Discovering and Visualizing Operations Processes with POD-Discovery and POD-Viz

Ingo Weber, Chao Li, Len Bass, Xiwei Xu, Liming Zhu

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

12 Scopus citations

Abstract

Understanding the behavior of an operations process and capturing it as an abstract process model has been shown to improve dependability significantly [1]. In particular, process context can be used for error detection, diagnosis, and even automated recovery. Creating the process model is an essential step in determining process context and, consequently, improving dependability. This paper describes two systems. The first, POD-Discovery, simplifies the creation of such an abstract process model from operations logs. An activity that previously required many manual steps can now be done largely automatically and in minutes. Using the discovered model, the second system, POD-Viz, provides operators with the ability to visualize the current state of an operations process in near-real-time and to replay a set of events to understand how the process context changed over time. This allows operators to trace the progress of an operations process easily, and helps in analyzing encountered errors.

Original languageEnglish
Title of host publicationProceedings - 2015 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2015
PublisherIEEE Computer Society
Pages537-544
Number of pages8
ISBN (Electronic)9781479986293
DOIs
StatePublished - 14 Sep 2015
Externally publishedYes
Event45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2015 - Rio de Janeiro, Brazil
Duration: 22 Jun 201525 Jun 2015

Publication series

NameProceedings of the International Conference on Dependable Systems and Networks
Volume2015-September

Conference

Conference45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, DSN 2015
Country/TerritoryBrazil
CityRio de Janeiro
Period22/06/1525/06/15

Keywords

  • Cloud Computing
  • Dependability
  • Monitoring
  • Process Modelling
  • System Administration
  • System Operation

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