Ledgerdata Refiner: A Powerful Ledger Data Query Platform for Hyperledger Fabric

Zhou, Ence; Sun, Hexu; Pi, Bingfeng; Sun, Jun; Yamashita, Kazuhiro; Nomura, Yoshihide

doi:10.1109/iotsms48152.2019.8939212

Cited by 30 publications

(29 citation statements)

References 13 publications

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“…erefore, some research studies have been done to propose a ledger data query platform. For instance, a Ledgerdata Refiner, which is a ledger data query platform, was proposed to provide flexible query functions for real applications built on Fabric ledger [37]. According to Figure 5, the offline phase has four steps which are data collection, splitting dataset, training and optimizing models, and model evaluation.…”

Section: Offline Phasementioning

confidence: 99%

Blockchain-Based Digital Twins Collaboration for Smart Pandemic Alerting: Decentralized COVID-19 Pandemic Alerting Use Case

Sahal

Alsamhi

Brown

et al. 2022

Computational Intelligence and Neuroscience

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Emerging technologies such as digital twins, blockchain, Internet of Things (IoT), and Artificial Intelligence (AI) play a vital role in driving the industrial revolution in all domains, including the healthcare sector. As a result of COVID-19 pandemic outbreak, there is a significant need for medical cyber-physical systems to adopt these emerging technologies to combat COVID-19 paramedic crisis. Also, acquiring secure real-time data exchange and analysis across multiple participants is essential to support the efforts against COVID-19. Therefore, we have introduced a blockchain-based collaborative digital twins framework for decentralized epidemic alerting to combat COVID-19 and any future pandemics. The framework has been proposed to bring together the existing advanced technologies (i.e., blockchain, digital twins, and AI) and then provide a solution to decentralize epidemic alerting to combat COVID-19 outbreaks. Also, we have described how the conceptual framework can be applied in the decentralized COVID-19 pandemic alerting use case.

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Section: Offline Phasementioning

confidence: 99%

Blockchain-Based Digital Twins Collaboration for Smart Pandemic Alerting: Decentralized COVID-19 Pandemic Alerting Use Case

Sahal

Alsamhi

Brown

et al. 2022

Computational Intelligence and Neuroscience

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“…A block along with the information within it will be updated to the four types of data storages [26] after the validation phase. First, the block along with its validation information will be added into the Block Store which is stored in a file system and organized like a chain.…”

Section: Commit Phasementioning

confidence: 99%

Performance Improvement by Using Pipelined Execution on Hyperledger Fabric

Zhou¹,

Pi²,

Sun³

et al. 2022

Proceedings of the Annual Hawaii International Conference on System Sciences

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The rapid growth of proofs of concept blockchain applications leads to increasing interest in understanding and improving blockchain performance at scale. However, the lower performance of blockchain restricts its application in some fields. Our work is focused on evaluating and improving the performance of Hyperledger Fabric, which is the most popular blockchain platform for enterprises.In previous works, the major bottleneck incurred in the validation & commit (V&C) module was studied, and many performance issues arising with it were alleviated to some context. The throughput is still only 900 transactions/second in our experiment. In this paper, a comprehensive latency evaluation for the V&C module was first performed. Then, according to the analysis of the evaluation results, a pipelined execution technology was proposed to process multiple blocks in parallel. Additionally, some pipeline acceleration schemes were also proposed to further improve the performance. Our experiments indicated performance improvements of 4.38× for LevelDB and at least 2× for CouchDB. Notably, our optimizations are transparent to blockchain applications and are suitable for integrating into a future version of Fabric.

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“…These two have several pieces of information such as header number, nonce, current-hash, previous-hash, signed transactions data, etc. [7]. The first block on the blockchain is called as genesis block, which holds blockchain information.…”

Section: Blockchainmentioning

confidence: 99%

“…The waiting time of igniting smart-home PES requests before getting any confirmation of PESD is given by Eq. (7).…”

Section: = ×( ( ))mentioning

confidence: 99%

Modeling of Trusted Public Emergency Services for Smart Cities Using Blockchain and IoT-based Cognitive Networks

Bhawana

Kumar

2021

Preprint

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The Internet of Things (IoT) recently gained attention from the last few years due to various smart city applications deployment. The existing literature discusses different public emergency service (PES) aspects from smart-healthcare to smart-home automation. However, less work explores for the smart-fire-brigade system. The PESs require high computation, timely service fulfillment, service transparency, and trust, which are difficult to achieve through a centralized system. In recent years, blockchain technology has gained enormous popularity for immutable data management that ensures transparency, reliability, and data integrity using distributed storage. This paper presents a blockchain based model for secure and trusted public emergency service in IoT-enabled smart cities (BMSTP) to handle the PES requests in real-time fairly. An edge compute server (ECS) is introduced to enhance data processing speed and local data storage. Simultaneously, a queuing theory model is used to process PES requests quickly. The ECS manages an access control list (ACL) for smart-home IoT devices to protect against the illegal placement of any new IoT devices near smart-home to misguiding public emergency service departments (PESDs). Further, a reputation model is designed for PESDs to scale their service quality. We explored the BMSTP for smart-homes placed under different sub-areas of a smart-city. The experiment results show the proposed system model is efficient in scheduling the smart-home PES requests to an appropriate PESD and minimizing the delay to reaching the smart-home location.

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Ledgerdata Refiner: A Powerful Ledger Data Query Platform for Hyperledger Fabric

Cited by 30 publications

References 13 publications

Blockchain-Based Digital Twins Collaboration for Smart Pandemic Alerting: Decentralized COVID-19 Pandemic Alerting Use Case

Blockchain-Based Digital Twins Collaboration for Smart Pandemic Alerting: Decentralized COVID-19 Pandemic Alerting Use Case

Performance Improvement by Using Pipelined Execution on Hyperledger Fabric

Modeling of Trusted Public Emergency Services for Smart Cities Using Blockchain and IoT-based Cognitive Networks

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