Effortless application deployment on cloud computing services

With the dramatic increase of the data in recent years, the cost of data mining as well as data analytics is more and more expensive. Besides, it takes a long time to finish a data mining tasks if there is only computer is used. Thus, the developers have developed a web application to help clients c...

Full description

Saved in:
Bibliographic Details
Main Author: Ngo Le Bao Loc
Other Authors: Ta Nguyen Binh Duong
Format: Final Year Project
Language:English
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/10356/70459
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-70459
record_format dspace
spelling sg-ntu-dr.10356-704592023-03-03T20:30:33Z Effortless application deployment on cloud computing services Ngo Le Bao Loc Ta Nguyen Binh Duong School of Computer Science and Engineering DRNTU::Engineering::Computer science and engineering With the dramatic increase of the data in recent years, the cost of data mining as well as data analytics is more and more expensive. Besides, it takes a long time to finish a data mining tasks if there is only computer is used. Thus, the developers have developed a web application to help clients configure distributed system and perform task automatically. In this project, we will focus on the auto deployment of a distributed system. After an exhaustive research, the application has been created and tested in some environment such as Amazon Web Service, Tensorflow and MNIST. The application is written in Java as the main programming language with the support of Spring Framework an AWS SDK. We show that when using this web application, it reduces remarkably the running time and the complexity of the setup before running. Besides, the clients do not need any resources like high-performance computer to perform this action. Bachelor of Engineering (Computer Science) 2017-04-24T08:55:25Z 2017-04-24T08:55:25Z 2017 Final Year Project (FYP) http://hdl.handle.net/10356/70459 en Nanyang Technological University 48 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Ngo Le Bao Loc
Effortless application deployment on cloud computing services
description With the dramatic increase of the data in recent years, the cost of data mining as well as data analytics is more and more expensive. Besides, it takes a long time to finish a data mining tasks if there is only computer is used. Thus, the developers have developed a web application to help clients configure distributed system and perform task automatically. In this project, we will focus on the auto deployment of a distributed system. After an exhaustive research, the application has been created and tested in some environment such as Amazon Web Service, Tensorflow and MNIST. The application is written in Java as the main programming language with the support of Spring Framework an AWS SDK. We show that when using this web application, it reduces remarkably the running time and the complexity of the setup before running. Besides, the clients do not need any resources like high-performance computer to perform this action.
author2 Ta Nguyen Binh Duong
author_facet Ta Nguyen Binh Duong
Ngo Le Bao Loc
format Final Year Project
author Ngo Le Bao Loc
author_sort Ngo Le Bao Loc
title Effortless application deployment on cloud computing services
title_short Effortless application deployment on cloud computing services
title_full Effortless application deployment on cloud computing services
title_fullStr Effortless application deployment on cloud computing services
title_full_unstemmed Effortless application deployment on cloud computing services
title_sort effortless application deployment on cloud computing services
publishDate 2017
url http://hdl.handle.net/10356/70459
_version_ 1759855601495572480