Abstract
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 language | English |
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Title of host publication | AAMAS 2016 |
Subtitle of host publication | proceedings of the International Conference on Autonomous Agents and Multiagent Systems |
Editors | J. Thangarajah, K. Tuyls, C. Jonker, S. Marsella |
Place of Publication | New York, NY |
Publisher | Association for Computing Machinery |
Pages | 1325-1326 |
Number of pages | 2 |
ISBN (Print) | 9781450342391 |
Publication status | Published - 2016 |
Event | International Conference on Autonomous Agents and Multiagent Systems (15th : 2016) - Singapore, Singapore Duration: 9 May 2009 → 13 May 2016 |
Conference
Conference | International Conference on Autonomous Agents and Multiagent Systems (15th : 2016) |
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City | Singapore, Singapore |
Period | 9/05/09 → 13/05/16 |
Keywords
- incentive mechanism
- uncertain assessments
- cloud services