Descriptive data analysis of file transfer data

Sudarshan Srinivasan, Victor Hazlewood, Gregory D. Peterson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

There are millions of files and multi-terabytes of data trans-ferred to and from the University of Tennessee's National Institute for Computational Sciences each month. New ca-pabilities available with GridFTP version 5.2.2 include ad-ditional 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 informa-tion that can be used to detail GridFTP activities across the Internet. This information can be used for a wide va-riety 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 applica-bility 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.

Original languageEnglish
Title of host publicationProceedings of the XSEDE 2014 Conference
Subtitle of host publicationEngaging Communities
PublisherAssociation for Computing Machinery
ISBN (Print)9781450328937
DOIs
StatePublished - 2014
Externally publishedYes
Event2014 Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2014 - Atlanta, GA, United States
Duration: Jul 13 2014Jul 18 2014

Publication series

NameACM International Conference Proceeding Series

Conference

Conference2014 Annual Conference on Extreme Science and Engineering Discovery Environment, XSEDE 2014
Country/TerritoryUnited States
CityAtlanta, GA
Period07/13/1407/18/14

Keywords

  • Data analysis
  • Database loading
  • Log transfer

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