JCSE, vol. 11, no. 3, pp.100-108, 2017

DOI: http://dx.doi.org/10.5626/JCSE.2017.11.3.100

Response Time Prediction of IoT Service Based on Time Similarity

Huaizhou Yang and Li Zhang
School of Computer Science, Xi'an Shiyou University, Xi'an, China

Abstract: In the field of Internet of Things (IoT), smarter embedded devices offer functions via web services. The Quality-of-Service (QoS) prediction is a key measure that guarantees successful IoT service applications. In this study, a collaborative filtering method is presented for predicting response time of IoT service due to time-awareness characteristics of IoT. First, a calculation method of service response time similarity between different users is proposed. Then, to improve prediction accuracy, initial similarity values are adjusted and similar neighbors are selected by a similarity threshold. Finally, via a densified user-item matrix, service response time is predicted by collaborative filtering for current active users. The presented method is validated by experiments on a real web service QoS dataset. Experimental results indicate that better prediction accuracy can be achieved with the presented method.

Keyword: Internet of Things; Web service; QoS prediction; Collaborative filtering

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