance the execute-order-validate architecture, by reducing invalid transactions to improve the throughput of blockchains. Our method is inspired by state-of-the-art optimistic concurrency control techniques in modern database systems. In contrast to existing blockchains that adopt database's preventive approaches which might abort serializable transactions, our method is theoretically more fine-grained. Specifically, unserializable transactions are aborted before ordering and the remaining transactions are guaranteed to be serializable. For evaluation, we implement our method in two blockchains respectively, FabricSharp on top of Hyperledger Fabric, and FastFabricSharp on top of FastFabric. We compare the performance of Fab-ricSharp with vanilla Fabric and three related systems, two of which are respectively implemented with one standard and one state-of-the-art concurrency control techniques from databases. The results demonstrate that FabricSharp achieves 25% higher throughput compared to the other systems in nearly all experimental scenarios. Moreover, the FastFabricSharp's improvement over FastFabric is up to 66%.

show abstract

Section: The Performance Of Fastfabricsharpmentioning

confidence: 96%

“…Next, we analyze the performance of our approach on top of FastFabric [16]. FastFabric separates peers in the same administrative domain into endorser, storage, and validator nodes.…”

Section: The Performance Of Fastfabricsharpmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Transactional Perspective on Execute-order-validate Blockchains

Ruan

Loghin

et al. 2020

Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data

View full text Add to dashboard Cite

show abstract

Artificial Intelligence Blockchain Based Fake News Discrimination

Kim,

Huh,

Kim

2024

IEEE Access

View full text Add to dashboard Cite

This paper minimizes fake news, which has been a hot topic recently, using blockchain and artificial intelligence technology, and verifies it with blockchain. Also, using Artificial Intelligence technology, we want to create an algorithm that predicts how fake news will spread in the future. You can see various attempts at a news media platform based on Blockchain technology. However, the Blockchain news media platform is still not getting the market response we expected. It is questionable whether the reason is simply because it is a new technology, so it takes a long time to gain trust from consumers, whether consumers are not yet expecting an innovative news media platform, or whether the explosive growth of the Blockchain news media platform is difficult for other reasons. Research to answer this or direct research between Blockchain and media platforms is still lacking. In addition, the method of verifying fake news using artificial intelligence was verified, ANN, CBR, and MDA were changed, and the experiment was verified for progress. In addition, the use of 5-fold cross-validation as a comparative method was added as described above to more closely examine the possibility of its usefulness even in general situations. Also, through various fields of artificial intelligence and blockchain, verification work was done with blockchain, and fake news prediction was made using artificial intelligence. Various experiments were conducted and performance tests were performed, while the performance of about 5,000 TTPS was recorded through the third experiment. In the future, we think it is necessary to combine Artificial Intelligence and blockchain technology.

show abstract

Reasonableness discussion and analysis for Hyperledger Fabric configuration

Hua

Zhang

et al. 2020

2020 IEEE International Conference on Blockchain and Cryptocurrency (ICBC)

View full text Add to dashboard Cite

Blockchain, as a distributed ledger technology, becomes more and more popular in both industry and academia. Each peer in blockchain system maintains a copy of ledger and makes sure of data consistency through consensus protocol. Blockchain system can provide many benefits such as immutability, transparency and security. Hyperledger Fabric is permissioned blockchain platform hosted by Linux foundation. Fabric has various components such as peer, ordering service, chaincode and state database. The structure of Fabric network is very complicated to provide reliable permissioned blockchain service. Generally, developers must deal with hundreds of parameters to configure a network. That will cause many reasonableness problems in configurations. In this paper, we focus on how to detect reasonableness problems in Fabric configurations. Firstly, we discuss and provide a reasonableness problem knowledge database based on the perspectives of functionality, security and performance. Secondly, we implemented a detect tool for reasonableness check to Fabric. Finally, we collect 108 sample networks as the testing dataset in the experiment. The result shows our tool can help developers to locate reasonableness problems and understand their network better.

show abstract

FastFabric: Scaling Hyperledger Fabric to 20,000 Transactions per Second

Cited by 11 publications

References 11 publications

A Transactional Perspective on Execute-order-validate Blockchains

A Transactional Perspective on Execute-order-validate Blockchains

Artificial Intelligence Blockchain Based Fake News Discrimination

Reasonableness discussion and analysis for Hyperledger Fabric configuration

Contact Info

Product

Resources

About