Self Annihilating Data Storage and Location Based non-terminating Video Streaming Services for Mobile Users in CLOUD Environment

摘要

Cloud Computing has become a popular buzzword and it has been widely used to refer to different technologies, services, and concepts. With the use of cloud computing, here we are trying to give the location based efficient video information to the mobile users. Location Based Service(LBS) is an information service and has a number of uses in social networking today as an entertainment service, which is accessible with mobile devices through the mobile network and which uses information on the geographical position of the mobile device. While the demands of video streaming services over the mobile networks have been souring over these years, the wireless link capacity cannot practically keep up with the growing traffic load. In this project, we propose and discuss a Adaptive video streaming framework to improve the quality of video services in the location based manner. Through this system, video content can be segmented by an automatic shot/scene retrieval technology and stored in the database (DB). In the client side, two threads will be formed. One is for Video streaming and another one is for Location searching and updating. For the security purpose, we are using self destruction algorithm where the uploaded video is been destructed automatically after the user defined time. Thus the location based Video information can be streamed efficiently and securely by the mobile users.