An Energy Efficient Approach for Service Chaining Placement in Satellite Ground Station Networks

Xiangqiang Gao; Rongke Liu; Aryan Kaushik

doi:10.1109/IWCMC51323.2021.9498687

An Energy Efficient Approach for Service Chaining Placement in Satellite Ground Station Networks

Xiangqiang Gao
, Rongke Liu
, Aryan Kaushik

School of Electronic and Information Engineering

Beihang University
University College London

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Scopus citations

Abstract

In this paper, we investigate the service chaining placement problem for user requests in satellite ground station networks with minimum energy cost, which consists of server energy, switch energy, and link energy. We build the Server-Switch-Link energy model and formulate the energy optimization problem as an integer nonlinear programming problem. To address this problem, we implement a prediction-aided Greedy (PA-Greedy) algorithm depending on satellite mission planning in satellite control centers. We conduct the experiments to evaluate the proposed energy model and PA-Greedy algorithm in Fat-Tree networks, and compare the performance with the baseline Greedy algorithm and two energy models of Server-Link and Server. In a Fat-Tree network with 16 servers, the proposed Server-Switch-Link energy model with the PA-Greedy algorithm can reduce energy consumption by 17.28% when compared with the baseline Greedy algorithm, and outperform these Server-Link and Server energy models by 47.10% and 62.91%, respectively.

Original language	English
Title of host publication	2021 International Wireless Communications and Mobile Computing, IWCMC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	217-222
Number of pages	6
ISBN (Electronic)	9781728186160
DOIs	https://doi.org/10.1109/IWCMC51323.2021.9498687
State	Published - 2021
Event	17th IEEE International Wireless Communications and Mobile Computing, IWCMC 2021 - Virtual, Online, China Duration: 28 Jun 2021 → 2 Jul 2021

Publication series

Name	2021 International Wireless Communications and Mobile Computing, IWCMC 2021

Conference

Conference	17th IEEE International Wireless Communications and Mobile Computing, IWCMC 2021
Country/Territory	China
City	Virtual, Online
Period	28/06/21 → 2/07/21

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

Energy optimization
Fat-Tree
Greedy
Satellite ground station
Service chaining
Virtual network function

Access to Document

10.1109/IWCMC51323.2021.9498687

Cite this

Gao, X., Liu, R., & Kaushik, A. (2021). An Energy Efficient Approach for Service Chaining Placement in Satellite Ground Station Networks. In 2021 International Wireless Communications and Mobile Computing, IWCMC 2021 (pp. 217-222). (2021 International Wireless Communications and Mobile Computing, IWCMC 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IWCMC51323.2021.9498687

Gao, Xiangqiang ; Liu, Rongke ; Kaushik, Aryan. / An Energy Efficient Approach for Service Chaining Placement in Satellite Ground Station Networks. 2021 International Wireless Communications and Mobile Computing, IWCMC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. pp. 217-222 (2021 International Wireless Communications and Mobile Computing, IWCMC 2021).

@inproceedings{5ca9f3ebb164454d94214cf9585efa10,

title = "An Energy Efficient Approach for Service Chaining Placement in Satellite Ground Station Networks",

abstract = "In this paper, we investigate the service chaining placement problem for user requests in satellite ground station networks with minimum energy cost, which consists of server energy, switch energy, and link energy. We build the Server-Switch-Link energy model and formulate the energy optimization problem as an integer nonlinear programming problem. To address this problem, we implement a prediction-aided Greedy (PA-Greedy) algorithm depending on satellite mission planning in satellite control centers. We conduct the experiments to evaluate the proposed energy model and PA-Greedy algorithm in Fat-Tree networks, and compare the performance with the baseline Greedy algorithm and two energy models of Server-Link and Server. In a Fat-Tree network with 16 servers, the proposed Server-Switch-Link energy model with the PA-Greedy algorithm can reduce energy consumption by 17.28\% when compared with the baseline Greedy algorithm, and outperform these Server-Link and Server energy models by 47.10\% and 62.91\%, respectively.",

keywords = "Energy optimization, Fat-Tree, Greedy, Satellite ground station, Service chaining, Virtual network function",

author = "Xiangqiang Gao and Rongke Liu and Aryan Kaushik",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE; 17th IEEE International Wireless Communications and Mobile Computing, IWCMC 2021 ; Conference date: 28-06-2021 Through 02-07-2021",

year = "2021",

doi = "10.1109/IWCMC51323.2021.9498687",

language = "英语",

series = "2021 International Wireless Communications and Mobile Computing, IWCMC 2021",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "217--222",

booktitle = "2021 International Wireless Communications and Mobile Computing, IWCMC 2021",

address = "美国",

}

Gao, X, Liu, R & Kaushik, A 2021, An Energy Efficient Approach for Service Chaining Placement in Satellite Ground Station Networks. in 2021 International Wireless Communications and Mobile Computing, IWCMC 2021. 2021 International Wireless Communications and Mobile Computing, IWCMC 2021, Institute of Electrical and Electronics Engineers Inc., pp. 217-222, 17th IEEE International Wireless Communications and Mobile Computing, IWCMC 2021, Virtual, Online, China, 28/06/21. https://doi.org/10.1109/IWCMC51323.2021.9498687

An Energy Efficient Approach for Service Chaining Placement in Satellite Ground Station Networks. / Gao, Xiangqiang; Liu, Rongke; Kaushik, Aryan.
2021 International Wireless Communications and Mobile Computing, IWCMC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 217-222 (2021 International Wireless Communications and Mobile Computing, IWCMC 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An Energy Efficient Approach for Service Chaining Placement in Satellite Ground Station Networks

AU - Gao, Xiangqiang

AU - Liu, Rongke

AU - Kaushik, Aryan

PY - 2021

Y1 - 2021

N2 - In this paper, we investigate the service chaining placement problem for user requests in satellite ground station networks with minimum energy cost, which consists of server energy, switch energy, and link energy. We build the Server-Switch-Link energy model and formulate the energy optimization problem as an integer nonlinear programming problem. To address this problem, we implement a prediction-aided Greedy (PA-Greedy) algorithm depending on satellite mission planning in satellite control centers. We conduct the experiments to evaluate the proposed energy model and PA-Greedy algorithm in Fat-Tree networks, and compare the performance with the baseline Greedy algorithm and two energy models of Server-Link and Server. In a Fat-Tree network with 16 servers, the proposed Server-Switch-Link energy model with the PA-Greedy algorithm can reduce energy consumption by 17.28% when compared with the baseline Greedy algorithm, and outperform these Server-Link and Server energy models by 47.10% and 62.91%, respectively.

AB - In this paper, we investigate the service chaining placement problem for user requests in satellite ground station networks with minimum energy cost, which consists of server energy, switch energy, and link energy. We build the Server-Switch-Link energy model and formulate the energy optimization problem as an integer nonlinear programming problem. To address this problem, we implement a prediction-aided Greedy (PA-Greedy) algorithm depending on satellite mission planning in satellite control centers. We conduct the experiments to evaluate the proposed energy model and PA-Greedy algorithm in Fat-Tree networks, and compare the performance with the baseline Greedy algorithm and two energy models of Server-Link and Server. In a Fat-Tree network with 16 servers, the proposed Server-Switch-Link energy model with the PA-Greedy algorithm can reduce energy consumption by 17.28% when compared with the baseline Greedy algorithm, and outperform these Server-Link and Server energy models by 47.10% and 62.91%, respectively.

KW - Energy optimization

KW - Fat-Tree

KW - Greedy

KW - Satellite ground station

KW - Service chaining

KW - Virtual network function

UR - https://www.scopus.com/pages/publications/85125658580

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DO - 10.1109/IWCMC51323.2021.9498687

M3 - 会议稿件

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T3 - 2021 International Wireless Communications and Mobile Computing, IWCMC 2021

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BT - 2021 International Wireless Communications and Mobile Computing, IWCMC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 17th IEEE International Wireless Communications and Mobile Computing, IWCMC 2021

Y2 - 28 June 2021 through 2 July 2021

ER -

Gao X, Liu R, Kaushik A. An Energy Efficient Approach for Service Chaining Placement in Satellite Ground Station Networks. In 2021 International Wireless Communications and Mobile Computing, IWCMC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 217-222. (2021 International Wireless Communications and Mobile Computing, IWCMC 2021). doi: 10.1109/IWCMC51323.2021.9498687

An Energy Efficient Approach for Service Chaining Placement in Satellite Ground Station Networks

Abstract

Publication series

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UN SDGs

Keywords

Access to Document

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