{"title":"Multi-Tenant Big Data Analytics on AWS Cloud Platform","authors":"V. Khedekar, Yun Tian","doi":"10.1109/CCWC47524.2020.9031133","DOIUrl":null,"url":null,"abstract":"Big Data analytics is a crucial part of today's internet world and specifically analyzing the data for the multi-tenant systems connected over the internet which produces a huge amount of multi-structured data. This paper describes the multi-tenant data analytics over the serverless cloud platform mainly Amazon Web Service (AWS). We perform big data analytics on the two different types of applications. One produces static data and the other produces real-time dynamic data. Then we analyze the performance of the big data under the constraints of time, data traffic and size of the data.","PeriodicalId":161209,"journal":{"name":"2020 10th Annual Computing and Communication Workshop and Conference (CCWC)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 10th Annual Computing and Communication Workshop and Conference (CCWC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCWC47524.2020.9031133","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Big Data analytics is a crucial part of today's internet world and specifically analyzing the data for the multi-tenant systems connected over the internet which produces a huge amount of multi-structured data. This paper describes the multi-tenant data analytics over the serverless cloud platform mainly Amazon Web Service (AWS). We perform big data analytics on the two different types of applications. One produces static data and the other produces real-time dynamic data. Then we analyze the performance of the big data under the constraints of time, data traffic and size of the data.
大数据分析是当今互联网世界的重要组成部分，特别是分析通过互联网连接的多租户系统的数据，这些系统会产生大量的多结构数据。本文主要介绍了基于Amazon Web Service (AWS)的无服务器云平台上的多租户数据分析。我们对两种不同类型的应用程序执行大数据分析。一个生成静态数据，另一个生成实时动态数据。然后分析了大数据在时间、数据流量和数据规模约束下的性能。
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