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 proceedingConference contributionAcademicpeer-review

    2 Citations (Scopus)
    473 Downloads (Pure)


    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 languageUndefined
    Title of host publicationProceedings of the 18th International GI/ITG Conference on Measurement, Modelling and Evaluation of Dependable Computer and Communication Systems (MMB & DFT 2016)
    EditorsAnne Katharina Ingrid Remke, A.K.I. Remke, Boudewijn R.H.M. Haverkort, B.R.H.M. Haverkort
    Place of PublicationSwitzerland
    Number of pages16
    ISBN (Print)978-3-319-31558-4
    Publication statusPublished - Apr 2016

    Publication series

    NameLecture Notes in Computer Science
    PublisherSpringer International Publishing
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349


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

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