Video7 Extended Architecture: Project Design and Statistical Analysis

The increasing number of both digital audio and video, brings up the necessity of appropriate tools for the storage and management of those kind of data. As options for the storage, there are non-relational databases (NoSQL). The diversity of existing systems provokes the interest in proposing an architecture for the management of that content, in different types of databases. This work deepens the Video7 architecture for storing and retrieving streaming audio and video files stored in non-relational key-value, tabular, document databases. Based on the architecture and suggested project design, a tool was implemented that makes use of the Apache HBase, Apache Cassandra, Project Voldemort, Redis and MongoDB databases, and is subjected to stressful routines. The purpose of stress routines is to measure insertion and queries times, in addition to their transfer rates in response to requests to a media server. The kruskal-wallis test was used to validated the measurements. Redis database presents better performance in the submitted routines, while Project Voldemort and Apache Cassandra perform poorly than other databases.