Smart Media Video Cloud Technology in News Communication

Abstract

Cloud technology revolutionizes the way businesses and individuals store, access, and manage data and applications. It involves the use of remote servers hosted on the internet to store and process information, providing on-demand computing resources. With the cloud, users can access their data and applications from anywhere with an internet connection, fostering increased collaboration, flexibility, and scalability. This research explores the convergence of smart media video cloud technology and news communication, introducing a novel framework named Big Data Analytics Parallel Edge Computing with ECC (PEC-ECC). With the proliferation of video content in news dissemination, there is a growing need for innovative technologies to enhance efficiency, security, and accessibility. PEC-ECC integrates the power of big data analytics, parallel edge computing, and error-correcting code mechanisms to optimize video processing and delivery. This framework not only addresses the challenges of data volume and computational speed but also ensures the integrity and security of transmitted content. By leveraging edge computing capabilities, PEC-ECC minimizes latency, making real-time news communication more responsive and reliable. This research contributes to the advancement of smart media technology, offering a robust solution to elevate the quality and effectiveness of video-based news communication in the era of digital journalism.