Efficient Virtual Network Embedding of Cloud-Based Data Center Networks into Optical Networks

The demand for data center bandwidth has exploded due to the continuous development of cloud computing, causing the use of network resources close to saturation. Optical network has become an encouraging technology for many burgeoning networks and parallel/distributed computing applications because...

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Bibliographic Details
Published in:IEEE transactions on parallel and distributed systems Vol. 32; no. 11; pp. 2793 - 2808
Main Authors: Fan, Weibei, Xiao, Fu, Chen, Xiaobai, Cui, Lei, Yu, Shui
Format: Journal Article
Language:English
Published: New York IEEE 01.11.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Approximation algorithms
Bandwidth
Cloud computing
Computer centers
Computer networks
Data center network
Data centers
Distributed processing
Embedding
Heuristic algorithms
Lower bounds
Multicast algorithms
Network topologies
network virtualization
Optical communication
Optical fiber networks
Optical fibers
optical network
Optical sensors
performance evaluation
Virtual networks
ISSN:1045-9219, 1558-2183
Online Access:Get full text
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Summary:The demand for data center bandwidth has exploded due to the continuous development of cloud computing, causing the use of network resources close to saturation. Optical network has become an encouraging technology for many burgeoning networks and parallel/distributed computing applications because of its huge bandwidth. This article focuses on efficient embedding of data centers into optical networks, which aims to reduce complexity of the network topology by using the parallel transmission characteristics of optical fiber. We first present a novel virtual network embedding (VNE) mathematical model used for optical data center networks. Then we derive a priority of location VNE algorithm according to node proximity sensing and path comprehensive evaluation. Furthermore, we propose routing and wavelength assignment for DCNs into optical networks, and identify the lower bound of the required number of wavelengths. Extensive evaluations show that the proposed embedding algorithm can reduce the average waiting time of virtual network requests by 20 percent, increase the request acceptance rate and revenue-overhead ratio by 13 percent, as compared to the latest VNE algorithm.
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ISSN:1045-9219
1558-2183
DOI:10.1109/TPDS.2021.3075296