Level-Aware Service Degradation in Resourcetime Dimension for Resource-Intensive Services in Computing Power Network

This paper proposes an ILP model and level-aware degradation algorithm for resourceintensive services in CPN, degrading in resource-time dimension and emphasizing computing and bandwidth relationships to improve network revenue and reduce blocking probability by 20%.

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Published
2025-06-29
DOI
https://doi.org/10.23919/oecc/psc62146.2025.11110463
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00

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article

Level-Aware Service Degradation in Resourcetime Dimension for Resource-Intensive Services in Computing Power Network

Yongli Zhao, Wanping Wu, Yingbo Fan, Sheng Wang et al.
1 links
Distributed and Parallel Computing Systems
article

Level-Aware Service Degradation in Resourcetime Dimension for Resource-Intensive Services in Computing Power Network

Yongli Zhao, Wanping Wu, Yingbo Fan, Sheng Wang, Yahui Wang, Yajie Li, Jie Zhang
article en

Abstract

This paper proposes an ILP model and level-aware degradation algorithm for resourceintensive services in CPN, degrading in resource-time dimension and emphasizing computing and bandwidth relationships to improve network revenue and reduce blocking probability by 20%.

Beijing University of Posts and Telecommunications (CN)
National Natural Science Foundation of China, Beijing University of Posts and Telecommunications, Bulgarian National Science Fund, Fundamental Research Funds for the Central Universities
Decent work and economic growth
Openalex Percentile: Top 76%
Distributed and Parallel Computing Systems
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