Multi-Tenant Big Data Analytics on AWS Cloud Platform

被引：0
|
作者：
Khedekar, Vinay [1 ]
Tian, Yun [1 ]
机构：
[1] Calif State Univ Fullerton, Dept Comp Sci, Fullerton, CA 92634 USA
来源：
2020 10TH ANNUAL COMPUTING AND COMMUNICATION WORKSHOP AND CONFERENCE (CCWC) | 2020年
关键词：
Serverless cloud computing; Multitenancy; Amazon Web Services (AWS); Bigdata;
D O I：
10.1109/ccwc47524.2020.9031133
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
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.
引用
收藏
页码：647 / 653
页数：7
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