Computer Science ›› 2016, Vol. 43 ›› Issue (11): 260-264.doi: 10.11896/j.issn.1002-137X.2016.11.051

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Real-time Cloud Environment Aware Web Service Selection and Evaluation

XIAO Gang, WU Fei-fei, XU Jun, LU Jia-wei and ZHANG Yuan-ming   

  • Online:2018-12-01 Published:2018-12-01

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.Non-trusted and trusted Web service provi-ders may make the different service description of the meta-service,where deceit exists.Multiple consumers may simultaneously invoke the same high quality service and thus it is very likely to occur that the users’ access exceeds the load capacity of service leading to the decline in service capacity.In this paper,we proposed 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 the selected web service with high real-time and high reliability.Furthermore,the reputation model was proposed to evaluate the promised QoS of the service providers and a highly reliable service environment was established.Extensive simulation results show that the method can achieve evaluation and forecast of QoS efficiently,and provide an optimal Web service for users.

Key words: Service turbulence,Environmental-aware,Bid and tender,QoS aware module

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