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Data preprocessing ...
Data preprocessing for machine-learning-based adaptive data center transmission
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- Keykhosravi, Kamran, 1990 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Hamednia, Ahad, 1990 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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Rastegarfar, Houman, 1983 (author)
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- Agrell, Erik, 1965 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- Elsevier BV, 2022
- 2022
- English.
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In: ICT Express. - : Elsevier BV. - 2405-9595. ; 8:1, s. 37-43
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Abstract
Subject headings
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- To enable optical interconnect fluidity in next-generation data centers, we propose adaptive transmission based on machine learning in a wavelength-routing network. We consider programmable transmitters that can apply N possible code rates to connections based on predicted bit error rate (BER) values. To classify the BER, we employ a preprocessing algorithm to feed the traffic data to a neural network classifier. We demonstrate the significance of our proposed preprocessing algorithm and the classifier performance for different values of N and switch port count.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Telekommunikation (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Telecommunications (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)
Keyword
- Data center network
- Neural network
- Adaptive transmission
Publication and Content Type
- art (subject category)
- ref (subject category)
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