Cloud-Based Solutions for Video Streaming and Big Data Testing

Viharika Bhimanapati; Shalu Jain; Om Goel

doi:10.36676/urr.v10.i4.1333

Authors

Viharika Bhimanapati Independent Researcher, H.No. 22-803 Wp, Vinayala Hills, Almasguda, Hyderabad, Telangana - 500058
Shalu Jain Reserach Scholar, Maharaja Agrasen Himalayan Garhwal University, Pauri Garhwal, Uttarakhand
Om Goel Independent Researcher, Abes Engineering College

DOI:

https://doi.org/10.36676/urr.v10.i4.1333

Keywords:

Cloud-based solutions, video streaming, big data testing, scalability, performance optimization, content delivery networks

Abstract

In the era of digital transformation, cloud-based solutions have revolutionized the video streaming industry and big data testing methodologies. As consumer demand for high-quality, on-demand video content surges, traditional on-premises infrastructure often falls short in meeting scalability, performance, and cost-efficiency requirements. Cloud-based platforms, with their scalable resources and flexibility, have become essential in addressing these challenges. This paper explores the benefits and implementation strategies of cloud-based solutions for video streaming and big data testing, focusing on how these technologies enhance performance, scalability, and cost-effectiveness Video streaming services require a robust infrastructure capable of handling large volumes of data and delivering seamless user experiences across diverse devices and network conditions. Cloud-based video streaming solutions offer several advantages, including the ability to dynamically scale resources based on user demand, optimize content delivery through content delivery networks (CDNs), and provide a global reach without the need for extensive physical infrastructure. By leveraging cloud services, streaming platforms can reduce latency, enhance video quality, and improve overall user satisfaction. Traditional testing methods often struggle to cope with the complexity and volume of big data. Cloud-based testing platforms provide scalable environments where testers can simulate various data scenarios, execute performance tests, and analyze results with greater efficiency. The cloud's elasticity allows for on-demand provisioning of testing resources, making it easier to handle the dynamic nature of big data and conduct comprehensive testing without investing in expensive hardware.

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