2026-09-18T23:58:09Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/1556422024-07-11T03:01:09Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Cusumano, Michael A.
Numa, Kentaro
System Design and Management Program.
2024-07-10T20:21:20Z
2024-07-10T20:21:20Z
2024-05
2024-06-11T19:52:28.355Z
https://hdl.handle.net/1721.1/155642
This thesis investigates the rapid evolution of technology in response to surging internet traffic, projected to increase from 33 zettabytes in 2018 to 175 zettabytes by 2025, and data processing demands, anticipated to exceed 180 zettabytes by the same year. The escalating requirements for more robust communication and data processing systems are emphasized, especially as AI advances necessitate substantial computational resources, increasing energy consumption. This highlights the challenges of enhancing performance while maintaining energy efficiency, suggesting the limits of Moore's Law and Dennard scaling. The thesis explores the adoption of silicon photonics as a significant innovation, shifting from electrical to optical signals, particularly within Nippon Telegraph and Telephone Public Corporation (NTT)'s Innovative Optical and Wireless Network (IOWN) initiative. It analyzes the strategic, operational, and market engagement approaches of NTT, focusing on competitive threats, potential collaborations, and strategies to foster third-party development. The conclusion underscores NTT’s potential to transform telecommunications and data processing through photonics and AI technologies.
S.M.
Massachusetts Institute of Technology
In Copyright - Educational Use Permitted
Copyright retained by author(s)
https://rightsstatements.org/page/InC-EDU/1.0/
Assessing Photoelectric Fusion Technologies: Market Potential and Strategic Insights from NTT's IOWN Case
Thesis
application/pdf
Master
Master of Science in Engineering and Management
Publication
unknown
unknown
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<Abstract>This thesis investigates the rapid evolution of technology in response to surging internet traffic, projected to increase from 33 zettabytes in 2018 to 175 zettabytes by 2025, and data processing demands, anticipated to exceed 180 zettabytes by the same year. The escalating requirements for more robust communication and data processing systems are emphasized, especially as AI advances necessitate substantial computational resources, increasing energy consumption. This highlights the challenges of enhancing performance while maintaining energy efficiency, suggesting the limits of Moore's Law and Dennard scaling. The thesis explores the adoption of silicon photonics as a significant innovation, shifting from electrical to optical signals, particularly within Nippon Telegraph and Telephone Public Corporation (NTT)'s Innovative Optical and Wireless Network (IOWN) initiative. It analyzes the strategic, operational, and market engagement approaches of NTT, focusing on competitive threats, potential collaborations, and strategies to foster third-party development. The conclusion underscores NTT’s potential to transform telecommunications and data processing through photonics and AI technologies.</Abstract>
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