{"title":"Performance Analysis of Software with a Variant NoSQL Data Schemes","authors":"D. Ilin, E. Nikulchev","doi":"10.1109/MLSD49919.2020.9247656","DOIUrl":null,"url":null,"abstract":"The popularity of web applications and platforms for collecting big data has set the goal of efficient data storage. NoSQL databases have become widely used for data storage and scaling. However, there are also a number of problems associated with the choice of efficient data storage and data schemes. The solution of these problems requires an understanding of the runtime conditions and possible loading of the system, which relies primarily on dedicated computing resources. The same data storage schemes can show different efficiency while under different critical load conditions or different computing infrastructures. In this paper, we propose a framework and experiment methodology for two NoSQL storage schemes that allow us to evaluate the most preferred option in the design of the developed application. The paper presents an analysis of the efficiency of two database schemas for maintaining a reliable saving of semi-structured data stream with specified characteristics.","PeriodicalId":103344,"journal":{"name":"2020 13th International Conference \"Management of large-scale system development\" (MLSD)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 13th International Conference \"Management of large-scale system development\" (MLSD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MLSD49919.2020.9247656","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
The popularity of web applications and platforms for collecting big data has set the goal of efficient data storage. NoSQL databases have become widely used for data storage and scaling. However, there are also a number of problems associated with the choice of efficient data storage and data schemes. The solution of these problems requires an understanding of the runtime conditions and possible loading of the system, which relies primarily on dedicated computing resources. The same data storage schemes can show different efficiency while under different critical load conditions or different computing infrastructures. In this paper, we propose a framework and experiment methodology for two NoSQL storage schemes that allow us to evaluate the most preferred option in the design of the developed application. The paper presents an analysis of the efficiency of two database schemas for maintaining a reliable saving of semi-structured data stream with specified characteristics.