Revisit Raft Consistency Protocol on Private Blockchain System in High Network Latency

Cao, Ning; Jiang, Dianheng; Liu, Yang; Zhou, Yulan; Du, Hongmei; Qiao, Xueming; Xia, Yingxue; Zhu, Dongjie; Yu, F. Richard; Bi, Wenbin

doi:10.1007/978-3-030-78618-2_47

Cited by 4 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The papers [32,35,37,39] conduct research on blockchain performance optimization to improve throughput or reduce latency. Their focus mainly lies on blockchain itself, such as enhancing the data layer and modifying the consensus mechanism.…”

Section: Comparison Discussionmentioning

confidence: 99%

“…Cao et al [37] addressed the issue of severe performance degradation of the Raft algorithm in private chains when network latency is high and proposed using the Multi-Raft algorithm with multiple leaders instead of the Raft algorithm. Experiments showed that the Multi-Raft algorithm could reduce network traffic in larger-scale networks and improve system scalability and performance.…”

Section: Optimization Solutions For Blockchainmentioning

confidence: 99%

See 1 more Smart Citation

Balanced-DRL: A DQN-Based Job Allocation Algorithm in BaaS

Guo

et al. 2023

Mathematics

View full text Add to dashboard Cite

Blockchain as a Service (BaaS) combines features of cloud computing and blockchain, making blockchain applications more convenient and promising. Although current BaaS platforms have been widely adopted by both industry and academia, concerns arise regarding their performance, especially in job allocation. Existing BaaS job allocation strategies are simple and do not guarantee load balancing due to the dynamic nature and complexity of BaaS job execution. In this paper, we propose a deep reinforcement learning-based algorithm, Balanced-DRL, to learn an optimized allocation strategy in BaaS based on analyzing the execution process of BaaS jobs and a set of job scale characteristics. Following extensive experiments with generated job request workloads, the results show that Balanced-DRL significantly improves BaaS performance, achieving a 5% to 8% increase in job throughput and a 5% to 20% decrease in job latency.

show abstract

Section: Comparison Discussionmentioning

confidence: 99%

Section: Optimization Solutions For Blockchainmentioning

confidence: 99%

Balanced-DRL: A DQN-Based Job Allocation Algorithm in BaaS

Guo

et al. 2023

Mathematics

View full text Add to dashboard Cite

show abstract

“…Cao et al [89] analyzed raft vs. multi-raft for network latency and leader's traffic. It was observed that the traffic generated in raft was greater than multi-raft.…”

Section: Multi-leadermentioning

confidence: 99%

A Survey on Network Optimization Techniques for Blockchain Systems

et al. 2022

View full text Add to dashboard Cite

The increase of the Internet of Things (IoT) calls for secure solutions for industrial applications. The security of IoT can be potentially improved by blockchain. However, blockchain technology suffers scalability issues which hinders integration with IoT. Solutions to blockchain’s scalability issues, such as minimizing the computational complexity of consensus algorithms or blockchain storage requirements, have received attention. However, to realize the full potential of blockchain in IoT, the inefficiencies of its inter-peer communication must also be addressed. For example, blockchain uses a flooding technique to share blocks, resulting in duplicates and inefficient bandwidth usage. Moreover, blockchain peers use a random neighbor selection (RNS) technique to decide on other peers with whom to exchange blockchain data. As a result, the peer-to-peer (P2P) topology formation limits the effective achievable throughput. This paper provides a survey on the state-of-the-art network structures and communication mechanisms used in blockchain and establishes the need for network-based optimization. Additionally, it discusses the blockchain architecture and its layers categorizes existing literature into the layers and provides a survey on the state-of-the-art optimization frameworks, analyzing their effectiveness and ability to scale. Finally, this paper presents recommendations for future work.

show abstract

On the Problem of Developing a Fault-Tolerant High-Loaded Cluster of Support for an Intelligent Transportation System

Gorodnichev

Moseva

2023

2023 Wave Electronics and Its Application in Information and Telecommunication Systems (WECONF)

View full text Add to dashboard Cite

Revisit Raft Consistency Protocol on Private Blockchain System in High Network Latency

Cited by 4 publications

References 8 publications

Balanced-DRL: A DQN-Based Job Allocation Algorithm in BaaS

Balanced-DRL: A DQN-Based Job Allocation Algorithm in BaaS

A Survey on Network Optimization Techniques for Blockchain Systems

On the Problem of Developing a Fault-Tolerant High-Loaded Cluster of Support for an Intelligent Transportation System

Contact Info

Product

Resources

About