Server Selection and Resource Allocation for Energy Minimization in Satellite Edge Computing

Weichen Zhu; Weichao Yang; Gongliang Liu

doi:10.1007/978-3-031-36014-5_12

Server Selection and Resource Allocation for Energy Minimization in Satellite Edge Computing

Weichen Zhu
, Weichao Yang
, Gongliang Liu^*

^*Corresponding author for this work

Harbin Institute of Technology Weihai
China Aerospace Science and Technology Corporation

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

1 Scopus citations

Abstract

In this paper we construct a double layer satellite network and let MEO satellites carry computing servers to execute computation tasks generated by LEO satellites. The main purpose is to find a task offloading scheme and resource allocation strategy to minimize the energy consumption of the dynamic network which is formulated as a mixed-integer programming problem. To solve it efficiency, we research a suboptimal resource allocation and computation offloading scheme. Specifically, the original problem is divided into three subproblems. The first subproblem is a convex problem which is easy to solve it. Then for the next subproblem, we propose a terminal satellites and edge satellites matching strategy (TEMS). For the last one, random adjustment execution algorithm is applied. Finally, the simulation results have be given to verify the effectiveness of proposed algorithm.

Original language	English
Title of host publication	6GN for Future Wireless Networks - 5th EAI International Conference, 6GN 2022, Proceedings
Editors	Ao Li, Liang Xi, Yao Shi
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	142-154
Number of pages	13
ISBN (Print)	9783031360138
DOIs	https://doi.org/10.1007/978-3-031-36014-5_12
State	Published - 2023
Externally published	Yes
Event	5th EAI International Conference on 6G for Future Wireless Networks, 6GN 2022 - Harbin, China Duration: 17 Dec 2022 → 18 Dec 2022

Publication series

Name	Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume	505 LNICST
ISSN (Print)	1867-8211
ISSN (Electronic)	1867-822X

Conference

Conference	5th EAI International Conference on 6G for Future Wireless Networks, 6GN 2022
Country/Territory	China
City	Harbin
Period	17/12/22 → 18/12/22

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

Resource allocation
computation offloading
dynamic satellite networks
edge computing

Access to Document

10.1007/978-3-031-36014-5_12

Cite this

Zhu, W., Yang, W., & Liu, G. (2023). Server Selection and Resource Allocation for Energy Minimization in Satellite Edge Computing. In A. Li, L. Xi, & Y. Shi (Eds.), 6GN for Future Wireless Networks - 5th EAI International Conference, 6GN 2022, Proceedings (pp. 142-154). (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 505 LNICST). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-36014-5_12

Zhu, Weichen ; Yang, Weichao ; Liu, Gongliang. / Server Selection and Resource Allocation for Energy Minimization in Satellite Edge Computing. 6GN for Future Wireless Networks - 5th EAI International Conference, 6GN 2022, Proceedings. editor / Ao Li ; Liang Xi ; Yao Shi. Springer Science and Business Media Deutschland GmbH, 2023. pp. 142-154 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST).

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abstract = "In this paper we construct a double layer satellite network and let MEO satellites carry computing servers to execute computation tasks generated by LEO satellites. The main purpose is to find a task offloading scheme and resource allocation strategy to minimize the energy consumption of the dynamic network which is formulated as a mixed-integer programming problem. To solve it efficiency, we research a suboptimal resource allocation and computation offloading scheme. Specifically, the original problem is divided into three subproblems. The first subproblem is a convex problem which is easy to solve it. Then for the next subproblem, we propose a terminal satellites and edge satellites matching strategy (TEMS). For the last one, random adjustment execution algorithm is applied. Finally, the simulation results have be given to verify the effectiveness of proposed algorithm.",

keywords = "Resource allocation, computation offloading, dynamic satellite networks, edge computing",

author = "Weichen Zhu and Weichao Yang and Gongliang Liu",

note = "Publisher Copyright: {\textcopyright} 2023, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.; 5th EAI International Conference on 6G for Future Wireless Networks, 6GN 2022 ; Conference date: 17-12-2022 Through 18-12-2022",

year = "2023",

doi = "10.1007/978-3-031-36014-5\_12",

language = "英语",

isbn = "9783031360138",

series = "Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST",

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Zhu, W, Yang, W & Liu, G 2023, Server Selection and Resource Allocation for Energy Minimization in Satellite Edge Computing. in A Li, L Xi & Y Shi (eds), 6GN for Future Wireless Networks - 5th EAI International Conference, 6GN 2022, Proceedings. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, vol. 505 LNICST, Springer Science and Business Media Deutschland GmbH, pp. 142-154, 5th EAI International Conference on 6G for Future Wireless Networks, 6GN 2022, Harbin, China, 17/12/22. https://doi.org/10.1007/978-3-031-36014-5_12

Server Selection and Resource Allocation for Energy Minimization in Satellite Edge Computing. / Zhu, Weichen; Yang, Weichao; Liu, Gongliang.
6GN for Future Wireless Networks - 5th EAI International Conference, 6GN 2022, Proceedings. ed. / Ao Li; Liang Xi; Yao Shi. Springer Science and Business Media Deutschland GmbH, 2023. p. 142-154 (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST; Vol. 505 LNICST).

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

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AU - Yang, Weichao

AU - Liu, Gongliang

PY - 2023

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N2 - In this paper we construct a double layer satellite network and let MEO satellites carry computing servers to execute computation tasks generated by LEO satellites. The main purpose is to find a task offloading scheme and resource allocation strategy to minimize the energy consumption of the dynamic network which is formulated as a mixed-integer programming problem. To solve it efficiency, we research a suboptimal resource allocation and computation offloading scheme. Specifically, the original problem is divided into three subproblems. The first subproblem is a convex problem which is easy to solve it. Then for the next subproblem, we propose a terminal satellites and edge satellites matching strategy (TEMS). For the last one, random adjustment execution algorithm is applied. Finally, the simulation results have be given to verify the effectiveness of proposed algorithm.

AB - In this paper we construct a double layer satellite network and let MEO satellites carry computing servers to execute computation tasks generated by LEO satellites. The main purpose is to find a task offloading scheme and resource allocation strategy to minimize the energy consumption of the dynamic network which is formulated as a mixed-integer programming problem. To solve it efficiency, we research a suboptimal resource allocation and computation offloading scheme. Specifically, the original problem is divided into three subproblems. The first subproblem is a convex problem which is easy to solve it. Then for the next subproblem, we propose a terminal satellites and edge satellites matching strategy (TEMS). For the last one, random adjustment execution algorithm is applied. Finally, the simulation results have be given to verify the effectiveness of proposed algorithm.

KW - Resource allocation

KW - computation offloading

KW - dynamic satellite networks

KW - edge computing

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SN - 9783031360138

T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST

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BT - 6GN for Future Wireless Networks - 5th EAI International Conference, 6GN 2022, Proceedings

A2 - Li, Ao

A2 - Xi, Liang

A2 - Shi, Yao

PB - Springer Science and Business Media Deutschland GmbH

T2 - 5th EAI International Conference on 6G for Future Wireless Networks, 6GN 2022

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ER -

Zhu W, Yang W, Liu G. Server Selection and Resource Allocation for Energy Minimization in Satellite Edge Computing. In Li A, Xi L, Shi Y, editors, 6GN for Future Wireless Networks - 5th EAI International Conference, 6GN 2022, Proceedings. Springer Science and Business Media Deutschland GmbH. 2023. p. 142-154. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST). doi: 10.1007/978-3-031-36014-5_12