Yu, X., Zhu, M., Zhu, M., Zhou, X., & Long, L. (2025). A novel Location-Aware job scheduling framework for optimizing Fog-Cloud Io T systems: insights from dynamic traffic management. Journal of Cloud Computing: Advances, Systems and Applications, 14(1). https://doi.org/10.1186/s13677-025-00772-7

YU, Xiaomo, ZHU, Mingjun, ZHU, Menghan, ZHOU, Xiaomeng und LONG, Long, 2025. A novel Location-Aware job scheduling framework for optimizing Fog-Cloud Io T systems: insights from dynamic traffic management. Journal of Cloud Computing: Advances, Systems and Applications. 1 Dezember 2025. Vol. 14, no. 1, . DOI 10.1186/s13677-025-00772-7.

Yu, X., M. Zhu, M. Zhu, X. Zhou, und L. Long. „A Novel Location-Aware Job Scheduling Framework for Optimizing Fog-Cloud Io T Systems: Insights from Dynamic Traffic Management“. Journal of Cloud Computing: Advances, Systems and Applications, Bd. 14, Nr. 1, Dezember 2025, https://doi.org/10.1186/s13677-025-00772-7.

Yu, Xiaomo/Zhu, Mingjun/Zhu, Menghan/Zhou, Xiaomeng/Long, Long: A novel Location-Aware job scheduling framework for optimizing Fog-Cloud Io T systems: insights from dynamic traffic management, Journal of Cloud Computing: Advances, Systems and Applications 2025,

Yu, X., Zhu, M., Zhu, M., Zhou, X. und Long, L. (2025), „A novel Location-Aware job scheduling framework for optimizing Fog-Cloud Io T systems: insights from dynamic traffic management“, Journal of Cloud Computing: Advances, Systems and Applications, Vol. 14 No. 1, verfügbar unter:https://doi.org/10.1186/s13677-025-00772-7.