内存数据网格 Apache Ignite 的一致性分析

Andrey Tapekhin, I. Bogomolov, Oleg Velikanov
{"title":"内存数据网格 Apache Ignite 的一致性分析","authors":"Andrey Tapekhin, I. Bogomolov, Oleg Velikanov","doi":"10.1109/IVMEM.2019.00013","DOIUrl":null,"url":null,"abstract":"The requirements for speed and capacity of data storage systems permanently increase. As a result, NoSQL and NewSQL database management systems became more popular nowadays. The CAP theorem implies that for a distributed data storage, one usually has to choose a tradeoff between its availability and consistency. However, the developers of distributed data storages could use these terms not in their original meanings, making the end users misunderstand the limitations of the systems. Moreover, even if the limitations are described in detail in the documentation, the software could have errors. Therefore a need for testing of data storage systems, not only from the performance point of view, but also for consistency and other properties. In this paper we present our results for consistency analysis for Apache Ignite using Jepsen framework.","PeriodicalId":166102,"journal":{"name":"2019 Ivannikov Memorial Workshop (IVMEM)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Analysis of Consistency for In Memory Data Grid Apache Ignite\",\"authors\":\"Andrey Tapekhin, I. Bogomolov, Oleg Velikanov\",\"doi\":\"10.1109/IVMEM.2019.00013\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The requirements for speed and capacity of data storage systems permanently increase. As a result, NoSQL and NewSQL database management systems became more popular nowadays. The CAP theorem implies that for a distributed data storage, one usually has to choose a tradeoff between its availability and consistency. However, the developers of distributed data storages could use these terms not in their original meanings, making the end users misunderstand the limitations of the systems. Moreover, even if the limitations are described in detail in the documentation, the software could have errors. Therefore a need for testing of data storage systems, not only from the performance point of view, but also for consistency and other properties. In this paper we present our results for consistency analysis for Apache Ignite using Jepsen framework.\",\"PeriodicalId\":166102,\"journal\":{\"name\":\"2019 Ivannikov Memorial Workshop (IVMEM)\",\"volume\":\"78 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 Ivannikov Memorial Workshop (IVMEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IVMEM.2019.00013\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 Ivannikov Memorial Workshop (IVMEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IVMEM.2019.00013","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

人们对数据存储系统的速度和容量的要求不断提高。因此,NoSQL 和 NewSQL 数据库管理系统变得越来越流行。CAP 定理意味着,对于分布式数据存储而言,通常必须在可用性和一致性之间做出权衡。然而,分布式数据存储的开发者在使用这些术语时可能会脱离其原本的含义,从而使最终用户误解系统的局限性。此外,即使在文档中详细描述了这些限制,软件也可能存在错误。因此,有必要对数据存储系统进行测试,不仅要从性能角度进行测试,还要对一致性和其他属性进行测试。本文介绍了我们使用 Jepsen 框架对 Apache Ignite 进行一致性分析的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of Consistency for In Memory Data Grid Apache Ignite
The requirements for speed and capacity of data storage systems permanently increase. As a result, NoSQL and NewSQL database management systems became more popular nowadays. The CAP theorem implies that for a distributed data storage, one usually has to choose a tradeoff between its availability and consistency. However, the developers of distributed data storages could use these terms not in their original meanings, making the end users misunderstand the limitations of the systems. Moreover, even if the limitations are described in detail in the documentation, the software could have errors. Therefore a need for testing of data storage systems, not only from the performance point of view, but also for consistency and other properties. In this paper we present our results for consistency analysis for Apache Ignite using Jepsen framework.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信