skip to main content
10.1145/2616498.2616550acmotherconferencesArticle/Chapter ViewAbstractPublication PagesxsedeConference Proceedingsconference-collections
research-article

Descriptive Data Analysis of File Transfer Data

Authors Info & Claims
Published:13 July 2014Publication History

ABSTRACT

There are millions of files and multi-terabytes of data transferred to and from the University of Tennessee's National Institute for Computational Sciences each month. New capabilities available with GridFTP version 5.2.2 include additional transfer log information previously unavailable in prior versions implemented within XSEDE. The transfer log data now available includes identification of source and destination endpoints which unlocks a wealth of information that can be used to detail GridFTP activities across the Internet. This information can be used for a wide variety of reports of interest to individual XSEDE Service Providers and to XSEDE Operations. In this paper, we discuss the new capabilities available for transfer logs in GridFTP 5.2.2, our initial attempt to organize, analyze, and report on this file transfer data for NICS, and its applicability to XSEDE Service Providers. Analysis of this new information can provide insight into effective and efficient utilization of GridFTP resources including identification of potential areas of GridFTP file transfer improvement (e.g., network and server tuning) and potential predictive analysis to improve efficiency.

References

  1. Extreme Science and Engineering Discovery Environment (XSEDE). https://www.xsede.org/, 2011.Google ScholarGoogle Scholar
  2. I. Foster. Globus toolkit version 4: Software for service-oriented systems. In Network and parallel computing, pages 2--13. Springer, 2005. Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. R Core Team. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, 2013.Google ScholarGoogle Scholar

Index Terms

  1. Descriptive Data Analysis of File Transfer Data

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      XSEDE '14: Proceedings of the 2014 Annual Conference on Extreme Science and Engineering Discovery Environment
      July 2014
      445 pages
      ISBN:9781450328937
      DOI:10.1145/2616498
      • General Chair:
      • Scott Lathrop,
      • Program Chair:
      • Jay Alameda

      Copyright © 2014 ACM

      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 13 July 2014

      Permissions

      Request permissions about this article.

      Request Permissions

      Check for updates

      Qualifiers

      • research-article
      • Research
      • Refereed limited

      Acceptance Rates

      XSEDE '14 Paper Acceptance Rate80of120submissions,67%Overall Acceptance Rate129of190submissions,68%
    • Article Metrics

      • Downloads (Last 12 months)4
      • Downloads (Last 6 weeks)1

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader