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Mass Data Efficient Scheduling Model with Cloud Computing on Android Platform

The Android operating system is the most popular handheld devices operating system, the cloud computing is taken for processing large scale data efficiently, the commonly used scheduling technology of cloud computing needs to assign the user jobs to the reasonable resources for execution, the scheduling performance is not good. The mass data scheduling model is proposed based on application service quality limitation, and the cloud computing data scheduling principle is analyzed on the Android platform, the Android platform user requirements and the resources of node vectors are described, independent computing ability of users are ensured. On the basis of service quality parameters computing, cloud mass data scheduling tasks are matched to the tasks on the Android platform, the different service quality requirements of user can be accurately judged, the resources is provided to the user according to the requirement, the scheduling overhead is reduced after the service quality matching, the efficient scheduling of mass data is obtained. Simulation results show that the proposed scheduling model has better performance in time consumption and user satisfaction degree, the new model has lower CPU load ratio on the Android platform, it is a high efficient mass data scheduling model of cloud computing on the Android platform.