Research On Implementation Technology Of Intensive Computing On Mobile Device In Cloud Environment

Mobile cloud computing is cloud computing for mobile world. It enables mobile devices to use the rich cloud computing resources, reduce the resource requirements of mobile devices.Mobile cloud computing improved the value of cloud computing, get great attention from business and academia. However, due to the diversity of the cloud platform, for developers, how to rapid development specific services in the cloud, choose what kind of cloud platform is we need to first consider. Resource constraints of mobile devices, limiting the calculation of mobile devices running intensive computing, which limits the compute intensive applications running on mobile devices. Therefore, to study how to select the appropriate cloud platform, rapid development of specific services, the establishment of a specific model to solve the problem of resource constraints, mobile devices and improve the user experience, has important academic significance and application value.In response to these problems, we present some typical cloud platform for the analysis and research, especially compared IaaS and PaaS, aims to find a more suitable environment for develop mobile application in the cloud. Therefore, in this paper we study the means intensive computing on mobile devices, analysis of cloud computing for mobile computing model, improve the computing power of mobile devices, while reducing energy consumption, aims to running compute intensive applications on the mobile device by means of using cloud rich resource. The main contents include the following aspects and work:(1) To the cloud platform heterogeneity problem, the realization of this mechanism of cloud computing are analyzed and compared two typical IaaS and PaaS cloud platform development method differences, Google App Engine in particular describes the methods to deploy services, for rapid development in the cloud environment to provide reference and guidance.(2) Based on existing mobile computing model, we studied the computing offloading method, in particular, the migration of computing applications partition algorithm is studied, proposed an elastic computing model, the consumption of mobile devices power is analyzed. Experimental results show that the proposed model can effectively enhance the computing power of mobile devices, while saving energy consumption of mobile devices.