A Global Task Scheduling Method Based on Network Measurement and Prediction in Computing Power Networks
- Resource Type
- Conference
- Authors
- Zhang, Chuanfu; Li, Wen; Chen, Jing; Ge, Jing; Wang, Di; Li, Na; Sun, Hao; Geng, Yudong
- Source
- 2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS) ICPADS Parallel and Distributed Systems (ICPADS), 2023 IEEE 29th International Conference on. :2837-2839 Dec, 2023
- Subject
- Communication, Networking and Broadcast Technologies
Computing and Processing
Training
Power measurement
Processor scheduling
Computational modeling
Urban areas
Task analysis
Artificial intelligence
computing power network
global scheduling
network availability score
task offloading
- Language
- ISSN
- 2690-5965
To improve the task scheduling efficiency in computing power networks, this paper proposes a global task scheduling method based on network measurement and prediction in computing power networks (GTS-MP), which selects a more suitable computing power cluster and storage platform with a higher network availability score between them to implement tasks. The experiments are conducted on a test bench of urban area networks in 12 cities. The results show that this method greatly reduces the execution time of artificial intelligence model training tasks, with a maximum reduction of 40% compared to other plans.