Research on the Influence of Sampling Methods for the Accuracy of Web Services QoS Prediction

Abstract

In recent years, as the number of Web services, increases dramatically, the personalized Web service recommendation has become a hot topic in both academia and industry. The quality-of-service (QoS) prediction plays a key role in Web service recommendation systems. However, how to further improve the accuracy of QoS prediction is still a problem. Traditional QoS predicting models do not consider the impact of sampling methods on the accuracy of QoS prediction. However, the outstanding sampling method can train the predicting model more effectively and obtain higher accuracy. Therefore, it is necessary to study sampling methods based on the QoS dataset in order to obtain sample distribution closer to the original distribution, so as to improve the accuracy of the predicting models. In this paper, we first discuss how to apply several existing sampling methods to QoS datasets and then analyze their advantages and disadvantages. Finally, a novel sampling method, enhanced importance resampling (EIRS), is proposed and applied. The experiments on the real-world datasets show that our method can not only sample efficiently and accurately but also can greatly improve the accuracy of Web service QoS prediction. INDEX TERMS Quality of service, Web services, sampling methods, enhanced importance resampling.

A Meta-Heuristic-Based Approach for Qos-Aware Service Composition

“…This is because the QoS values of concrete services are independent to each other, even if the integer encoding is very close. For example, as shown in Fig.1, the [5,6,12,13] code is close to the [6,6,12,14] code, but the values of csQos are quite different.…”

“…Web services have become a recognized mainstream technology for implementing service-oriented architecture (SOA), and flexible aggregation of resources through dynamic composition of services has become a natural way of thinking for technological development [5]. Due to the diversity and complexity of the real world and the dynamic nature of user requirements, to guarantee the Quality of Service (QoS) of web service composition becomes a crucial and significant challenge [6], [7]. QoS-aware Web Service Composition(QWSC) is one of the core technologies to solve this problem.…”

Time Series Analysis of Computer Network Traffic in a Dedicated Link Aggregation

“…A simple and fast technique of multifractal traffic modeling has been proposed and a method of fitting model to a given traffic trace. A comparison of simulation results obtained for an exemplary trace, multifractal model and Markov Modulated Poisson Process (MMPP) models has been performed [15], [21].…”