{"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}
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.