학술논문
A Global Task Scheduling Method Based on Network Measurement and Prediction in Computing Power Networks
Document Type
Conference
Author
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
Language
ISSN
2690-5965
Abstract
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.