CLC number: TP393
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 2016-06-09
Cited: 5
Clicked: 9480
Gang Xiong, Yu-xiang Hu, Le Tian, Ju-long Lan, Jun-fei Li, Qiao Zhou. A virtual service placement approach based on improved quantum genetic algorithm[J]. Frontiers of Information Technology & Electronic Engineering, 2016, 17(7): 661-671.
@article{title="A virtual service placement approach based on improved quantum genetic algorithm",
author="Gang Xiong, Yu-xiang Hu, Le Tian, Ju-long Lan, Jun-fei Li, Qiao Zhou",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="17",
number="7",
pages="661-671",
year="2016",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1500494"
}
%0 Journal Article
%T A virtual service placement approach based on improved quantum genetic algorithm
%A Gang Xiong
%A Yu-xiang Hu
%A Le Tian
%A Ju-long Lan
%A Jun-fei Li
%A Qiao Zhou
%J Frontiers of Information Technology & Electronic Engineering
%V 17
%N 7
%P 661-671
%@ 2095-9184
%D 2016
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1500494
TY - JOUR
T1 - A virtual service placement approach based on improved quantum genetic algorithm
A1 - Gang Xiong
A1 - Yu-xiang Hu
A1 - Le Tian
A1 - Ju-long Lan
A1 - Jun-fei Li
A1 - Qiao Zhou
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 17
IS - 7
SP - 661
EP - 671
%@ 2095-9184
Y1 - 2016
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1500494
Abstract: Despite the critical role that middleboxes play in introducing new network functionality, management and innovation of them are still severe challenges for network operators, since traditional middleboxes based on hardware lack service flexibility and scalability. Recently, though new networking technologies, such as network function virtualization (NFV) and software-defined networking (SDN), are considered as very promising drivers to design cost-efficient middlebox service architectures, how to guarantee transmission efficiency has drawn little attention under the condition of adding virtual service process for traffic. Therefore, we focus on the service deployment problem to reduce the transport delay in the network with a combination of NFV and SDN. First, a framework is designed for service placement decision, and an integer linear programming model is proposed to resolve the service placement and minimize the network transport delay. Then a heuristic solution is designed based on the improved quantum genetic algorithm. Experimental results show that our proposed method can calculate automatically the optimal placement schemes. Our scheme can achieve lower overall transport delay for a network compared with other schemes and reduce 30% of the average traffic transport delay compared with the random placement scheme.
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