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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Vydáno v:	IEEE transactions on parallel and distributed systems Ročník 32; číslo 11; s. 2793 - 2808
Hlavní autoři:	Fan, Weibei, Xiao, Fu, Chen, Xiaobai, Cui, Lei, Yu, Shui
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	New York IEEE 01.11.2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	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
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Abstract	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.
AbstractList	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.
Author	Yu, Shui Chen, Xiaobai Cui, Lei Xiao, Fu Fan, Weibei
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SubjectTerms	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
Title	Efficient Virtual Network Embedding of Cloud-Based Data Center Networks into Optical Networks
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