Optimal Online Liveness Fault Detection for Multilayer Cloud Computing Systems

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Efficient online liveness fault detection is crucial to cloud systems. Most current online liveness fault detection techniques, such as system layer heartbeating, use a single unreliable detector to detect cloud system liveness. A single unreliable detector requires a certain amount of time to detect faults to avoid misjudgment, regardless of the type of fault detected. However, many faults can be detected by other detectors more quickly. Therefore, this paper proposes an efficient online liveness fault detection mechanism for cloud systems that integrates existing detectors to quickly detect faults. We compared the fault detection efficiency of the proposed mechanism with those of counterpart mechanisms. According to the results, relative to system layer heartbeating without any auxiliary detection mechanism, our proposed mechanism had a 70.3% shorter fault detection time.

Original languageEnglish
JournalIEEE Transactions on Dependable and Secure Computing
DOIs
StateAccepted/In press - 2021

Keywords

  • Cloud computing
  • Detectors
  • Fault detection
  • Fault detection time
  • Fault diagnosis
  • Heart beat
  • linear layer dependence
  • multilayer cloud system
  • Nonhomogeneous media
  • online fault detection
  • Transient analysis
  • transient fault

Fingerprint

Dive into the research topics of 'Optimal Online Liveness Fault Detection for Multilayer Cloud Computing Systems'. Together they form a unique fingerprint.

Cite this