Chi-Hua Chen, Genggeng Liu, Yu-Chih Wei, Zuoyong Li, Bon-Yeh Lin
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引用次数: 0
Abstract
ABSTRACT This research proposes a pre-signed response method based on online certificate status protocol (OCSP) request prediction. A request prediction method is proposed to analyse and predict potential volumes of certificate signing requests for a given time or period, so that responses to the requests can be generated and pre-signed during off-peak hours for load balancing. In our experiment, the OCSP request data in a certificate centre is collected and analysed for the evaluation of our proposed method. Our results show that the accuracy rate of our proposed method is about 96.17% in the prediction of traffic volumes.
期刊介绍：
Enterprise Information Systems (EIS) focusses on both the technical and applications aspects of EIS technology, and the complex and cross-disciplinary problems of enterprise integration that arise in integrating extended enterprises in a contemporary global supply chain environment. Techniques developed in mathematical science, computer science, manufacturing engineering, and operations management used in the design or operation of EIS will also be considered.
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