Abstract
In order to solve the problem of the user demands to the quality of service (QoS) of network, this paper provides a novel QoS evaluation model based on the intelligent water droplets (IWD) algorithm. The model firstly gives the evaluation indexes of network QoS and establishes a multiobjective optimization function for solution in combination with the improved IWD. Then, mathematical simulation is used to conduct the in-depth study of the key factors influencing the evaluation model. Compared with the other methods, the algorithm has shown better adaptability in the simulation results.
Highlights
Web services with the same or similar functions continue to emerge with its increasing number
QoSbased Web service recommendation can be divided into two categories [1,2,3,4,5,6,7]: one is to model the service selection with multiple quality of service (QoS) constraints as a directed acyclic graph optimal path problem and give a service selection algorithm based on this model; the other is to establish QoS ontology with the description and deduction ability of which the accuracy of service matching can be improved
Luo et al [10] presented a novel QoS prediction approach to serve this purpose through the combination of fuzzy neural networks and adaptive dynamic programming
Summary
Web services with the same or similar functions continue to emerge with its increasing number. Tran et al [9] proposed a novel approach for designing and developing a QoS ontology and its QoS-based ranking algorithm for evaluating web services. Mao et al [14] proposed a search-based prediction framework to address the QoS ranking problem, and a fitness function for an ordered service sequence is defined to guide. In order to further fulfill user demands on network QoS, the paper provides a novel QoS evaluation method on the basis of improved intelligent water droplets (IWD). Is paper considers the number of users on the web as that of water droplets, and the drop rolling rule is regarded as the evaluation index of service quality. In order to further fulfill user demands on network QoS, the paper provides a novel QoS evaluation method on the basis of improved intelligent water droplets (IWD). e IWD, with high self-organization, is a novel algorithm merging probability choice and heuristic search and very adaptive to complex problems. is paper considers the number of users on the web as that of water droplets, and the drop rolling rule is regarded as the evaluation index of service quality. e process of water droplets optimization is considered as that of service quality optimization and the group that has used the service is considered as the sediment taken away. e best web service can be found out with the continuous iteration and update therefrom. e paper provides the evaluation indexes for the network QoS and establishes a multiobjective optimization function to solve the problem with the IWD
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