Cloud Big Data Decision Support System for Machine Learning on AWS

被引：0

作者：

Kaplunovich, Alex ^{[1
]}

Yesha, Yelena ^{[1
]}

机构：

[1] UMBC, Comp Sci Dept, Catonsville, MD 21250 USA

来源：

2017 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2017年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Machine Learning algorithms on large datasets can be executed in the Cloud. Amazon Web Services (AWS) provides over 60 different On-Demand EC2 instances [1]. The instance prices range from $0.0059 (t2.nano) to $14.4 (p2.16xlarge) per hour. We decided to build an automatic recommendation system to choose the best instance for a dataset and a machine learning algorithm to optimize time and money spent. After running multiple algorithms for different Big Data sets on assorted AWS instances and collecting the results in the NoSQL DynamoDB database, we have trained machine learning models to predict time and cost using assorted regression ML methods.

引用

页码：3508 / 3516

页数：9

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