Meteorological data layout and task scheduling in a multi-cloud environment

Engineering Applications of Artificial Intelligence - Tập 126 - Trang 106860 - 2023
Yongsheng Hao1,2, Jie Cao1,3, Qi Wang1,4, Tinghuai Ma1,5, Qin Wang5, Xin Zhang6
1School of Mathematics and Statistics, Nanjing University of Information Science & Technology, Nanjing 210044, China
2Network Center, Nanjing University of Information Science & Technology, Nanjing 210044, China
3Xuzhou University of Technology, Xuzhou, 221018, China
4Information Science and Technology College, Dalian Maritime University, Dalian, 116026, China
5School of Computer Science, Nanjing University of Information Science & Technology, Nanjing, 210044, China
6School of Ophthalmology & Optometry, School of Biomedical Engineering, Wenzhou Medical University, Wenzhou 325035, China

Tài liệu tham khảo

Cho, 2020, Scheduling parallel real-time tasks on the minimum number of processors, IEEE Trans. Parallel Distrib. Syst., 31, 171, 10.1109/TPDS.2019.2929048

Faragardi, 2020, GRP-HEFT : A budget-constrained resource provisioning scheme for workflow scheduling in iaas clouds, IEEE Trans. Parallel Distrib. Syst., 31, 1239, 10.1109/TPDS.2019.2961098

Han, 2020

Hu, 2021, Energy-minimized scheduling of real-time parallel workflows on heterogeneous distributed computing systems, IEEE Trans. Serv. Comput., 15, 2766, 10.1109/TSC.2021.3054754

Kasu, 2019, FTLADS: Object-logging based fault-tolerant big data transfer system using layout aware data scheduling, IEEE Access, 7, 37448, 10.1109/ACCESS.2019.2905158

Li, 2019, A novel workflow-level data placement strategy for data-sharing scientific cloud workflows, IEEE Trans. Serv. Comput., 12, 370, 10.1109/TSC.2016.2625247

Lu, 2020, 330

Ma, 2020, 241

Sela, 1995

Sim, 2019, Agent-based approaches for intelligent intercloud resource allocation, IEEE Trans. Cloud Comput., 7, 442, 10.1109/TCC.2016.2628375

Wang, 2020, 340

Wang, 2021, An effective cloud workflow scheduling approach combining PSO and idle time slot-aware rules, IEEE/CAA J. Autom. Sin., 8, 1079, 10.1109/JAS.2021.1003982

Wu, 2022, Endpoint communication contention-aware cloud workflow scheduling, IEEE Trans. Autom. Sci. Eng., 19, 1137, 10.1109/TASE.2020.3046673

Wu, 2020, MOELS: Multiobjective evolutionary list scheduling for cloud workflows, IEEE Trans. Autom. Sci. Eng., 17, 166, 10.1109/TASE.2019.2918691

Xu, 2020, Dynamic resource provisioning with fault tolerance for data-intensive meteorological workflows in cloud, IEEE Trans. Ind. Inform., 16, 6172, 10.1109/TII.2019.2959258

Yu, 2018, LWPTool: A lightweight profiler to guide data layout optimization, IEEE Trans. Parallel Distrib. Syst., 29, 2489, 10.1109/TPDS.2018.2840992

Zhang, 2018, Dynamic cloud task scheduling based on a two-stage strategy, IEEE Trans. Autom. Sci. Eng., 15, 772, 10.1109/TASE.2017.2693688

Zhu, 2021, Task scheduling for multi-cloud computing subject to security and reliability constraints, IEEE/CAA J. Autom. Sin., 8, 848, 10.1109/JAS.2021.1003934