Runtime collaborative scheduling of resources in computing power network oriented to the wide-area distributed intelligent computing environment
With the rapid development of new generation information and communication technologies such as artificial intelligence, the wide-area distributed intelligent computing environment has become an important infrastructure. In response to the challenge of efficient collaborative scheduling of resources...
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2025-05-01
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| Series: | 大数据 |
| Subjects: | |
| Online Access: | http://www.j-bigdataresearch.com.cn/zh/article/doi/10.11959/j.issn.2096-0271.2025037/ |
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| author | SONG Yao SONG Ping GAO Wei LIU Shu HUO Zhisheng |
| author_facet | SONG Yao SONG Ping GAO Wei LIU Shu HUO Zhisheng |
| author_sort | SONG Yao |
| collection | DOAJ |
| description | With the rapid development of new generation information and communication technologies such as artificial intelligence, the wide-area distributed intelligent computing environment has become an important infrastructure. In response to the challenge of efficient collaborative scheduling of resources in a wide-area distributed intelligent computing environment, a runtime collaborative scheduling of resources in computing power network method is proposed. The key task selection and backfilling, network traffic scheduling of core flow, and adaptive data placement strategies are designed. The usage of computing, network, and storage resources in the computing power network are comprehensively analyzed, and the strategies are collaboratively implemented to optimized the global utilization of resources. The experimental results indicate that the proposed method can effectively improve the system throughput while optimizing the global data migration cost compared with the existing methods. |
| format | Article |
| id | doaj-art-47a653b60a5b49189571baaa4857cb19 |
| institution | Kabale University |
| issn | 2096-0271 |
| language | zho |
| publishDate | 2025-05-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 大数据 |
| spelling | doaj-art-47a653b60a5b49189571baaa4857cb192025-08-20T03:49:18ZzhoChina InfoCom Media Group大数据2096-02712025-05-0111316100477516Runtime collaborative scheduling of resources in computing power network oriented to the wide-area distributed intelligent computing environmentSONG YaoSONG PingGAO WeiLIU ShuHUO ZhishengWith the rapid development of new generation information and communication technologies such as artificial intelligence, the wide-area distributed intelligent computing environment has become an important infrastructure. In response to the challenge of efficient collaborative scheduling of resources in a wide-area distributed intelligent computing environment, a runtime collaborative scheduling of resources in computing power network method is proposed. The key task selection and backfilling, network traffic scheduling of core flow, and adaptive data placement strategies are designed. The usage of computing, network, and storage resources in the computing power network are comprehensively analyzed, and the strategies are collaboratively implemented to optimized the global utilization of resources. The experimental results indicate that the proposed method can effectively improve the system throughput while optimizing the global data migration cost compared with the existing methods.http://www.j-bigdataresearch.com.cn/zh/article/doi/10.11959/j.issn.2096-0271.2025037/task schedulingnetwork resource schedulingdata placementcollaborative scheduling |
| spellingShingle | SONG Yao SONG Ping GAO Wei LIU Shu HUO Zhisheng Runtime collaborative scheduling of resources in computing power network oriented to the wide-area distributed intelligent computing environment 大数据 task scheduling network resource scheduling data placement collaborative scheduling |
| title | Runtime collaborative scheduling of resources in computing power network oriented to the wide-area distributed intelligent computing environment |
| title_full | Runtime collaborative scheduling of resources in computing power network oriented to the wide-area distributed intelligent computing environment |
| title_fullStr | Runtime collaborative scheduling of resources in computing power network oriented to the wide-area distributed intelligent computing environment |
| title_full_unstemmed | Runtime collaborative scheduling of resources in computing power network oriented to the wide-area distributed intelligent computing environment |
| title_short | Runtime collaborative scheduling of resources in computing power network oriented to the wide-area distributed intelligent computing environment |
| title_sort | runtime collaborative scheduling of resources in computing power network oriented to the wide area distributed intelligent computing environment |
| topic | task scheduling network resource scheduling data placement collaborative scheduling |
| url | http://www.j-bigdataresearch.com.cn/zh/article/doi/10.11959/j.issn.2096-0271.2025037/ |
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