Abstract
In an era of rapidly evolving mobile computing, integrating satellite technologies with the Internet of Things (IoT) creates new communication and data management horizons. Our research focuses on the emerging challenge of efficiently managing heavy computing tasks in satellite-based mist computing environments. These tasks, crucial in fields ranging from satellite communication optimization to blockchain-based IoT processes, demand significant computational resources and timely execution. Addressing these challenges, we propose a novel orchestration algorithm, K-Closest Load-balanced Selection (KLS), explicitly designed for satellite-based mist computing. This innovative approach prioritizes the selection of mist satellites based on proximity and load balance, optimizing task deployment and performance. Our experimentation involved varying the percentages of mist layer devices and implementing a round-robin principle for equitable task distribution. The results showed promising outcomes in terms of energy consumption, end-to-end delay, and network usage times, highlighting the algorithm’s effectiveness in specific scenarios. However, it also highlighted areas for future improvements, such as CPU utilization and bandwidth consumption, indicating the need for further refinement. Our findings contribute significant insights into optimizing task orchestration in satellite-based mist computing environments, paving the way for more efficient, reliable, and sustainable satellite communication systems.
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References
Babaghayou, M., Chaib, N., Lagraa, N., Ferrag, M.A., Maglaras, L.: A safety-aware location privacy-preserving iov scheme with road congestion-estimation in mobile edge computing. Sensors 23(1), 531 (2023)
Babaghayou, M., Labraoui, N., Ari, A.A.A., Ferrag, M.A., Maglaras, L.: The impact of the adversary’s eavesdrop** stations on the location privacy level in internet of vehicles. In: 2020 5th South-East Europe Design Automation, Computer Engineering, Computer Networks and Social Media Conference (SEEDA-CECNSM), pp. 1–6. IEEE (2020)
Baselt, G., Strohmeier, M., Pavur, J., Lenders, V., Martinovic, I.: Security and privacy issues of satellite communication in the avlatlon domain. In: 2022 14th International Conference on Cyber Conflict: Keep Moving!(CyCon), vol. 700, pp. 285–307. IEEE (2022)
Dagli, M., Keskin, S., Yigit, Y., Kose, A.: Resiliency analysis of onos and opendaylight sdn controllers against switch and link failures. In: 2020 Fifth International Conference on Research in Computational Intelligence and Communication Networks (ICRCICN), pp. 149–153. IEEE (2020)
De Sanctis, M., Cianca, E., Araniti, G., Bisio, I., Prasad, R.: Satellite communications supporting internet of remote things. IEEE Internet Things J. 3(1), 113–123 (2015)
Ferrag, M.A., Maglaras, L., Janicke, H., Smith, R.: Deep learning techniques for cyber security intrusion detection: A detailed analysis. In: 6th International Symposium for ICS & SCADA Cyber Security Research 2019, vol. 6, pp. 126–136 (2019)
Gao, X., Liu, R., Kaushik, A.: Virtual network function placement in satellite edge computing with a potential game approach. IEEE Trans. Netw. Serv. Manage. 19(2), 1243–1259 (2022)
Mao, Y., You, C., Zhang, J., Huang, K., Letaief, K.B.: A survey on mobile edge computing: the communication perspective. IEEE Commun. Surv. Tutorials 19(4), 2322–2358 (2017)
Messous, M.A., Senouci, S.M., Sedjelmaci, H., Cherkaoui, S.: A game theory based efficient computation offloading in an UAV network. IEEE Trans. Veh. Technol. 68(5), 4964–4974 (2019)
Wang, F., Jiang, D., Qi, S., Qiao, C., Shi, L.: A dynamic resource scheduling scheme in edge computing satellite networks. Mob. Netw. Appl. 26, 597–608 (2021)
Wang, Y., Yang, J., Guo, X., Qu, Z.: Satellite edge computing for the internet of things in aerospace. Sensors 19(20), 4375 (2019)
Wei, J., Cao, S., Pan, S., Han, J., Yan, L., Zhang, L.: Satedgesim: a toolkit for modeling and simulation of performance evaluation in satellite edge computing environments. In: 2020 12th International Conference on Communication Software and Networks (ICCSN), pp. 307–313. IEEE (2020)
Wu, W.W.: Satellite communications. Proc. IEEE 85(6), 998–1010 (1997)
Yan, Y., Dai, Y., Zhou, Z., Jiang, W., Guo, S.: Edge computing-based tasks offloading and block caching for mobile blockchain. Comput. Mater. Contin 62(2), 905–915 (2020)
Zhang, J., Zhang, X., Wang, P., Liu, L., Wang, Y.: Double-edge intelligent integrated satellite terrestrial networks. China Commun. 17(9), 128–146 (2020)
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Babaghayou, M., Chaib, N., Maglaras, L., Yigit, Y., Ferrag, M.A., Marsh, C. (2024). Proximity-Driven, Load-Balancing Task Offloading Algorithm for Enhanced Performance in Satellite-Enabled Mist Computing. In: Maglaras, L.A., Douligeris, C. (eds) Wireless Internet. WiCON 2023. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 527. Springer, Cham. https://doi.org/10.1007/978-3-031-58053-6_3
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DOI: https://doi.org/10.1007/978-3-031-58053-6_3
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