Abstract
This paper proposes a novel cloud service selection model based on the comparison and aggregation of contextual subjective assessment and objective assessment of cloud services. In this model, objective assessment provided by some professional testing parties is used as a benchmark to dynamically filter out biased subjective assessment extracted from cloud user feedback according to assessment context similarity. Through this model, the overall quality of cloud services can be effectively reflected with less subjective bias for potential cloud consumers.
Original language | English |
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Title of host publication | 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 |
Editors | Alessio Lomuscio, Paul Scerri, Ana Bazzan, Michael Huhns |
Place of Publication | Paris, France |
Publisher | International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS) |
Pages | 1483-1484 |
Number of pages | 2 |
Volume | 2 |
ISBN (Electronic) | 9781634391313 |
Publication status | Published - 2014 |
Event | 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 - Paris, France Duration: 5 May 2014 → 9 May 2014 |
Other
Other | 13th International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2014 |
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Country/Territory | France |
City | Paris |
Period | 5/05/14 → 9/05/14 |