DocumentCode
725394
Title
Tengu: An Experimentation Platform for Big Data Applications
Author
Vanhove, Thomas ; Van Seghbroeck, Gregory ; Wauters, Tim ; De Turck, Filip ; Vermeulen, Brecht ; Demeester, Piet
Author_Institution
Dept. of Inf. Technol., Ghent Univ., Ghent, Belgium
fYear
2015
fDate
June 29 2015-July 2 2015
Firstpage
42
Lastpage
47
Abstract
Big data applications have stringent service requirements for scalability and fault-tolerance and involve high volumes of data, high processing speeds and large varieties of database technologies. In order to test big data management solutions, large experimentation facilities are needed, which are expensive in terms of both resource cost and configuration time. This paper presents Tengu, an experimentation platform for big data applications that can automatically be instantiated on GENI (US federation of test beds) and Fed FIRE (EU federation of test beds)compatible test beds. Tengu allows for automatic deployments of several data processing, storage and cloud technologies, including Hadoop, Storm and Open Stack. The paper discusses the Tengu architecture, the Tengu-as-a-service approach and a demonstration of an automated instantiation of the Tengu experimentation suite on the Virtual Wall, a large-scale Emulab testbed at the Minds research institute in Europe.
Keywords
Big Data; cloud computing; EU federation of test beds; Fed4FIRE compatible test beds; GENI compatible test beds; Hadoop; OpenStack; Storm; Tengu-as-a-service approach; US federation of test beds; big data management solutions; cloud technologies; configuration time; data processing; database technologies; fault-tolerance; iMinds research institute; large-scale Emulab testbed; resource cost; storage technologies; virtual wall; Big data; Computer architecture; Distributed databases; Monitoring; Servers; Software; Storms;
fLanguage
English
Publisher
ieee
Conference_Titel
Distributed Computing Systems Workshops (ICDCSW), 2015 IEEE 35th International Conference on
Conference_Location
Columbus, OH
Type
conf
DOI
10.1109/ICDCSW.2015.19
Filename
7165082
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