Game-theoretic strategy analysis for data reliability management in cloud storage systems

Chung Yi Lin*, Wen-Guey Tzeng

*Corresponding author for this work

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

6 Scopus citations

Abstract

Replication is the simplest way to achieve data reliability in cloud storage systems. Nevertheless, replication incurs storage overhead to the cloud storage provider (CSP). To verify CSPs' reliability, users can audit CSPs with remote data integrity checking. However, the auditing incurs cost to users. Thus, CSPs and users involve a conflict situation, where users prefer less auditing and CSPs prefer less replication. In this paper, we provide a game-theoretic analysis to get optimal strategies for users and CSP. We use the pricing strategy adopted by Amazon S3 to explain our analysis. Our results show that a user should audit if CSP's reduced data copies are less than 1:81. If CSP believes lower user's staying probability, it should provide more discount or copies. According to this study, a user has the criterion for paying less auditing cost and CSP makes the reliability and pricing policy to keep users in business.

Original languageEnglish
Title of host publicationProceedings - 8th International Conference on Software Security and Reliability, SERE 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages187-195
Number of pages9
ISBN (Electronic)9781479942961
DOIs
StatePublished - 1 Jan 2014
Event8th International Conference on Software Security and Reliability, SERE 2014 - San Francisco, United States
Duration: 30 Jun 20142 Jul 2014

Publication series

NameProceedings - 8th International Conference on Software Security and Reliability, SERE 2014

Conference

Conference8th International Conference on Software Security and Reliability, SERE 2014
CountryUnited States
CitySan Francisco
Period30/06/142/07/14

Keywords

  • Cloud storage
  • Data reliability
  • Game theory
  • Remote data integrity checking

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