Analysis of Fault Tolerance in Permissioned Blockchain Networks

Podgorelec, Blaž; Keršič, Vid; Turkanović, Muhamed

doi:10.1109/icat47117.2019.8938836

Cited by 9 publications

(4 citation statements)

References 20 publications

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“…Also, different blockchain frameworks have varying fault-tolerance capabilities. Podgorelec et al [124] discussed and compared the fault-tolerance capabilities of Hyperledger Fabric and Iroha, which are based on the performance of consensus mechanisms. Fault-tolerance requirements can be implemented during on-chain development included in the common and private agreements.…”

Section: Fault Tolerancementioning

confidence: 99%

Governance of a Blockchain-Enabled IoT Ecosystem: A Variable Geometry Approach

Ullah,

Havinga

2023

Sensors

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The proliferation of Internet of Things (IoT) applications is rapidly expanding, generating increased interest in the incorporation of blockchain technology within the IoT ecosystem. IoT applications enhance the efficiency of our daily lives, and when blockchain is integrated into the IoT ecosystem (commonly referred to as a blockchain-IoT system), it introduces crucial elements, like security, transparency, trust, and privacy, into IoT applications. Notably, potential domains where blockchain can empower IoT applications include smart logistics, smart health, and smart cities. However, a significant obstacle hindering the widespread adoption of blockchain-IoT systems in mainstream applications is the absence of a dedicated governance framework. In the absence of proper regulations and due to the inherently cryptic nature of blockchain technology, it can be exploited for nefarious purposes, such as ransomware, money laundering, fraud, and more. Furthermore, both blockchain and the IoT are relatively new technologies, and the absence of well-defined governance structures can erode confidence in their use. Consequently, to fully harness the potential of integrating blockchain-IoT systems and ensure responsible utilization, governance plays a pivotal role. The implementation of appropriate regulations and standardization is imperative to leverage the innovative features of blockchain-IoT systems and prevent misuse for malicious activities. This research focuses on elucidating the significance of blockchain within governance mechanisms, explores governance tailored to blockchain, and proposes a robust governance framework for the blockchain-enabled IoT ecosystem. Additionally, the practical application of our governance framework is showcased through a case study in the realm of smart logistics. We anticipate that our proposed governance framework will not only facilitate but also promote the integration of blockchain and the IoT in various application domains, fostering a more secure and trustworthy IoT landscape.

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Section: Fault Tolerancementioning

confidence: 99%

Governance of a Blockchain-Enabled IoT Ecosystem: A Variable Geometry Approach

Ullah,

Havinga

2023

Sensors

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“…For faults, we inject failures on broker nodes for Kafka and on orderer nodes for Raft and PBFT. Specifically, we generate node crashes all at once 10 s after transactions begin, as in previous studies [29]. The fault-tolerable ranges of Kafka, Raft, and PBFT are seven, four, and three, respectively (Table 1).…”

Section: ) Fault Node Changesmentioning

confidence: 99%

Resource Analysis of Blockchain Consensus Algorithms in Hyperledger Fabric

Yang

Lee

et al. 2022

IEEE Access

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In the blockchain network, the consensus algorithm is used to tolerate node faults with data consistency and integrity, so it is vital in all blockchain services. Previous studies on the consensus algorithm have the following limitations: 1) no resource consumption analysis was done, 2) performance analysis was not comprehensive in terms of blockchain parameters (e.g., number of orderer nodes, number of fault nodes, batch size, payload size), and 3) practical fault scenarios were not evaluated. In other words, the resource provisioning of consensus algorithms in clouds has not been addressed adequately. As many blockchain services are deployed in the form of blockchain-as-a-service (BaaS), how to provision consensus algorithms becomes a key question to be answered. This study presents a kernel-level analysis for the resource consumption and comprehensive performance evaluations of three major consensus algorithms (i.e., Kafka, Raft, and PBFT). Our experiments reveal that resource consumption differs up to seven times, which demonstrates the importance of proper resource provisioning for BaaS.

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“…To make blockchain networks be more useful and specific to each use case, developers proposed permissioned blockchain network ideas. Permissioned blockchains usually involve a consortium of organizations who are in charge of verifying the transition history instead of asking pseudonymous miners to participate in the mining process [23]. Permissioned blockchains are often popular in the industries that rely on digital data, for example, supply chain management, liquidation in the financial industry, manufacturing industry.…”

Section: Permissioned Blockchain Networkmentioning

confidence: 99%

Blockchain-Empowered Mobile Edge Intelligence, Machine Learning and Secure Data Sharing

Du¹,

Miao²,

Tong³

et al. 2022

Blockchain Potential in AI

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Driven by recent advancements in machine learning, mobile edge computing (MEC) and the Internet of things (IoT), artificial intelligence (AI) has become an emerging technology. Traditional machine learning approaches require the training data to be collected and processed in centralized servers. With the advent of new decentralized machine learning approaches and mobile edge computing, the IoT on-device data training has now become possible. To realize AI at the edge of the network, IoT devices can offload training tasks to MEC servers. However, those distributed frameworks of edge intelligence also introduce some new challenges, such as user privacy and data security. To handle these problems, blockchain has been considered as a promising solution. As a distributed smart ledger, blockchain is renowned for high scalability, privacy-preserving, and decentralization. This technology is also featured with automated script execution and immutable data records in a trusted manner. In recent years, as quantum computers become more and more promising, blockchain is also facing potential threats from quantum algorithms. In this chapter, we provide an overview of the current state-of-the-art in these cutting-edge technologies by summarizing the available literature in the research field of blockchain-based MEC, machine learning, secure data sharing, and basic introduction of post-quantum blockchain. We also discuss the real-world use cases and outline the challenges of blockchain-empowered intelligence.

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Analysis of Fault Tolerance in Permissioned Blockchain Networks

Cited by 9 publications

References 20 publications

Governance of a Blockchain-Enabled IoT Ecosystem: A Variable Geometry Approach

Governance of a Blockchain-Enabled IoT Ecosystem: A Variable Geometry Approach

Resource Analysis of Blockchain Consensus Algorithms in Hyperledger Fabric

Blockchain-Empowered Mobile Edge Intelligence, Machine Learning and Secure Data Sharing

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