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Related Experiment Video

Updated: Mar 6, 2026

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
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Published on: December 13, 2016

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A Weibull distribution accrual failure detector for cloud computing.

Jiaxi Liu1, Zhibo Wu1, Jin Wu1

  • 1School of Computer Science and Technology, Harbin Institute of Technology, Harbin, Heilongjiang Province, China.

Plos One
|March 10, 2017
PubMed
Summary
This summary is machine-generated.

A new Weibull Distribution Failure Detector improves high availability in cloud computing. This failure detector offers enhanced speed and accuracy in dynamic network conditions, crucial for distributed systems.

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Area of Science:

  • Computer Science
  • Distributed Systems
  • Cloud Computing

Background:

  • Accrual failure detectors are essential for high availability in distributed systems.
  • Existing implementations struggle with the dynamic nature of cloud environments.
  • Adaptability to diverse applications is a key requirement for large-scale systems.

Purpose of the Study:

  • To propose a novel accrual failure detector tailored for cloud computing environments.
  • To address the limitations of current failure detectors in dynamic network conditions.
  • To enhance the performance of distributed systems in the cloud.

Main Methods:

  • Development of the Weibull Distribution Failure Detector (WDFD).
  • Evaluation using public classical and cloud computing experimental data.
  • Comparative analysis against existing failure detection methods.

Main Results:

  • The WDFD demonstrates superior performance in speed and accuracy.
  • It excels in unstable network scenarios characteristic of cloud computing.
  • Adaptability to dynamic and unexpected network conditions is confirmed.

Conclusions:

  • The Weibull Distribution Failure Detector is a promising solution for cloud-based distributed systems.
  • It offers improved reliability and efficiency in challenging network environments.
  • WDFD enhances the robustness of high availability systems in the cloud.