Research Of Energy-Efficiency For Smartphones In Mobile Cloud Computing

Mobile cloud computing is a new technology that combines mobile internet and cloud computing.Users can migrate data computing and storage to the cloud to improve their mobile terminal's weak processing capability,small storage space,and short battery life.With the development of mobile cloud computing,users accessing any information on the Internet via a smart phone are often based on real-time sensing or continuous data communication.However,when the communication status is unstable,the mobile client needs to establish multiple connections with the cloud,which leads to a large energy consumption has posed a huge challenge to the performance of mobile cloud computing systems.Therefore,the research of smart phone energy-saving technology on mobile cloud computing becomes the key technology to solve the mobile energy consumption problem of mobile cloud computing system.Most of the existing smart phone energy-saving technology for mobile cloud computing are hard solutions in terms of mobile terminals such as sensor switching and hibernation mechanisms,and these methods require exact switching and dormancy specific moments.In addition,migration from phone to cloud storage is another method,and there is also some manual intervention in the setting of migration time.According to mobile cloud computing environment,we consider the similarity of access data of strong interaction users and the predictability of user behavior data in a specific environment,by reducing the number of mobile client to connect with the cloud,to use smart phone energy-saving model combining the social network Interaction and data pre-storage model,thus proposed based on user interaction Maximize Interaction Walk Maximization,the main work is:(1)maximize the interaction phase: the proposed mobile phone The framework of energy-saving model and a method of maximizing the impact based on user interaction.Based on the data forecasting model,this paper makes use of the improved interactive degree method based on interactive relationship to predict the accessed data of known users.(2)Link Prediction Stage: An interactive walkthrough algorithm based on interactive relationship(Interaction walk)is proposed.In this paper,the Friend Link method based on user behavior is used to analyze the data of the forecasting data,predict the data information that the current user may access in the future as much as possible,and then pre-store the forecast data by using the data pre-storage mechanism.By reducing the communication times To achieve the purpose of cell phone energy saving.(3)Experimental analysis stage: The experimental results show that the proposed method can ensure the expected energy saving of mobile phones under the circumstance of not involving the user's background information and improving the hit rate of the next visit.