Revolutionizing U.S. data centers and telecommunications infrastructure with advanced fiber optic technologies
1 MBA in SAP ERP and Data Analytics, Maharishi International University, Iowa, USA.
2 Masters of Science in Computer Science, Makerere University, Kampala, Uganda.
3 Masters of Science in Computer Science, Maharishi International University, Iowa, USA.
Research Article
World Journal of Advanced Research and Reviews, 2024, 23(03), 022–033
Publication history:
Received on 22 July 2024; revised on 29 August 2024; accepted on 31 August 2024
Abstract:
In today's fast-paced digital age, data centers play a crucial role in supporting essential internet operations such as cloud computing, artificial intelligence (AI), and machine learning (ML). As these technologies become more complex and widespread, the need for faster, more efficient, and environmentally sustainable digital infrastructures grows. It's increasingly important to incorporate advanced optical network technologies early in data center projects. Data center interconnects turned to optical technologies almost a decade ago, and the recent acceleration in data center requirements is expected to further drive fiber optic technologies deeper into the systems architecture. This paper analyses the role of advanced fiber optic technologies in the revolutionary journey of U.S. Data Centers and Technologies. It critically studies the existing data center infrastructure to unearth the challenges and opportunities and proposes the use of advanced fiber optic technologies in data centers to increase efficiency, security and sustainability which is a critical issue for investors. The proposition is in line with the US national interest by expanding and securing the data infrastructure thereby bolstering economic growth through the creation of skilled job opportunities fostering a robust labor market in telecommunications and maintaining the US as a leader in technological advancements.
Keywords:
Cybersecurity; Data Centers; Fiber Optic Technologies; infrastructure; Digital infrastructure; Artificial Intelligence (AI); Machine Learning (ML)
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Copyright information:
Copyright © 2024 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0