Comparative Analysis of Transaction Speed and Throughput in Blockchain and Hashgraph: A Performance Study for Distributed Ledger Technologies

Dinesh Kumar K, Duraimutharasan N, Shanthi HJ, Vennila G, Prabu Shankar B, Senthil P
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Abstract

Blockchain technology garners significant attention and recognition due to several key advantages it offers. Trust, reliability, speed, and transparency are among the prominent benefits that contribute to its growing prominence. The decentralized nature of blockchain allows for a high level of trust as transactions are recorded and verified by multiple participants across the network. This, in turn, enhances reliability as there is no single point of failure. Speed is also a notable advantage, particularly when compared to traditional systems that involve intermediaries and complex processes for verification. Blockchain enables faster and more efficient transaction processing, reducing delays and costs. This research paper aims to provide a comprehensive comparative analysis of two prominent distributed ledger technologies, namely blockchain and hashgraph. Both blockchain and hashgraph offer decentralized and secure systems for recording and validating transactions or information. It explores the underlying mechanisms, consensus algorithms, advantages, and limitations of these technologies. It also examines their potential applications and discusses the implications of their respective design choices. By understanding the nuances of blockchain and hashgraph, seeks to contribute to the ongoing discourse on distributed ledger technologies and aids in decision-making for their appropriate adoption in various domains and applications.
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区块链和哈希图中交易速度和吞吐量的比较分析:分布式账本技术的性能研究
区块链技术由于其提供的几个关键优势而获得了极大的关注和认可。信任、可靠性、速度和透明度是其日益突出的优势之一。区块链的分散性允许高度信任,因为交易由网络上的多个参与者记录和验证。这反过来又提高了可靠性,因为没有单点故障。速度也是一个显著的优势,特别是与涉及中介和复杂验证过程的传统系统相比。区块链可以实现更快、更有效的交易处理,减少延迟和成本。本研究论文旨在对区块链和哈希图这两种突出的分布式账本技术进行全面的比较分析。区块链和哈希图都提供了分散和安全的系统来记录和验证交易或信息。它探讨了这些技术的潜在机制、共识算法、优势和局限性。它还检查了它们的潜在应用,并讨论了它们各自设计选择的含义。通过理解区块链和哈希图的细微差别,旨在为分布式账本技术的持续讨论做出贡献,并帮助决策在各种领域和应用中适当采用。
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