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Service Reliability Oriented Modeling for the Failure of Cloud Data Center

  • Beihang University
  • China Life Insurance

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

Abstract

As the failures in cloud data center is inevitable, some severe failures may prevent the cloud data center from continuing providing service, resulting a great loss of economy. Thus, analyzing and seeking for the rules of the failures of cloud data center are the preliminary procedure of providing better services from the cloud data center. In this paper, from the perspective of service reliability, which is defined as the ability of successfully processing service requests, the data from the cloud data center of an insurance company are collected and will be analyzed. Some relationships between the average response time and the access amount are supposed to be realized. And the regularity of the access amount and access failure amount has also been discovered. Our finding may have a help for improving the service reliability and providing a theoretical support for reliability modeling and resilience analysis of cloud data center.

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 18th International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages353-357
Number of pages5
ISBN (Print)9781538678398
DOIs
StatePublished - 9 Aug 2018
Event18th IEEE International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018 - Lisbon, Portugal
Duration: 16 Jul 201820 Jul 2018

Publication series

NameProceedings - 2018 IEEE 18th International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018

Conference

Conference18th IEEE International Conference on Software Quality, Reliability, and Security Companion, QRS-C 2018
Country/TerritoryPortugal
CityLisbon
Period16/07/1820/07/18

Keywords

  • Access failure amount
  • Access mount
  • Cloud data center
  • Response time
  • Service reliability

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