Multi-priority Based Joint Optimization Algorithm of Virtual Network Function Migration Cost and Network Energy Consumption

Lun TANG; Heng YANG; Runlin MA; Qianbin CHEN

doi:10.11999/JEIT180906

Volume 41 Issue 9

Sep. 2019

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Article Navigation > Journal of Electronics & Information Technology > 2019 > 41(9): 2079-2086

Lun TANG, Heng YANG, Runlin MA, Qianbin CHEN. Multi-priority Based Joint Optimization Algorithm of Virtual Network Function Migration Cost and Network Energy Consumption[J]. Journal of Electronics & Information Technology, 2019, 41(9): 2079-2086. doi: 10.11999/JEIT180906

Citation:

Lun TANG, Heng YANG, Runlin MA, Qianbin CHEN. Multi-priority Based Joint Optimization Algorithm of Virtual Network Function Migration Cost and Network Energy Consumption[J]. Journal of Electronics & Information Technology, 2019, 41(9): 2079-2086. doi: 10.11999/JEIT180906

Citation:

Lun TANG, Heng YANG, Runlin MA, Qianbin CHEN. Multi-priority Based Joint Optimization Algorithm of Virtual Network Function Migration Cost and Network Energy Consumption[J]. Journal of Electronics & Information Technology, 2019, 41(9): 2079-2086. doi: 10.11999/JEIT180906

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Multi-priority Based Joint Optimization Algorithm of Virtual Network Function Migration Cost and Network Energy Consumption

doi: 10.11999/JEIT180906

1.
School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
2.
Key Laboratory of Mobile Communication Technology, Chongqing University of Post and Telecommunications, Chongqing 400065, China

Funds: The National Natural Science Foundation of China (61571073), The Science and Technology Research Program of Chongqing Municipal Education Commission (KJZD-M201800601)

Received Date: 2018-09-20
Rev Recd Date: 2019-03-06

Available Online: 2019-04-01

Publish Date: 2019-09-10

Abstract

Abstract

After the Virtual Network Function (VNF) in the 5G access network is deployed, the resource requirements are dynamically changed, resulting in the problem that the Physical Machine (PM) resource utilization in the network is too high or too low. To solve the above problem, the resource usage of PM in the network is divided into five different partitions, and a multi-priority VNF migration request queue scheduling model is proposed. Secondly, based on the model, a joint optimization model is established to minimize the VNF migration cost and minimize the network energy consumption. Finally, a multi-priority VNF migration cost and network energy joint optimization algorithm based on 5G access network is presented to solve the above model. The simulation results show that the algorithm can effectively improve the PM resources utilization, ensure the PM performance and balance the PM load while effectively realizing a compromise between VNF migration cost and network energy consumption.
- 5G access network,
- Virtual Network Function (VNF),
- Migration cost,
- Network energy consumption

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References(13)

References

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