Capabilities of Raspberry Pi 2 for Big Data and Video Streaming Applications in Data Centres

Nick J. Schot; Paul J.E. Velthuis; Björn Frits Postema

doi:10.1007/978-3-319-31559-1_15

Capabilities of Raspberry Pi 2 for Big Data and Video Streaming Applications in Data Centres

Nick J. Schot
, Paul J.E. Velthuis
, Björn Frits Postema

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

3 Citations (Scopus)

1073 Downloads (Pure)

Abstract

Many new data centres have been built in recent years in order to keep up with the rising demand for server capacity. These data centres require a lot of electrical energy and cooling. Big data and video streaming are two heavily used applications in data centres. This paper experimentally investigates the possibilities and benefits of using cheap, low power and widely supported hardware in the form of a micro data centre with big data and video streaming as its main application area. For this purpose, multiple Raspberry Pi 2 Model B (RPi2)’s have been used in order to build a fully functional distributed Hadoop and video streaming setup that has acceptable performance and extends to new research opportunities. We experimentally validated the new setup to fit in a data centre environment by analysis of its performance, scalability, energy consumption, temperature and manageability. This paper proposes a high concurrency and low power setup in a small 1U form factor with an estimated number of 72 RPi2’s as an interesting alternative to traditional rack servers.

Original language	Undefined
Title of host publication	Proceedings of the 18th International GI/ITG Conference on Measurement, Modelling and Evaluation of Dependable Computer and Communication Systems (MMB & DFT 2016)
Editors	Anne Katharina Ingrid Remke, A.K.I. Remke, Boudewijn R.H.M. Haverkort, B.R.H.M. Haverkort
Place of Publication	Switzerland
Publisher	Springer
Pages	183-198
Number of pages	16
ISBN (Print)	978-3-319-31558-4
DOIs	https://doi.org/10.1007/978-3-319-31559-1_15
Publication status	Published - Apr 2016
Event	18th International GI/ITG Conference on Measurement, Modelling and Evaluation of Dependable Computer and Communication Systems, MMB & DFT 2016 - Münster, Germany Duration: 4 Apr 2016 → 6 Apr 2016

Publication series

Name	Lecture Notes in Computer Science
Publisher	Springer International Publishing
Volume	9629
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	18th International GI/ITG Conference on Measurement, Modelling and Evaluation of Dependable Computer and Communication Systems, MMB & DFT 2016
Period	4/04/16 → 6/04/16
Other	4-6 April 2016

Keywords

EWI-26954
Benchmarking
Big data
Hadoop
Cloud computing
Video streaming
Raspberry Pi 2
METIS-316898
IR-100417
Micro data centre

Access to Document

10.1007/978-3-319-31559-1_15

Cite this

Schot, N. J., Velthuis, P. J. E., & Postema, B. F. (2016). Capabilities of Raspberry Pi 2 for Big Data and Video Streaming Applications in Data Centres. In A. K. I. Remke, A. K. I. Remke, B. R. H. M. Haverkort, & B. R. H. M. Haverkort (Eds.), Proceedings of the 18th International GI/ITG Conference on Measurement, Modelling and Evaluation of Dependable Computer and Communication Systems (MMB & DFT 2016) (pp. 183-198). (Lecture Notes in Computer Science; Vol. 9629). Springer. https://doi.org/10.1007/978-3-319-31559-1_15

Schot, Nick J. ; Velthuis, Paul J.E. ; Postema, Björn Frits. / Capabilities of Raspberry Pi 2 for Big Data and Video Streaming Applications in Data Centres. Proceedings of the 18th International GI/ITG Conference on Measurement, Modelling and Evaluation of Dependable Computer and Communication Systems (MMB & DFT 2016). editor / Anne Katharina Ingrid Remke ; A.K.I. Remke ; Boudewijn R.H.M. Haverkort ; B.R.H.M. Haverkort. Switzerland : Springer, 2016. pp. 183-198 (Lecture Notes in Computer Science).

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abstract = "Many new data centres have been built in recent years in order to keep up with the rising demand for server capacity. These data centres require a lot of electrical energy and cooling. Big data and video streaming are two heavily used applications in data centres. This paper experimentally investigates the possibilities and benefits of using cheap, low power and widely supported hardware in the form of a micro data centre with big data and video streaming as its main application area. For this purpose, multiple Raspberry Pi 2 Model B (RPi2){\textquoteright}s have been used in order to build a fully functional distributed Hadoop and video streaming setup that has acceptable performance and extends to new research opportunities. We experimentally validated the new setup to fit in a data centre environment by analysis of its performance, scalability, energy consumption, temperature and manageability. This paper proposes a high concurrency and low power setup in a small 1U form factor with an estimated number of 72 RPi2{\textquoteright}s as an interesting alternative to traditional rack servers.",

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Schot, NJ, Velthuis, PJE & Postema, BF 2016, Capabilities of Raspberry Pi 2 for Big Data and Video Streaming Applications in Data Centres. in AKI Remke, AKI Remke, BRHM Haverkort & BRHM Haverkort (eds), Proceedings of the 18th International GI/ITG Conference on Measurement, Modelling and Evaluation of Dependable Computer and Communication Systems (MMB & DFT 2016). Lecture Notes in Computer Science, vol. 9629, Springer, Switzerland, pp. 183-198, 18th International GI/ITG Conference on Measurement, Modelling and Evaluation of Dependable Computer and Communication Systems, MMB & DFT 2016, 4/04/16. https://doi.org/10.1007/978-3-319-31559-1_15

Capabilities of Raspberry Pi 2 for Big Data and Video Streaming Applications in Data Centres. / Schot, Nick J.; Velthuis, Paul J.E.; Postema, Björn Frits.
Proceedings of the 18th International GI/ITG Conference on Measurement, Modelling and Evaluation of Dependable Computer and Communication Systems (MMB & DFT 2016). ed. / Anne Katharina Ingrid Remke; A.K.I. Remke; Boudewijn R.H.M. Haverkort; B.R.H.M. Haverkort. Switzerland: Springer, 2016. p. 183-198 (Lecture Notes in Computer Science; Vol. 9629).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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AB - Many new data centres have been built in recent years in order to keep up with the rising demand for server capacity. These data centres require a lot of electrical energy and cooling. Big data and video streaming are two heavily used applications in data centres. This paper experimentally investigates the possibilities and benefits of using cheap, low power and widely supported hardware in the form of a micro data centre with big data and video streaming as its main application area. For this purpose, multiple Raspberry Pi 2 Model B (RPi2)’s have been used in order to build a fully functional distributed Hadoop and video streaming setup that has acceptable performance and extends to new research opportunities. We experimentally validated the new setup to fit in a data centre environment by analysis of its performance, scalability, energy consumption, temperature and manageability. This paper proposes a high concurrency and low power setup in a small 1U form factor with an estimated number of 72 RPi2’s as an interesting alternative to traditional rack servers.

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KW - Micro data centre

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Schot NJ, Velthuis PJE, Postema BF. Capabilities of Raspberry Pi 2 for Big Data and Video Streaming Applications in Data Centres. In Remke AKI, Remke AKI, Haverkort BRHM, Haverkort BRHM, editors, Proceedings of the 18th International GI/ITG Conference on Measurement, Modelling and Evaluation of Dependable Computer and Communication Systems (MMB & DFT 2016). Switzerland: Springer. 2016. p. 183-198. (Lecture Notes in Computer Science). doi: 10.1007/978-3-319-31559-1_15