Physical-layer adaptive resource allocation in software-defined data center networks

With the deep physical-layer programmability enabled by software-defined networking (SDN), it is now feasible to realize optical data center transceivers that adapt their transmission parameters in response to timevarying traffic demand and signal quality conditions. In this paper, we develop a cros...

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Vydáno v:Journal of optical communications and networking Ročník 10; číslo 12; s. 1015 - 1026
Hlavní autoři: Mingwei Yang, Rastegarfar, Houman, Djordjevic, Ivan B.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway Optica Publishing Group 01.12.2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Adaptation
Adaptive modulation and coding; Data center
Codes
Computer centers
Data centers
Encoding
Modulation
Optical fiber networks
Optical pulses
Optical switches
Preamble encoding
Pulse amplitude modulation
Pulse amplitude modulation (PAM)
Resource allocation
Signal quality
Signal to noise ratio
Software
Software-defined networking
Software-defined networking (SDN)
Switching theory
Synchronism
Transceivers
Wavelength routeing
Wavelength routing
ISSN:1943-0620, 1943-0639
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Popis
Shrnutí:With the deep physical-layer programmability enabled by software-defined networking (SDN), it is now feasible to realize optical data center transceivers that adapt their transmission parameters in response to timevarying traffic demand and signal quality conditions. In this paper, we develop a cross-layer performance tuning framework for wavelength-tunable data center transceivers, combining scalable and secure modulation order and code rate adaptation. We develop new physical-layer control modules and combine SDN control with distributed preamble encoding in order to achieve both rate adaptation and node synchronization in a wavelength-routing data center testbed. Our experimental and theoretical studies based on pulse amplitude modulation and low-density parity-check coding point to the significance of joint modulation order and code-rate adaptation in data centers. We report real-time resource adaptation with switching speeds on the order of hundreds of milliseconds.
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ISSN:1943-0620
1943-0639
DOI:10.1364/JOCN.10.001015