Research Of The Service Composition Qos Model On Cloud Computing Application

With the rapid development of the Internet,many industries production capacity gradually move closed to the composition of the collaborative,intelligent,virtualization,service-oriented,that making the cloud service has become one of the current research focus.Cloud QoS model service composition have been studied,including the needs of the user based on user behavior analysis to obtain their basic individual needs,reflect the service composition process model for optimal QoS values obtained and the composite service QoS model be adaptively a comprehensive evaluation,and an adaptive adjustment algorithm based on this model.In this paper,the combination of the service QoS model used in the cloud carried out relevant research,the work includes the following three aspects.1.It proposes personalized user behavior analysis.Since different knowledge resources are virtualized abstract knowledge into a variety of services,in order to allow users to choose effective knowledge service,knowledge service platform for analyzing user access behavior of these services through a combination of user needs in order to provide knowledge to the user,so proposed based on the behavior of individual users of the resource selection policy approach to research on the different user behavior.With this personalized acts resource selection policy approach enables users basic needs are met,and in accordance with the access to the platform of different knowledge resources,knowledge resources of several weighted average duration and frequently visited for comparison,the needs of individual users program.2.To analyse the algorithm performance service portfolio QoS values.For a large number of services exist in the service library service composition process leading to slow or unable to effectively meet a combination of the user's problem,a screening method for optimal and efficient service QoS values can be drawn on this basis.The method by finding all Services library screening draw an effective service and filter out invalid service,all based on the effective collection of servicesobtained and effective service for each corresponding parameter mapping to calculate the service composition collection of valid service service portfolio consisting of a collection of simulation results obtained optimal QoS value,and accordingly the value of QoS algorithm to verify the correctness of their time complexity.3.Proposed a method named cloud services portfolio adaptive adjustment.Services appear for service composition renunciation,replacement event,a method of adaptive kind of exception processing service portfolio adjustment.The success rate in the combination of different tasks,different candidate service,look for the number of different conditions this method were compared with the experiment,and draw the effects of these types of circumstances combination success rate and response time caused by.