Cloud Infrastructure Strategies for the Entertainment and Media Sector: Building Resilient Platforms for Digital Entertainment Ecosystems
DOI:
https://doi.org/10.22399/ijcesen.4503Keywords:
Cloud Infrastructure,, Entertainment Platforms, Content Delivery Networks, Fault Tolerance Systems, Disaster Recovery SolutionsAbstract
Cloud infrastructure has revolutionized the entertainment and media industries in their very essence, supporting the aspects of content distribution, audience interaction, and digital monetization at levels that were not possible earlier. Modern entertainment systems face novel operational issues associated with the extreme volatility of traffic, multi-format content delivery requirements, and system consistency during peak consumption periods. They must support real-time streaming with low processing latency, cater to many users at once in different parts of the world, and provide stable performance despite temporal variations in demand. Complex architectural patterns that include multi-region deployment, content delivery networks, and event-driven microservices have come to represent vital underpinnings for designing fault-resistant entertainment platforms. Advanced caching techniques running over multiple layers of architecture tune content delivery, while auto-scaling provides dynamic reallocation of resources with varying patterns of demand. Load balancing techniques provide traffic distribution across distributed pieces of infrastructure, ensuring efficient use of resources without compromising quality of service. Fault tolerance strategies based on temporary architecture configuration help maintain functional states in the event of component failure or unexpected disruptions. Cloud-based disaster recovery plans provide end-to-end backup, restore, and business continuity features that are essential to operations that generate revenue. System efficiency is dramatically improved by performance optimization methods such as machine learning-based content prediction, dynamic adaptive streaming protocols, and hierarchical resource utilization models. These technology innovations collectively allow entertainment platforms to offer dependable, high-performance digital experiences while addressing infrastructure complexity and operational expense constraints effectively.
References
[1] Adrian-Tiberiu Costin et al., "A Real-Time Streaming System for Customized Network Traffic Capture", MDPI, 2023. Available: https://www.mdpi.com/1424-8220/23/14/6467
[2] M. Sasikumar et al., "A Hierarchical Optimized Resource Utilization based Content Placement (HORCP) model for cloud Content Delivery Networks (CDNs)", Springer Open - Journal of Cloud Computing IEEE Cloud Computing, 2023. Available: https://journalofcloudcomputing.springeropen.com/articles/10.1186/s13677-023-00519-2
[3] Haitao Liu et al., "An Optimization Method of Large-Scale Video Stream Concurrent Transmission for Edge Computing", MDPI, 2023. Available: https://www.mdpi.com/2227-7390/11/12/2622
[4] Julia Velkova and Jean-Christophe Plantin, "Data centers and the infrastructural temporalities of digital media: An introduction", Sage Journals, 2023. Available: Data centers and the infrastructural temporalities of digital media: An introduction - Julia Velkova, Jean-Christophe Plantin, 2023
[5] Piyush Dhar Diwan, "Multi-Region Networking and Global Traffic Management for AWS", International Journal of Network and Communication Research, Apr. 2025. Available: Multi-Region-Networking.pdf
[6] George Thomas, "Microservices and event-driven architecture: Revolutionizing e-commerce systems", WJARR, May 2025. Available: https://journalwjarr.com/sites/default/files/fulltext_pdf/WJARR-2025-1663.pdf
[7] Minseok Choi et al., "Caching, transcoding, delivery, and learning for advanced video streaming services", ScienceDirect, 2024. Available: https://www.sciencedirect.com/science/article/pii/S2405959524000626
[8] Jvr Ravinda et al., "A Dynamic Scalable Auto-Scaling Model as a Load Balancer in the Cloud Computing Environment", ResearchGate, 2023. Available: https://www.researchgate.net/publication/372353970_A_Dynamic_Scalable_Auto-Scaling_Model_as_a_Load_Balancer_in_the_Cloud_Computing_Environment
[9] Francisco Henrique Cerdeira Ferreira et al., "A framework for the design of fault-tolerant systems-of-systems", ScienceDirect, 2024. Available: https://www.sciencedirect.com/science/article/abs/pii/S0164121224000530
[10] Aggidi Sathya and Bhuvana, "Cloud Disaster Recovery Management and Business Continuity", IRJMETS, 2024. Available: https://www.irjmets.com/uploadedfiles/paper//issue_5_may_2024/57003/final/fin_irjmets1716312021.pdf
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 International Journal of Computational and Experimental Science and Engineering

This work is licensed under a Creative Commons Attribution 4.0 International License.