Green Computing Optimization for Multi-Region Streaming Platforms
Sravya Sambaturu
Sravya Sambaturu, DevOps, IT Industry, Hyderabad (Telangana), India.
Manuscript received on 17 December 2024 | First Revised Manuscript received on 25 December 2024 | Second Revised Manuscript received on 03 January 2025 | Manuscript Accepted on 15 January 2025 | Manuscript published on 30 January 2025 | PP: 27-29 | Volume-13 Issue-2, January 2025 | Retrieval Number: 100.1/ijese.F365314060125 | DOI: 10.35940/ijese.F3653.13020125
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Global streaming services are always under pressure to control their resource usage effectively while still offering millions of users worldwide flawless experiences. As user demands for continuous, high-quality content increase, it is becoming increasingly important to strike the right balance between low latency, high availability, and resource efficiency. However, the infrastructure required to meet these demands often results in significant energy consumption and operational costs, presenting a major challenge for sustainability. The application of green computing principles to multi-region cloud infrastructure optimization is examined in this article, with an emphasis on tactics that minimize energy consumption and operational costs without compromising the performance that users rely on. Platforms can preserve their competitive advantage while making significant progress toward environmental responsibility by implementing more intelligent, energy-efficient procedures.
Keywords: Cloud Infrastructure, Energy Efficiency, Green Computing, Resource Optimization.
Scope of the Article: Computer Science and Applications