Performance Analysis of Consensus Algorithm in Private Blockchain

Hao, Yue; Li, Yang; Dong, Xinghua; Fang, Li; Chen, Ping

doi:10.1109/ivs.2018.8500557

Cited by 133 publications

(71 citation statements)

References 4 publications

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“…If it is valid, then they will also add the block to their local blockchain. This process is known as 'Consensus', where all or the majority of nodes reache an agreement to add the new block to their blockchain [37,38].…”

Section: New Block To Blockchainmentioning

confidence: 99%

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Simulation Model for Blockchain Systems Using Queuing Theory

Memon

Ahmed

2019

Electronics

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In recent years, blockchains have obtained so much attention from researchers, engineers, and institutions; and the implementation of blockchains has started to revive a large number of applications ranging from e-finance, e-healthcare, smart home, Internet of Things, social security, logistics and so forth. In the literature on blockchains, it is found that most articles focused on their engineering implementation, while little attention has been devoted to the exploration of theoretical aspects of the system; however, the existing work is limited to model the mining process only. In this paper, a queuing theory-based model is proposed for understanding the working and theoretical aspects of the blockchain. We validate our proposed model using the actual statistics of two popular cryptocurrencies, Bitcoin and Ethereum, by running simulations for two months of transactions. The obtained performance measures parameters such as the Number of Transactions per block, Mining Time of Each Block, System Throughput, Memorypool count, Waiting Time in Memorypool, Number of Unconfirmed Transactions in the Whole System, Total Number of Transactions, and Number of Generated Blocks; these values are compared with actual statistics. It was found that the results gained from our proposed model are in good agreement with actual statistics. Although the simulation in this paper presents the modeling of blockchain-based cryptocurrencies only, the proposed model can be used to represent a wide range of blockchain-based systems.

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Section: New Block To Blockchainmentioning

confidence: 99%

“…By putting the limitation on the network in terms of gas usage, it protects against overloading. Also, the Block generation frequency in Ethereum occurs very often [9,38,43]. The gas limit and block generation frequency are discussed in detail later in Section 4.…”

Section: Ethereummentioning

confidence: 99%

Simulation Model for Blockchain Systems Using Queuing Theory

Memon

Ahmed

2019

Electronics

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“…Their result shows that the Hyperledger Fabric consistently outperformed Ethereum in all evaluation metrics such as execution time, latency and throughput. Hao et al, [26] also used Hyperledger Fabric and Ethereum as the underlying blockchain platform, but they were more concerned with the consensus algorithm and the result showed that PBFT is generally better than PoW. Furthermore, Sukhwani et al, [27] designed a model to analysis the performance of PBFT consensus in the case of large peers, but their work still needs more experiments.…”

Section: Related Workmentioning

confidence: 99%

Operating Permissioned Blockchain in Clouds: A Performance Study of Hyperledger Sawtooth

Shi

Zhou

Surbiryala

et al. 2019

2019 18th International Symposium on Parallel and Distributed Computing (ISPDC)

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With ever more IoT (Internet of Things) and big data applications, the emerging blockchain techniques provide fundamental supports to credibly track the transactions of digital assets. Public blockchains, e.g., bitcoin, are often energyconsuming and low efficient. Therefore, an empirical study of operating permissioned blockchains in clouds is urgently needed. In this paper, we study the performance of Sawtooth, a wellknown permissioned blockchain platforms from Hyperledger, in cloud environments. Our results provide insights for blockchain operators to optimize the performance of Sawtooth through adjusting the two configuration parameters, i.e., Scheduler and Maximum Batches Per Block. Our approach can be used to test other blockchain platforms.

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“…Learner delivers learning data to peers configured in the Hyperledger Fabric network to perform identity authentication, registration, and evaluation. When the learner delivers a transaction to update the training data, the block is created by verifying the order and contents of the transaction by executing the chaincode installed in the peer and through the multi-factor authentication of all peers participating in the channel [9]. After the block is created, the learner can manage the portfolio directly by providing the key value and the evaluation data for the evaluation item to pass the completed training data back to the learner, but once the evaluation is completed and the block is generated, the learner It is not possible to directly modify and delete the training data.…”

Section: Proposed Multilateral Authentication System For Personal Pormentioning

confidence: 99%

Design and Implementation of a Personal Portfolio Multilateral Authentication System Based on Hyperledger Fabric

Jeong¹

2019

IJSEIA

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Although the blockchain technology has been developed mainly around bitcoin, it is also being studied for use in various fields. As a result, it is spreading not only to the applications of settlement and transaction utilizing the characteristics of bitcoin (virtual money) but also to the fields not directly related to money. In this paper, we propose a personal portfolio multilateral authentication system that guarantees the reliability and integrity of data by using the features of blockchain technology on a distributed network. The proposed system could be submitted learning data to a peer in a distributed network by a learner. Then, it is verified through an agreement between peers and recorded in a chronologically encrypted ledger. It is a system that provides learners' information in a safe and prompt manner between schools, the school to the certification authority, the school to the company, and the student to the company according to decisions of learners.

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Performance Analysis of Consensus Algorithm in Private Blockchain

Cited by 133 publications

References 4 publications

Simulation Model for Blockchain Systems Using Queuing Theory

Simulation Model for Blockchain Systems Using Queuing Theory

Operating Permissioned Blockchain in Clouds: A Performance Study of Hyperledger Sawtooth

Design and Implementation of a Personal Portfolio Multilateral Authentication System Based on Hyperledger Fabric

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