A Study on Social Media Applications into Geo-Distributed Multi Clouds

Social media applications are dominating the internet. A geo-distributed cloud is model for supporting large-scale social media applications with dynamic contents and demands. The defy lies in storing and relocation of the contents dynamically from different cloud and distributing them. This paper study the Cloud Rank Algorithm (CRA) for lively, optimal scaling media applications in a geo-distributed cloud. Group of geo-distributed cloud services is a trend in cloud computing which, by spanning multiple data centers at different geographical locations, can provide a cloud platform with much larger capacities. Such a geo-distributed cloud is ideal for supporting large-scale social media streaming applications with dynamic contents and demands, owing to its abundant on-demand storage/bandwidth capacities and geographical proximity to different groups of users. By exploiting social influences among users, this paper proposes efficient proactive algorithms for dynamic, optimal scaling of a social media application in a geo-distributed cloud. The QoS of the OSN service is better if more users have their data hosted on clouds of a higher preference.