The Estimation of Trustworthy of Grid Services Based on Neural Network
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| Title | The Estimation of Trustworthy of Grid Services Based on Neural Network |
| Authors | |
| Abstract | Though research on the Grid Services hasprogressed at a steady pace, its promise has yet to berealized. One major difficulty is that, by its very nature, theGrid Service is a large, uncensored system to which anyonemay contribute. This raises the question of how muchcredence to give each source. The concept and definition oftrustworthy of Grid Service is given. Estimatingtrustworthy of Grid Services with the method of NeuralNetwork from the aspect of trustworthy history sequence isproposed. The principle of the method, applicable NeuralNetwork structure, Neural Network constructing, inputstandardization, training sample constructing, and theprocedure of estimating trustworthy of Grid Services withtrained Neural Network are presented. Experimentsconfirm that the methods with Neural Network are feasibleand effective to estimate trustworthy of Grid Service, anddo not put unreasonable expectations on users. We hopethat these methods will help to move the Grid Service closerto fulfilling its promise. |
| Publisher | ACADEMY PUBLISHER |
| Date | 2010-10-01 |
| Source | Journal of Networks Vol 5, No 10 (2010): Special Issue: Information Security and Applications |
| Rights | Copyright © ACADEMY PUBLISHER - All Rights Reserved.To request permission, please check out URL: http://www.academypublisher.com/copyrightpermission.html. |