Design And Implementation On Statistic And Analysis Of Mobile Gaming Platform Based On IOS

With the rapid development of mobile Internet, more and more Internet founders puttheir business vision into the field of mobile games. Look around the mobile game markettoday, the design and development direction of some game products depend entirely on thefew peoples· subjective judgment. They only refer to the feedback of few players andbackground data of the mobile game market which not only has limited value, lower accuracybut also too broad to reflect hardly the potential issues of a game. If the operator wants to hasa certain status in the increasingly serious competitive environment. They need to have a deepknowledge of not only the dynamic and the popular trend of the game market but also thebehavior custom and the psychology of players, through this way they can adjust theirstrategy in time and design the core play to grasp more game players· psychology. Thereforemore players will be accumulated. This is an important step to increase the pay rate.Company will never be the leader which does not understand the data, so within rapidand persistent direction of the users· demand and based on the reasonable analysis of data arethe primary standard develop their products for each company. The paper aims to make theoperator to know the players· gaming experience accurately. Through the tool of data statisticbased on IOS platform which designed by us, we can roundly and accurately collect the dataof users· information and behavioral data. Then put these data into the Hadoop based onanalysis platform, on the basis of the operating index and players· status through the modelanalysis, we can get the data what we really want. So we can accurately master the users·habits and easily found the game·s defect. Accordingly allow the developers to adjust thegame at first time to perfect the gaming experience and the playability.It has become a trend that the game development on IOS platform, the development teamin major companies will cater it, aims to satisfy the increasingly users· demand, posses moreusers and occupy a larger market share. So that is why we choose to operate the tools of datastatistics on IOS platform. We have four models that include the data collection, data structure,data upload and open interface, through these design and realize SDK, but while to ensure thetool·s function, we should considerate about the non-functional issues at the same time, suchas tool·s stability and compatibility, whether take a lot of resources after the game has been integrated and have impacts on the game. When we collected these statistics, we·ll put theminto data analysis platform based on Hadoop. As everyone knows, Hadoop is an idealdistributed-cluster for dealing with the storage of massive data. Hadoop coupled with theadvantages of Hive, through the query statement on HiveQL which like SQL. We can transmitthe mission to the MapReduce on HDFS, and return the data what we want to query. Finally,we set a whole model of mobile players· behavior analysis which fit the operator·srequirements. We analysis some important index like the users· liveness, online duration,retention rate, wastage rate and pay rate through more time granularity, these data can helpoperators find out the potential issues of the game, so they can improve the product in timeand develop new strategies.