Research On Recommendation Algorithm Of Mobile Cloud Computing Alliance Based On Mutual Information Feature

With the rapid development of mobile cloud computing and big data,original way of sharing resources in mobile cloud computing alliance can notsatisfy the current mobile cloud computing resource sharing alliance to highefficiency and high satisfaction of needs, and recommend systems andrecommendation algorithm provides a new way for mobile cloud computingalliance. Therefore, recommendation algorithm of mobile cloud computingalliance came into being. Recommendation algorithm of mobile cloud computingalliance have personalized high accuracy features and provides the basis for thehigh efficiency in resource sharing of mobile cloud computing alliance. However,since resources of mobile cloud computing alliance compared to merchandise,with the structure of the complex, high-dimensional features, ratings data isdifficult to obtain, traditional recommendation algorithm used in mobile cloudcomputing alliance presence of low accuracy and can not be calculated for allmobile cloud Union recommended resources issues. Therefore, from theperspective of the recommended resources, resource sharing is regarded asbehavioral data of mobile cloud computing alliance, extracts resourcerecommend preferences features of mobile cloud computing alliance members byresearching mobile cloud computing alliance behavioral data, which hasimportant theoretical and practical significance for mobile cloud computingalliance to improve efficiency and satisfaction of resource sharing.This paper defines concept of mobile cloud computing alliance and itscomponents, and establish mobiles cloud computing alliance recommendationprocess,and builds the recommendation algorithm based on mutual informationfeature of mobile cloud computing alliance on the basis of theories and methods of mobile cloud computing alliance resource scheduling, collaborative filteringrecommendation algorithm and mutual information.From the classification and preprocessing in the behavior data of mobilecloud alliance members, analyzes the hazards of false behavior data to mobilecloud computing alliance recommendation algorithm and establish characteristicssystem of behavioral data of mobile cloud computing alliance members,construct attack detection algorithm of mobile cloud computing alliance behaviordata based on mutual information characteristic to preprocess the behavioral dataof alliance members and exclude the impact of false data to recommendationalgorithmFrom the feature preferences and recommend of mobile computing cloudalliance members, analyzes mutual information features of the mobile cloudcomputing alliance members and improves similarity calculation method ofmobile cloud computing alliance members by mutual information featureweighted. Collaborative filtering algorithm based on the characteristics of mutualinformation of mobile cloud computing alliance was constructed to recommendthe mobile cloud alliance members.Research in recommendation algorithm of mobile computing cloud allianceaims to take the initiative recommendation to mobile cloud computing alliancemembers based on their preferences feature, to promote the sharing of resourcesmobile cloud computing alliance has extremely important theoretical andpractical significance.