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Experimental dataset for the Performance Evaluation for Geographically Distributed Blockchain-based Services in a Cloud Computing Environment

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Mendeley Data2024-03-27 更新2024-06-27 收录
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https://ieee-dataport.org/documents/experimental-dataset-performance-evaluation-geographically-distributed-blockchain-based
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This dataset is an experimental result of the paper “Performance Evaluation for Geographically Distributed Blockchain-based Services in a Cloud Computing Environment”. The Geographically Distributed Cloud Performance Evaluation Ambassador (GDCPEA) is deployed on each Go Ethereum (Geth) node to measure the elapsed time from the start to the end of the Geth main operations. When GDCPEA requests the GDCPE Log Server in the same region to record a log, the GDCPE Log Server records a timestamp log including the timestamp when the request was received, the name of the Geth node that sent the request, the name of the Geth operation to be measured, and so on. We conducted this experiment in AWS cloud computing services and deployed GDCPEA and GDCPE Log Server in up to three AWS regions (Seoul, Ohio, Singapore) depending on the purpose of the experiment. This dataset contains timestamp logs from each GDCPE Log Server, block and transaction information from the blockchain network, and resource usage data from each AWS EC2 instance. We attached the results of analyzing the performance changes when the number of nodes and clients of the blockchain network increases using these data to our paper.

本数据集为论文《云计算环境下地理分布式区块链服务性能评估(Performance Evaluation for Geographically Distributed Blockchain-based Services in a Cloud Computing Environment)》的实验成果。地理分布式云性能评估大使(Geographically Distributed Cloud Performance Evaluation Ambassador,GDCPEA)部署于每个Go以太坊(Go Ethereum,简称Geth)节点,用于计量Geth核心操作从启动至结束的耗时。当GDCPEA向同区域的GDCPE日志服务器发起日志记录请求时,该日志服务器将记录包含请求接收时间戳、发起请求的Geth节点名称、待测量的Geth操作名称等信息的时间戳日志。本实验依托亚马逊云科技(AWS)云计算服务开展,并根据实验目的,将GDCPEA与GDCPE日志服务器部署于最多3个AWS区域,分别为首尔、俄亥俄与新加坡。本数据集涵盖各GDCPE日志服务器生成的时间戳日志、区块链网络的区块与交易信息,以及各AWS EC2实例的资源使用数据。我们利用上述数据开展了区块链网络节点与客户端数量增加时的性能变化分析,并将分析结果补充至本论文中。
创建时间:
2023-06-28
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