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Cited by 470

The DOI matches its Crossref record; 37 of the 37 references it cites were found in a registry or an index.

From Scaling Disparities to Integrated Parallelism: A Decathlon for a Decade

Winzer, Peter J., Neilson, David T.·2017·Journal of Lightwave Technology

Abstract

Based on a variety of long-term network traffic data from different geographies and applications, in addition to long-term scaling trends of key information and communication technologies, we identify fundamental scaling disparities between the technologies used to generate and process data and those used to transport data. These disparities could lead to the data transport network falling behind its required capabilities by a factor of approximately 4 every five years. By 2024, we predict the need for 10-Tb/s optical interfaces working in 1-Pb/s optical transport systems. To satisfy these needs, multiplexing in both wavelength and space in the form of a wavelength-division multiplexing × space-division multiplexing matrix will be required. We estimate the characteristics of such systems and outline their target specifications, which reveals the need for very significant research progress in multiple areas, from system and network architectures to digital signal processing to integrated arrayed device designs, in order to avoid an optical network capacity crunch.

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Metadata

Authors
Winzer, P. J., & Neilson, D. T.
Venue
Journal of Lightwave Technology
Published
2017-03-01
Volume
35
Issue
5
Pages
1099-1115
ISSN
  • 0733-8724 (ISSN-L)
  • 1558-2213
OpenAlex
W2586950312
Cited by
470
References
37
FWCI
20.81
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: From Scaling Disparities to Integrated Parallelism: A Decathlon for a Decade. https://app.cochat.ai/papers/10.1109/jlt.2017.2662082
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Winzer, P. J., & Neilson, D. T. (2017). From Scaling Disparities to Integrated Parallelism: A Decathlon for a Decade. Journal of Lightwave Technology. https://doi.org/10.1109/jlt.2017.2662082

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.