• Login
    View Item 
    •   MINDS@UW Home
    • MINDS@UW Madison
    • College of Letters and Science, University of Wisconsin–Madison
    • Department of Computer Sciences, UW-Madison
    • CS Technical Reports
    • View Item
    •   MINDS@UW Home
    • MINDS@UW Madison
    • College of Letters and Science, University of Wisconsin–Madison
    • Department of Computer Sciences, UW-Madison
    • CS Technical Reports
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Internet Multi-Resolution Analysis: A Vision and Framework in Support of Representing, Analyzing and Visualizing Internet Measurements

    Thumbnail
    File(s)
    TR1646.pdf (232.8Kb)
    Date
    2008
    Author
    Barford, Paul
    Partridge, Craig
    Williinger, Walter
    Publisher
    University of Wisconsin-Madison Department of Computer Sciences
    Metadata
    Show full item record
    Abstract
    Empirical analysis has been the foundation for a great deal of network research and has resulted in significant improvements to Internet systems, protocols and practices. Recent progress applying a constantly expanding set of increasingly more sophisticated statistical tools suggests the emergence of a new type of empirical network research that could benefit from a more principled approach for representing, analyzing, and visualizing a wide variety of Internet-related measurements. To this end, we propose and introduce in this position paper the concept of an Internet-centric multi-resolution analysis (MRA). Internet MRA is a structured approach to Internet data representation and establishes a framework for systematically applying statistical analysis, signal processing or machine learning techniques to provide critical insights into a number of challenging network research problems. Ultimately, the success of Internet MRA will be gauged by its ability to solve important problems in network research and operations and in the new lines of inquiry that it enables.
    Permanent Link
    http://digital.library.wisc.edu/1793/60656
    Type
    Technical Report
    Citation
    TR1646
    Part of
    • CS Technical Reports

    Contact Us | Send Feedback
     

     

    Browse

    All of MINDS@UWCommunities & CollectionsBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

    My Account

    Login

    Contact Us | Send Feedback