Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1109/ISSREW.2014.84guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
Article

A Runtime Verification Based Trace-Oriented Monitoring Framework for Cloud Systems

Published: 03 November 2014 Publication History

Abstract

Cloud computing provides a new paradigm for resource utilization and sharing. However, the reliability problems, like system failures, often happen in cloud systems and bring enormous loss. Trace-oriented monitoring is an important runtime method to improve the reliability of cloud systems. In this paper, we propose to bring runtime verification into trace-oriented monitoring, to facilitate the specification of monitoring requirements and to improve the efficiency of monitoring cloud systems. Based on a data set collected from a cloud storage system in a real environment, we validate our approach by monitoring the critical properties of the storage system. The preliminary experimental results indicate the promise of our approach.

Cited By

View all
  • (2019)How bad can a bug get? an empirical analysis of software failures in the OpenStack cloud computing platformProceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3338906.3338916(200-211)Online publication date: 12-Aug-2019

Recommendations

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image Guide Proceedings
ISSREW '14: Proceedings of the 2014 IEEE International Symposium on Software Reliability Engineering Workshops
November 2014
530 pages
ISBN:9781479973774

Publisher

IEEE Computer Society

United States

Publication History

Published: 03 November 2014

Author Tags

  1. Cloud Computing
  2. Failure Detection
  3. Runtime Verification
  4. Trace-Oriented Monitoring

Qualifiers

  • Article

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • Downloads (Last 12 months)0
  • Downloads (Last 6 weeks)0
Reflects downloads up to 26 Nov 2024

Other Metrics

Citations

Cited By

View all
  • (2019)How bad can a bug get? an empirical analysis of software failures in the OpenStack cloud computing platformProceedings of the 2019 27th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering10.1145/3338906.3338916(200-211)Online publication date: 12-Aug-2019

View Options

View options

Login options

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media