Hadoop as a service for academic purposes
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Publication Details
Author list: Ruckcharti U., Atiratana N., Krathu W., Arpnikanondt C.
Publisher: Hindawi
Publication year: 2017
Volume number: 2017-January
Start page: 81
End page: 87
Number of pages: 7
ISBN: 9781450348959
ISSN: 0146-9428
eISSN: 1745-4557
Languages: English-Great Britain (EN-GB)
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Abstract
The growth of data science education at both graduate and undergraduate levels has increase dramatically. Need for computing platforms that are well-equip with the appropriate tools for students and instructors, and that are readily accessible and flexibly configurable has subsequently become more conspicuous. Using lots of sandboxes that would consume tremendous resources is not an effective solution. This paper propose a solution that design and implement Hadoop as a private online service that could effectively meet the design characteristics of an academic data science computing platform. The propose design emphasise a quick deployment solution based on available resources and technologies. The case study that follow demonstrate and cultivate our approach as a proof of concept for any academic institutions to implement their own services. This paper contains many aspects of service implementation from managing resources to choosing the right Hadoop platform components and solution to accounting for user authentication and authorisation as well as security and network design. ฉ 2017 Association for Computing Machinery.
Keywords
Hadoop
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