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Flight Data Recorder: Always-on Tracing and Scalable Analysis of Persistent State Interactions to Improve Systems and Security Management

Published 2006-11-01 8 authors
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Attribution

This is the abstract and citation. Full text lives at Semantic Scholar — we link out rather than host. All credit to the authors and Semantic Scholar.

Abstract

Verbatim from Semantic Scholar. Not paraphrased, not summarized.

The Flight Data Recorder is presented, it is shown that a single centralized collection machine can potentially scale to collecting and analyzing the complete records of persistent state interactions from 4000+ machines, and the tracing technology is shipping as part of the Windows Vista OS.

Authors

  • Emre Kıcıman
  • B. Daniels
  • Arunvijay Kumar
  • Yi-Min Wang
  • R. Roussev
  • Shan Lu
  • Juhan Lee
  • Chad Verbowski

Keywords

  • Computer Science
  • Engineering

Citation: Emre Kıcıman, B. Daniels, Arunvijay Kumar , et al. (2006). Flight Data Recorder: Always-on Tracing and Scalable Analysis of Persistent State Interactions to Improve Systems and Security Management. Semantic Scholar ID e604ac09b6e52f2e87bcc37c901f7e758370cd7f. https://www.semanticscholar.org/paper/e604ac09b6e52f2e87bcc37c901f7e758370cd7f ↗