Scheduling Strategy of Aviation Information Network Service Function Chain Requirements

被引：0

作者：

Cao, Dai ^{[1
]}

Zhan, Siyu ^{[2
]}

Hao, Xinsheng ^{[3
]}

Guan, Kai ^{[4
]}

Fu, Haotong ^{[3
]}

机构：

[1] School of Communication and Information Engineering, University of Electronic Science and Technology of China, Sichuan, Chengdu

[2] Intelligent Computer Research Institute, University of Electronic Science and Technology of China, Sichuan, Chengdu

[3] Unit 93303 of PLA, Liaoning, Shenyang

[4] Unit 95859 of PLA, Gansu, Jiuquan

来源：

Binggong Xuebao/Acta Armamentarii | 2024年 / 45卷 / 07期

关键词：

aviation information network; network function instance; network function virtualization; service function chain; service function chain requirement scheduling;

D O I：

10.12382/bgxb.2023.0258

中图分类号：

学科分类号：

摘要：

The low resource utilization efficiency may be caused by service burst, dynamic change of topology structure and limited resources in aviation information network (AIN) scenario. A service function chain scheduling algorithm for network function virtualization is proposed for the efficient scheduling of service function chain requirement (SFCR) . The algorithm is mapped according to the correlation between SFCR and the platform, thus improving the processing efficiency of server, effectively reducing the number of virtual network function (VNF) instantiations, and integrating the platform resources. In considering the impacts of delay and traffic, the network function instances are integrated and migrated to reduce the network energy consumption and improve the resource utilization. The simulated results show that the proposed approach has better optimization performance in terms of the number of running platfors, SFCR acceptance ratio, and the network resource consumption while guaranteeing the delay requirements, which is suitable for solving the SFCR scheduling problem in AIN scenarios. © 2024 China Ordnance Industry Corporation. All rights reserved.

引用

页码：2306 / 2317

页数：11

共 34 条

[1]

ZHAO S H, CHEN K F, L譈 N, Et al., Software defined airborne tactical network for aeronautic swarm (in Chinese), Journal on Communications, 38, 8, pp. 140-155, (2017)

[2]

CHENG B N, BLOCK F J, HAMILTON B R, Et al., Design considerations for next鄄generation airborne tactical networks[ J], IEEE Communications Magazine, 52, 5, pp. 138-145, (2014)

[3]

RAN J, WANG W K, HU H F., Dynamic service function chain deployment and readjustment method based on deep reinforcement learning[J], Sensors, 23, 6, (2023)

[4]

YI B, WANG X W, LI K Q, Et al., A comprehensive survey of network function virtualization [ J], Computer Networks, 133, pp. 212-262, (2018)

[5]

HAN B, GOPALAKRISHNAN V, JI L S, Et al., Network function virtualization: challenges and opportunities for innovations [ J], IEEE Communications Magazine, 53, 2, pp. 90-97, (2015)

[6]

FARACI G, SCHEMBRA G., An analytical model to design and manage a green SDN / NFV CPE node [ J], IEEE Transactions on Network and Service Management, 12, 3, pp. 435-450, (2015)

[7]

BHAMARE D, SAMAKA M, ERBAD A, Et al., Optimal virtual network function placement in multi鄄cloud service function chaining architecture, Computer Communications, 102, pp. 1-16, (2017)

[8]

WEN R H, FENG G, TAN W, Et al., Protocol function block mapping of software defined protocol for 5G mobile networks[J], IEEE Transactions on Mobile Computing, 17, 7, pp. 1651-1665, (2017)

[9]

HERRERA J G, BOTERO J F., Resource allocation in NFV:a comprehensive survey, IEEE Transactions on Network and Service Management, 13, 3, pp. 518-532, (2016)

[10]

ZHAO S, CHI X F, YU B Z, Et al., Service function chains deployment for 5G slice with bandwidth coupling, IEEE Communications Letters, 26, 10, pp. 2425-2429, (2022)

← 1 2 3 4 →