Analysis of User-Support Tickets in the Lifetime of the Blue Waters System

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present an analysis of the collection of user support tickets created during nearly nine years of operation of the Blue Waters supercomputer. The analysis is based on information obtained from the Jira ticketing system and its corresponding queues. The paper contains a set of statistics showing, in quantitative form, the distribution of tickets across system areas. It also shows the computed metrics related to management of tickets by our staff. Additionally, we present an analysis, based on Machine Learning and Sentiment Analysis techniques, conducted over the text entered in tickets, targeting detecting trends on users' views and perspectives about the Blue Waters system. This kind of study, which is uncommon in the literature, could provide guidance for operators of future large systems about the expected volume of user support demanded by each system area, and about how to allocate support staff such that users receive the best possible assistance.

Original languageEnglish (US)
Title of host publicationProceedings of HUST 2022
Subtitle of host publication9th International Workshop on HPC User Support Tools, Held in conjunction with SC 2022: The International Conference for High Performance Computing, Networking, Storage and Analysis
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages20-28
Number of pages9
ISBN (Electronic)9781665463492
DOIs
StatePublished - 2022
Event9th IEEE/ACM International Workshop on HPC User Support Tools, HUST 2022 - Dallas, United States
Duration: Nov 13 2021Nov 18 2021

Publication series

NameProceedings of HUST 2022: 9th International Workshop on HPC User Support Tools, Held in conjunction with SC 2022: The International Conference for High Performance Computing, Networking, Storage and Analysis

Conference

Conference9th IEEE/ACM International Workshop on HPC User Support Tools, HUST 2022
Country/TerritoryUnited States
CityDallas
Period11/13/2111/18/21

Keywords

  • helpdesk
  • sentiment analysis
  • service ticket
  • ticketing system
  • user support
  • user ticket

ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

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