A client-server architecture for live video streaming using object relational database

This thesis focuses on live video streaming and offers a new approach based on client-server architecture using relational database. The thesis also analyzes the traditional live video streaming concepts and challenges such as performance problems. On the other hand, this study aims to implement client-server architecture in order to gain performance and provides a faster retrieval and storing time, better download time with minimum metadata by using relational database. This architecture also provides multiple accesses on different domains like embedded devices, Internet based smart TVs etc. The study also covers a Windows desktop application which consists of two live video streaming approaches. Implementation tries to compare traditional video streaming using TCP sockets and client-server model using relational database. MySQL and Apache web server were used to support the thesis proposal. Implementation was tested with various amounts of clients and parameters such as frame rate, buffer size and picture quality. Test results and conditions were also included in the thesis text. Briefly, this thesis tries to provide a better client-server live video streaming solution using the abilities of web and database servers.