Large-Scale Multimedia Communication on A Cloud Computing Platform

Abstract

Abstract: This research examines the creation of a multimedia communication platform to expand the size of multimedia communication based on cloud computing (CC). The research focuses on high-quality material, multimedia profit avenues, and copyright awareness. Big data diversion under cloud computing optimizes data grouping and pattern identification. Cloud computing's typical large data shunting technology uses open-source embedded system architecture. The connecting coil ties the shunting system's switch to the cloud computing platform's switch, resulting in data loss and corruption. Using this method, it has been shown that CC cannot reach the ideal resource utilization, SLA violation rate, and energy use. Experiments reveal a divergence from this research. The major goal of media development is now the growth and self-awareness of media. Largescale multimedia communication needs an architecture for cloud computing with dynamic growth, efficient processing, and flexible resource scheduling