Reputation Revision Method for Selecting Cloud Services Based on Prior Knowledge and a Market Mechanism
The trust levels of cloud services should be evaluated to ensure their reliability. The effectiveness of these evaluations has major effects on user satisfaction, which is increasingly important. However, it is difficult to provide objective evaluations in open and dynamic environments because of th...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2014/617087 |
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| _version_ | 1832558729023717376 |
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| author | Qingtao Wu Xulong Zhang Mingchuan Zhang Ying Lou Ruijuan Zheng Wangyang Wei |
| author_facet | Qingtao Wu Xulong Zhang Mingchuan Zhang Ying Lou Ruijuan Zheng Wangyang Wei |
| author_sort | Qingtao Wu |
| collection | DOAJ |
| description | The trust levels of cloud services should be evaluated to ensure their reliability. The effectiveness of these evaluations has major effects on user satisfaction, which is increasingly important. However, it is difficult to provide objective evaluations in open and dynamic environments because of the possibilities of malicious evaluations, individual preferences, and intentional praise. In this study, we propose a novel unfair rating filtering method for a reputation revision system. This method uses prior knowledge as the basis of similarity when calculating the average rating, which facilitates the recognition and filtering of unfair ratings. In addition, the overall performance is increased by a market mechanism that allows users and service providers to adjust their choice of services and service configuration in a timely manner. The experimental results showed that this method filtered unfair ratings in an effective manner, which greatly improved the precision of the reputation revision system. |
| format | Article |
| id | doaj-art-683ff63806de4c619b17e84e450454c4 |
| institution | Kabale University |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2014-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-683ff63806de4c619b17e84e450454c42025-02-03T01:31:37ZengWileyThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/617087617087Reputation Revision Method for Selecting Cloud Services Based on Prior Knowledge and a Market MechanismQingtao Wu0Xulong Zhang1Mingchuan Zhang2Ying Lou3Ruijuan Zheng4Wangyang Wei5Information Engineering College, Henan University of Science and Technology, Luoyang 471023, ChinaInformation Engineering College, Henan University of Science and Technology, Luoyang 471023, ChinaInformation Engineering College, Henan University of Science and Technology, Luoyang 471023, ChinaInformation Engineering College, Henan University of Science and Technology, Luoyang 471023, ChinaInformation Engineering College, Henan University of Science and Technology, Luoyang 471023, ChinaInformation Engineering College, Henan University of Science and Technology, Luoyang 471023, ChinaThe trust levels of cloud services should be evaluated to ensure their reliability. The effectiveness of these evaluations has major effects on user satisfaction, which is increasingly important. However, it is difficult to provide objective evaluations in open and dynamic environments because of the possibilities of malicious evaluations, individual preferences, and intentional praise. In this study, we propose a novel unfair rating filtering method for a reputation revision system. This method uses prior knowledge as the basis of similarity when calculating the average rating, which facilitates the recognition and filtering of unfair ratings. In addition, the overall performance is increased by a market mechanism that allows users and service providers to adjust their choice of services and service configuration in a timely manner. The experimental results showed that this method filtered unfair ratings in an effective manner, which greatly improved the precision of the reputation revision system.http://dx.doi.org/10.1155/2014/617087 |
| spellingShingle | Qingtao Wu Xulong Zhang Mingchuan Zhang Ying Lou Ruijuan Zheng Wangyang Wei Reputation Revision Method for Selecting Cloud Services Based on Prior Knowledge and a Market Mechanism The Scientific World Journal |
| title | Reputation Revision Method for Selecting Cloud Services Based on Prior Knowledge and a Market Mechanism |
| title_full | Reputation Revision Method for Selecting Cloud Services Based on Prior Knowledge and a Market Mechanism |
| title_fullStr | Reputation Revision Method for Selecting Cloud Services Based on Prior Knowledge and a Market Mechanism |
| title_full_unstemmed | Reputation Revision Method for Selecting Cloud Services Based on Prior Knowledge and a Market Mechanism |
| title_short | Reputation Revision Method for Selecting Cloud Services Based on Prior Knowledge and a Market Mechanism |
| title_sort | reputation revision method for selecting cloud services based on prior knowledge and a market mechanism |
| url | http://dx.doi.org/10.1155/2014/617087 |
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