Measuring Throughput and Latency Distributed Ledger Technology: Hyperledger

Herwanto, Riko; Sabita, Hari; Armawan, Fajrin

doi:10.51519/journalita.volume2.isssue1.year2021.page17-31

Cited by 5 publications

(3 citation statements)

References 17 publications

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“…Herwanto, R et al (Herwanto et al, 2021) examined the performance of a Distributed Ledger built using BC technology (SLD-BCT) and reported the findings. A Hyperledger technique was devised after doing a limited infrastructure assessment.…”

Section: Related Workmentioning

confidence: 99%

Distributed hyperledger technology in FinTech with artificial intelligence assisted internet of things platform

Zhou

et al. 2022

Expert Systems

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Artificial intelligence (AI) and distributed hyper ledger technology are both at the height of their hype cycles, which means they have the potential to be disruptive. This raises issues about new technologies' influence on future business structures, particularly in service‐based industries like finance. Even though numerous assumptions in reality point to the complementary use of these two technologies to produce new value creation potentials, there is little contemporary literature and study on the subject. Different perspectives on any of the two technologies mentioned above are insufficient for understanding potential synergies in financial services. Similarly, the internet of things (IoT) assistance for FinTech solutions has risen its significance in the upcoming transaction world. Therefore, this research proposes a distributed hyper ledger technology and AI for IoT‐based FinTech platform (DHLT‐AI‐FTP), which incorporates the benefits of each technology for secured and energy‐efficient financial transactions and communication. The AI technology and distributed hyper ledger technology handle the security part, and the communication part holds the efficient design of IoT implementation. The simulation evaluation of the proposed model ensures the improved security and efficiency of FinTech management and processing for real‐time business scenarios. The experimental analysis shows the significant performance of the proposed DHLT‐AI‐FTP with a better adaptability ratio of 98.56% compared to other existing approaches.

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Section: Related Workmentioning

confidence: 99%

Distributed hyperledger technology in FinTech with artificial intelligence assisted internet of things platform

Zhou

et al. 2022

Expert Systems

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“…In other words, network infrastructure must be sufficient to handle the traffic. Theoretically, throughput will increase as the input load is increased, up to the the maximum network capacity [37]. However, network capacity, apart from physical setup, also depends on the internal logic execution and access control mechanism.…”

Section: Performance Metricsmentioning

confidence: 99%

BlockMeter: An Application Agnostic Performance Measurement Framework For Private Blockchain Platforms

Alom¹,

Ferdous²,

Chowdhury³

2022

Preprint

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Blockchain Technology is an emerging technology with the potential to disrupt a number of application domains. Though blockchain platforms like Bitcoin and Ethereum have seen immense success and acceptability, their nature of being public and anonymous make them unsuitable for many enterprise level use-cases. To address this issue, Linux Foundation has started an open source umbrella initiative, known as the Hyperledger Platforms. Under this initiative, a number of private blockchain platforms have been developed which can be used for different enterprise level applications. However, the scalability and performance of these private blockchains must be examined to understand their suitability for different use-cases. Recent researches and projects on performance benchmarking for private blockchain systems are very specific to use-cases and are generally tied to a blockchain platform. In this article, we present BlockMeter, an application agnostic performance benchmarking framework for private blockchain platforms. This framework can be utilised to measure the key performance matrices of any application deployed on top of an external private blockchain application in real-time. In this article, we present the architecture of the framework and discuss its different implementation aspects. Then, to showcase the applicability of the framework, we use BlockMeter to evaluate the two most widely used Hyperledger platforms, Hyperledger Fabric and Hyperledger Sawtooth, against a number of use-cases.

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“…A smart-contract is known as a chaincode in HF terminology [30]. As mentioned earlier, such a smart-contract is a self-executing autonomous program.…”

Section: Chaincode Ledger and Channelmentioning

confidence: 99%

A Reinforcement-Learning-Based Model for Resilient Load Balancing in Hyperledger Fabric

et al. 2022

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Blockchain with its numerous advantages is often considered a foundational technology with the potential to revolutionize a wide range of application domains, including enterprise applications. These enterprise applications must meet several important criteria, including scalability, performance, and privacy. Enterprise blockchain applications are frequently constructed on private blockchain platforms to satisfy these criteria. Hyperledger Fabric is one of the most popular platforms within this domain. In any privacy blockchain system, including Fabric, every organisation needs to utilise a peer node (or peer nodes) to connect to the blockchain platform. Due to the ever-increasing size of blockchain and the need to support a large user base, the monitoring and the management of different resources of such peer nodes can be crucial for a successful deployment of such blockchain platforms. Unfortunately, little attention has been paid to this issue. In this work, we propose the first-ever solution to this significant problem by proposing an intelligent control system based on reinforcement learning for distributing the resources of Hyperledger Fabric. We present the architecture, discuss the protocol flows, outline the data collection methods, analyse the results and consider the potential applications of the proposed approach.

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Measuring Throughput and Latency Distributed Ledger Technology: Hyperledger

Cited by 5 publications

References 17 publications

Distributed hyperledger technology in FinTech with artificial intelligence assisted internet of things platform

Distributed hyperledger technology in FinTech with artificial intelligence assisted internet of things platform

BlockMeter: An Application Agnostic Performance Measurement Framework For Private Blockchain Platforms

A Reinforcement-Learning-Based Model for Resilient Load Balancing in Hyperledger Fabric

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