Research And Application Of Cloud Computing Based On The Platform Of Android

So far as the development of computer technology,the Internet penetration rate is getting more and more higher,which has become an indispensable tool in our daily life.Especially,with the recent development of mobile Internet,data-need presentes distributed,terminal,large-scale,and the traditional data model has been unable to adapt to the service of massive data request.Cloud computing technology provides a very good solution. Cloud computing technology can efficiently handle ultra-large-scale data,save the cost of massive computing,shorten the execute time of job,improve the throughput of system.No matter at home or at abroad,there have come out some more mature commercial solutions which based on cloud computing technology.Domestic,360, Tencent,Jinshan and other IT giants have invested lots of human and material resources to carry out the research and development of cloud computing technology.Abroad,Amazon,Google,Yahoo!,Microsoft,the world’s IT giants have a full-fledged commercial program application success stories,and achieved very good results.However,we must recognize cloud computing technology has its limitation, different application scenarios needs different solution. Therefore,through the analysis of the Haddoop’s MapReduce distributed system model,find out the proposed potimization solution to fit its application scene by experimental verification.This topic compares the development of home and abroad, and introduce the basic concepts of cloud computing technology,theoretical knowledge, especially Android platform,Hadoop system and MapReduce programming model,then based on the job allocation algorithm of MapReduce model in Hadoop system,analyze its strengths and weaknesses,and improve the MapReduce model.At the end,verify its efficiency of the improved application scenarios MapReduce model,while analyz the achievement of microblogging cloud client module.