Research On Data Prefetching And Cache Of Mobile Teaching Evaluation Under Association Rules

With the rapid development of information technology, the number of the network scale and network applications are growing exponentially.After entering the Web2.0, the amount of data generated by the user has erupted in a fast way, especially in recent years the rapid development of Mobile Internet lead to users more easily access to using the internet.The rapid development of mobile Internet has affected every aspect of our lives, more and more desktop applications to be mobile.Teaching evaluation system is a system for the evaluation of the teachers’ teaching conditions.Due to its high concurrency exists in the process of using and the large quantity of the data,in the process of tinkering with the mobile will appear long time data request under the high concurrency. This paper puts forward the prefetching corresponding data and cache model in order to solve this problem..The nature of data prefetching is to convert the original synchronous data request to asynchronous data request.Data prefetching by analyzing the data on the user’s previous request record and the current state of data request predicts the future behavior of the users and reads the data caching used to reduce data request waiting time through the corresponding mining algorithm.This paper presents association rules mining algorithm FP-Growth based on the teaching evaluation data prefetching model,using the FP-Growth algorithm for mining association rules of user data requests,joining the process of generalization of association rules in the process of data prefetching,and aiming at the teaching evaluation data prefetching value evaluation algorithm.Data prefetching and data caching are two indivisible unified whole, for example,data caching provides support for prefetching data storage. Prefetching data to be stored in the cache system backup, update and replacement strategy of caching system has a great effect on the cache hit rate.This paper presents the cache model based on dynamic priority layer,which about cache data with dynamic priority, through real-time priority change to achieve data hierarchy. This paper also puts forward the active update method based on life cycle, cache hit rate and data caching priority.The importance of data priority were quantified as the value of the life cycle which by changing to achieve the active cache update and cleaning.In this paper, the data prefetching model in teaching evaluation system is studied in detail,and the thesis focuses on the data prefetching model and data caching model to research.Experimental results show that the proposed data prefetching and the cache model for the data request rate in teaching evaluation system is improved obviously.