• Login
    View Item 
    •   DSpace Home
    • SUNY Brockport
    • Events/Conferences
    • 2015 SUNY Undergraduate Research Conference
    • View Item
    •   DSpace Home
    • SUNY Brockport
    • Events/Conferences
    • 2015 SUNY Undergraduate Research Conference
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of DSpaceCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsDepartmentThis CollectionBy Issue DateAuthorsTitlesSubjectsDepartment

    My Account

    LoginRegister

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Distributed Computing Using a Raspberry Pi 2 Cluster

    Thumbnail
    View/Open
    surc/2015/schedule/129/fulltext (1).pdf (24.23Kb)
    Date
    2015-04-10
    Author
    Bauer, Riley
    Metadata
    Show full item record
    Subject
    Raspberry Pi
    Distributed Computing
    Parallel Computing
    Abstract
    The Raspberry Pi is a fully functional computer about the size of a credit card costing between $20 and $35. It and other small, inexpensive computers provide a new opportunity for students and enthusiasts to learn about and work with distributed computing. Large companies such as Google, Amazon, Facebook, and many others use distributed computing to deal with the massive amounts of data that their enterprises generate. Others employ distributed computing for researching problems that are incredibly difficult such as Folding@home from Stanford which simulates the incredibly complex workings of protein folding. By acquiring a number of Raspberry Pis and connecting them via an Ethernet switch and software, a relatively inexpensive cluster can be created which provides a platform for exploration of parallelization and distributed computing. This presentation details the steps taken to create a Raspberry Pi cluster and discusses the advantages and disadvantages of such a system with respect to a more traditional setup involving standard computers in terms of capabilities, performance, cost, etc. Additionally, example applications for the cluster will be examined including implementation details and outcomes.
    URI
    http://hdl.handle.net/1951/72954
    Collections
    • 2015 SUNY Undergraduate Research Conference [409]

    SUNY Digital Repository Support
    DSpace software copyright © 2002-2023  DuraSpace
    Contact Us | Send Feedback
    DSpace Express is a service operated by 
    Atmire NV
     

     


    SUNY Digital Repository Support
    DSpace software copyright © 2002-2023  DuraSpace
    Contact Us | Send Feedback
    DSpace Express is a service operated by 
    Atmire NV