Computing-network intelligence: research progress and prospects
Although the computing power network (CPN) can connect via the Internet and flexibly schedule computing resources, it still lacks intelligence and flexibility in practical applications. To address the need for enhanced intelligence in computing power networks, the background and concept of the compu...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2024-10-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024174/ |
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| _version_ | 1841537124266934272 |
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| author | ZHU Hailong YANG Fan JIANG Ruyi JIA Qingmin ZHOU Xiaomao XIE Renchao HUANG Tao |
| author_facet | ZHU Hailong YANG Fan JIANG Ruyi JIA Qingmin ZHOU Xiaomao XIE Renchao HUANG Tao |
| author_sort | ZHU Hailong |
| collection | DOAJ |
| description | Although the computing power network (CPN) can connect via the Internet and flexibly schedule computing resources, it still lacks intelligence and flexibility in practical applications. To address the need for enhanced intelligence in computing power networks, the background and concept of the computing-network intelligence (CNI) were first introduced briefly. Then, followed by the proposal of a novel basic architecture and operational mechanism for CNI, intelligent resource allocation and service scheduling of multi-dimensional resources were achieved through key technologies such as computing-network perception, intelligent decision-making, computing power routing, automation, and self-optimization. Finally, future research directions and technical challenges were discussed. CNI is recognized as an inevitable trend for the future, effectively addressing issues such as complex operational processes, excessive reliance on human experience, and difficulties in adapting to dynamically changing environments. |
| format | Article |
| id | doaj-art-a2bb9e0af6b54feeb53c1fba0e22c2b1 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2024-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-a2bb9e0af6b54feeb53c1fba0e22c2b12025-01-14T08:46:07ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2024-10-014519120677077732Computing-network intelligence: research progress and prospectsZHU HailongYANG FanJIANG RuyiJIA QingminZHOU XiaomaoXIE RenchaoHUANG TaoAlthough the computing power network (CPN) can connect via the Internet and flexibly schedule computing resources, it still lacks intelligence and flexibility in practical applications. To address the need for enhanced intelligence in computing power networks, the background and concept of the computing-network intelligence (CNI) were first introduced briefly. Then, followed by the proposal of a novel basic architecture and operational mechanism for CNI, intelligent resource allocation and service scheduling of multi-dimensional resources were achieved through key technologies such as computing-network perception, intelligent decision-making, computing power routing, automation, and self-optimization. Finally, future research directions and technical challenges were discussed. CNI is recognized as an inevitable trend for the future, effectively addressing issues such as complex operational processes, excessive reliance on human experience, and difficulties in adapting to dynamically changing environments.http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024174/computing-network convergencecomputing-network intelligencecomputing power networkautonomous network |
| spellingShingle | ZHU Hailong YANG Fan JIANG Ruyi JIA Qingmin ZHOU Xiaomao XIE Renchao HUANG Tao Computing-network intelligence: research progress and prospects Tongxin xuebao computing-network convergence computing-network intelligence computing power network autonomous network |
| title | Computing-network intelligence: research progress and prospects |
| title_full | Computing-network intelligence: research progress and prospects |
| title_fullStr | Computing-network intelligence: research progress and prospects |
| title_full_unstemmed | Computing-network intelligence: research progress and prospects |
| title_short | Computing-network intelligence: research progress and prospects |
| title_sort | computing network intelligence research progress and prospects |
| topic | computing-network convergence computing-network intelligence computing power network autonomous network |
| url | http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024174/ |
| work_keys_str_mv | AT zhuhailong computingnetworkintelligenceresearchprogressandprospects AT yangfan computingnetworkintelligenceresearchprogressandprospects AT jiangruyi computingnetworkintelligenceresearchprogressandprospects AT jiaqingmin computingnetworkintelligenceresearchprogressandprospects AT zhouxiaomao computingnetworkintelligenceresearchprogressandprospects AT xierenchao computingnetworkintelligenceresearchprogressandprospects AT huangtao computingnetworkintelligenceresearchprogressandprospects |