A Novel incentive mechanism for truthful performance assessments of cloud services

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The performance evaluation of cloud services usually relies on continual assessments from cloud users. In order to elicit continual and truthful assessments, an effective incentive mechanism should allow users to provide uncertain assessments when they are not sure about the real performance of cloud services, rather than providing untruthful or arbitrary assessments. This paper a novel uncertain-assessment-aware incentive mechanism. Under this mechanism, a rational user not only has sufficient incentives to continually provide truthful assessments, but also would prefer providing uncertain assessments over untruthful or arbitrary assessments since uncertain assessments can bring more benefits than untruthful or arbitrary assessments.
Original languageEnglish
Title of host publicationAAMAS 2016
Subtitle of host publicationproceedings of the International Conference on Autonomous Agents and Multiagent Systems
EditorsJ. Thangarajah, K. Tuyls, C. Jonker, S. Marsella
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery
Number of pages2
ISBN (Print)9781450342391
Publication statusPublished - 2016
EventInternational Conference on Autonomous Agents and Multiagent Systems (15th : 2016) - Singapore, Singapore
Duration: 9 May 200913 May 2016


ConferenceInternational Conference on Autonomous Agents and Multiagent Systems (15th : 2016)
CitySingapore, Singapore


  • incentive mechanism
  • uncertain assessments
  • cloud services

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