Research On Dynamic Cloud Computing Segmentation Based On Dynamic Environment

In China,the rapid development of society,the development of the Internet is quite rapid,cloud services is the product of the development of the Internet,which is cloud computing systems in the cloud application system to produce a new cloud computing.Battery capacity,network communication capabilities and computing storage resources are limitations of the mobile terminal device itself,mobile cloud computing has its limitations,but also has its somewhat: in the wireless network,mobile terminal equipment can be extended mobile applications,but also Use the resources of the cloud to obtain storage resources and the required calculations as needed.Mobile Cloud Computing In order to improve the quality of service(Qos)of mobile applications,all or part of the work that needs to be calculated is moved to the cloud.In the current mobile cloud computing is still less,to explore suitable for mobile client changes with the situation and can use the resources of the network to enhance the status of broadband.For the above-mentioned questions,in this article will be described on the mobile cloud service application calculation segmentation method in the dynamic environment based on the study of mobile cloud computing,in the dynamic environment to explore the calculation of the work unit in the local Calculate or move to the calculation of dynamic decision-making mobile applications in the case of cloud computing.Mainly to start the following tasks:In combination with the mobile cloud computing system framework,the first to establish a state of the mobile data flow application model.For the analysis of multi-frame data flow segmentation decision,task scheduling and execution efficiency,dynamic optimization and single-frame data flow segmentation scheme,the definition of the problem is to explore the mobile cloud computing and the direction of the definition of several aspects of the content TheThe single-frame data flow segmentation method is based on the above basis and explores the job sorting and work-task data flow model in the case of knowing the segmentation scheme,and analyzes its work scheduling method,and calculates the data frame.After the implementation of the time is calculated according to the scheduling method,and through the genetic calculation method to perform the shortest time as a fitness function,and then calculate the best calculation of segmentation decision-making method.In this paper,the manipulation of multi-frame data is based on the single-frame data flow segmentation method,to explore the multi-frame data optimization and calculation of segmentation decision,taking into account the network bandwidth in the next short period of time changes,To achieve multi-frame data calculation Segmentation program optimization decision-making is calculated by the calculation of the node segmentation optimization program to adjust the way to achieve.For the contents of the above work,this paper expatiates on the validity of single segment data calculation in state data stream application and analyzes the performance of multi-frame data in the optimized method.At the end of this paper,the validity of the research paper is verified by a mobile cloud computing platform prototype system "mobile cloud service face recognition".With the arrival of the advanced 4G era of mobile terminal performance,the computational segmentation method of mobile cloud computing discussed in this article can be applied to image recognition processing such as speech recognition processing system and bar code two-dimensional code recognition Systems and other stateful data stream processing procedures.