Gao, X;
Liu, R;
Kaushik, A;
(2021)
An Energy Efficient Approach for Service Chaining Placement in Satellite Ground Station Networks.
In:
Proceedings of the 2021 International Wireless Communications and Mobile Computing (IWCMC).
(pp. pp. 217-222).
IEEE: Harbin City, China.
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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.
| Type: | Proceedings paper |
|---|---|
| Title: | An Energy Efficient Approach for Service Chaining Placement in Satellite Ground Station Networks |
| Event: | 2021 International Wireless Communications and Mobile Computing (IWCMC) |
| Location: | Harbin, China |
| Dates: | 28 June 2021 - 02 July 2021 |
| ISBN-13: | 978-1-7281-8616-0 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/IWCMC51323.2021.9498687 |
| Publisher version: | https://doi.org/10.1109/IWCMC51323.2021.9498687 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| Keywords: | Energy optimization, service chaining, virtual network function, satellite ground station, Greedy, Fat-Tree |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
| URI: | https://discovery-pp.ucl.ac.uk/id/eprint/10125359 |
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