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Volume 41 Issue 2
Jan.  2019
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Hongqi ZHANG, Rui HUANG, Dexian CHANG. A Collaborative Mapping Method for Service Chain Based on Matching Game[J]. Journal of Electronics & Information Technology, 2019, 41(2): 385-393. doi: 10.11999/JEIT180385
Citation: Hongqi ZHANG, Rui HUANG, Dexian CHANG. A Collaborative Mapping Method for Service Chain Based on Matching Game[J]. Journal of Electronics & Information Technology, 2019, 41(2): 385-393. doi: 10.11999/JEIT180385

A Collaborative Mapping Method for Service Chain Based on Matching Game

doi: 10.11999/JEIT180385
Funds:  The National 863 Program of China (2012AA012704), The Zhengzhou Science and Technology Talents Project (131PLJRC644)
  • Received Date: 2018-04-25
  • Rev Recd Date: 2018-09-11
  • Available Online: 2018-09-25
  • Publish Date: 2019-02-01
  • Considering that it is difficult to balance efficiency and resource utilization of Service Chain (SC) mapping problem in Software Defined Network (SDN)/Network Function Virtualization (NFV) environment, this paper proposes a collaborative mapping method for SC based on matching game. Firstly, it defines a SC mapping model named MUSCM to maximize the utility of network resources. Secondly, it divides the SC mapping problem into Virtual Network Function (VNF) deployment and connection parts. As for the VNF deployment part, an algorithm is designed to collaborate the selection of the SC and the service node based on many-to-one matching game, improving the mapping efficiency of SC and utilization of physical resource effectively. On the basis of it, an algorithm is designed based on segment routing strategy to accomplish the traffic steering between VNF instances to finish the VNF connection part, reducing the link transmission delay effectively. The experiment result shows that, compared with the classical algorithm, this algorithm ensures the mapping request received rate, and at the same time, it reduces the average transmission delay of the service chain and improves the physical resources utilization of the system effectively.

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