Real-time Environment Aware Web Service Selection and Evaluation
Feifei Wu, Jun Xu, Jiawei Lu, Gang Xiao, Yuanming Zhang
International Journal of Web Applications, Vol. 7, No. 3, 2015.
DOI: 
Link: http://www.dline.info/ijwa/fulltext/v7n3/v7n3_3.pdf
Abstract:
Currently, the quality of service (QoS) of web services can not to be guaranteed, because the cloud environment
lacks the ability to be real-time aware of their load capacity changes. For non-trusted and trusted web service providers
may make the different service description of the meta-service, where exists deceit. As consumers may simultaneously
invoke the same high quality service and thus it is very likely to occur that the usersâ€™ access exceeds the load capacity of
service. In this paper, we propose a service selection and evaluation method based on real-time environmental-aware. The
service dispatch center proposed in this paper aims to select meta-service clusters by way of bidding and tendering to
guarantee the QoS of the selected service. Meanwhile, the QoS aware module of each meta-service will make real-time
perception of QoS to ensure web service with high real-time and high reliability. Furthermore, a QoS prediction algorithm
is proposed to evaluate the promised reputation of the service providers. Extensive simulation results show that the
method can achieve evaluation and forecast of QoS efficiently and provide an optimal web service for users.