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Deterministic Dynamic Networks (DDN)

delete2019-07-15
delete24
PRE
AI
N
Nihel Benzaoui *
M
Mijail Szczerban Gonzalez
J
José Estarán
H
H. Mardoyan
W
Wolfram Lautenschlaeger
U
Ulrich Gebhard
L
Lars Dembeck
S
S. Bigo
Y
Yvan Pointurier
DOI:10.1109/JLT.2019.2917280delete
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Abstract

Abstract

En 中文
Today's network infrastructure evolves into two seemingly opposite directions: cloudification centralizes functions that used to be distributed for economies of scale, at the expense of latency, while latency-constrained applications are surging. This calls for a new architecture capable of distributed computing: The Edge Cloud network. Future 5C applications will impose strict latency and dynamicity requirements on the Edge Cloud, in intra-and inter-data center networks. The Edge Cloud needs a network infrastructure able to deliver: low latency (similar to microseconds), deterministic data delivery in time (similar to nanoseconds jitter), and dynamic reconfiguration (similar to dmilliseconds) between objects (antennas, robots) in data centers or across data centers, through a fronthaul network. In this paper, we propose, implement, and demonstrate a deterministic dynamic network based Edge Cloud network. On a real-time testbed, we achieve network slicing, low, deterministic latency of only tens of microseconds per-application (per-flow), when competing technologies cannot provide per-flow guarantee. We also show that the network can be dynamically reconfigured at the millisecond timescale.
Keywords:
5G
data center
deterministic network
edge cloud
end-to-end performance
industry 4.0
jitter
latency
quality of service guarantee
slicing
time slot network
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Journal

Journal of Lightwave Technology cover
Journal of Lightwave Technology
IF:
4.8
Papers:
1.7W
Citations:
3.8W

Organization

N
nokia corporation
Scholars:
1.8K
Papers: 1.5K
Citations: 1