以太坊区块链在资源受限设备上的性能基准测试

Suhail Al Marzouqi, Michael Baddeley, Martin Andreoni Lopez
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引用次数: 1

摘要

区块链挑战了围绕数字安全的许多惯例。从本质上讲,区块链支持由对等体而不是单一实体维护的去中心化平台。此外,区块链中的数据是不可变的,并且以安全和加密的方式保存。然而,在资源有限的设备上运行区块链,如消费者PC或低功耗树莓派,而不是专用服务器,由于能源、内存和验证区块链上交易所需的时间的资源限制,要求很高。本文通过对区块链框架Geth进行评估和基准测试来探讨这些限制:Geth是以太坊区块链的终端接口,除了加入实际的区块链之外,还可以创建私有区块链。本文在Geth中使用私有区块链,并对区块链进行基准测试,以突出设备之间的差异(和限制)。具体来说,我们进行了以下观察:(i)与英特尔i9-10885H CPU @ 2.40GHz相比,在树莓派4上验证并将交易添加到区块链所需的时间明显较慢;(ii)与Pi之间的交易相比,pc之间的交易大约高出两个数量级。这些有价值的见解可用于帮助研究人员为分布式系统(如工业物联网部署和无人机群)设计和实施区块链驱动的安全架构。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Benchmarking Performance of Ethereum Blockchain on Resource Constrained Devices
Blockchain has challenged many of the conventions around digital security. In essence, blockchain supports a decentralized platform maintained by peers instead of a single entity. Furthermore, the data in the blockchain is immutable and is being held in a secure and encrypted way. However, running the blockchain on resource-limited devices, such as a consumer PC or a low-power Raspberry Pi as opposed to dedicated servers, is demanding due to the resource limitation in energy, memory, and time taken to validate the transaction on the blockchain. This paper explores these limitations by evaluating and benchmarking the blockchain framework Geth: a terminal interface for the Ethereum blockchain which makes it possible to create a private blockchain in addition to joining the actual blockchain. This article employs a private blockchain within Geth and benchmarks the blockchain to highlight the differences (and limitations) between the devices. Specifically, we make the following observations: (i) the time it takes to validate and add the transaction to the blockchain on a Raspberry Pi 4 is markedly slower compared to an Intel i9-10885H CPU @ 2.40GHz, (ii) the transaction between PCs compared to transactions between Pis is around two orders of magnitude higher. These valuable insights can be used to help researchers in the design and implementation of blockchain-driven security architectures for distributed systems, such as industrial IoT deployments and UAV swarms.
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