Research Of Cellular Automat On Mobile Computing

With the improvement of living standards,people enjoyed more fluid mobile experience by mobile terminals,and seamlessly pursuited a variety of content and application whenever and wherever,but the mobile terminal’s ability to calculate didn’t match people’s demand growth,which make the personalized requirements of customers not get immediate response.So mobile load transfer equilibrium base on cell automat was proposed.Thin client transferred computing power to the mobile server with the mobile Agent model based on cellular automat so that server can relief from pressure of load balancing,and fast calculate,thus avoiding the problems of mobile terminal itself short board (because of small capacity battery and small size),such as time delay problem, the large equipment consumed power problem,to meet personalized consumer requirements.From the angle of parallelism of cellular automat itself,the work of this paper focused on how to make mobile server load balancing and save system resources to better respond to client requests.First,cellular automat theory was discussed and analytized,the analysis of cellular automat model method and the model of point (limiting conditions, structural design,boundary conditions and evolution rules)were discussed,and Pascal’s Rule and Bermuda Triangle Triangle Rule’s the stability were compared so that we determined which is suitable for cellular automat of mobile computing.Then the model of mobile Agent based on cellular automat was put forward, itscomposition was described,its performance with the total response time metrics was compared,experiment based on cellular automat mobile Agent model of static average allocation strategy was analysized, strategy was improved for dynamic allocation strategy to better realize load balancing and save system resources. Discussing the model of application examples, the practicability and validity of the model was illustrated in the recommendation system of mobile computing.The contribution and innovation of this paper were as follow.1)The stability of two rules that a one-dimensional cellular automat had Bermuda Triangle Rule and Bermuda Triangle Rule in mobile computing wascompared by mathematical modeling, and we knowed Bermuda Triangle Rule was suitable for mobile computing rules of cellular automat. 2)Mobile Agent model based on cellular automat was put forword,detailed model component of performance was analyzed,and the mobile Agent model based on cellular automat was applied to improve the recommendation system.3)Using dynamic allocation strategy and mathematical description,improved algorithm was put forward for cellular automat average tasks strategy.