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学者姓名：林霄
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Abstract ：
为满足冷、热业务实时、高效的算力调度需求，提出一种基于自适应噪声完全集合经验模态分解(CEEMDAN)与时间卷积网络(TCN)的算力负载预测模型(简称C-TCN模型)，并设计了基于C-TCN与Q学习的资源协同调度算法(CTQ算法)，利用C-TCN模型提前感知下一时刻负载变化，通过Q学习协同调度波长与存储资源，寻找最佳波长划分与边缘存储分配方案。实验结果表明：CTQ算法的调度性能不仅优于现有调度算法，能满足冷、热业务调度性能要求，而且还能提高波长利用率。
Keyword ：
数据传输 数据传输 算力调度 算力调度 网络优化 网络优化 资源调度 资源调度 边缘光算力网络 边缘光算力网络
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| GB/T 7714 | 王蕴 , 林霄 , 楼芝兰 et al. 面向边缘光算力网络的上行链路资源协同调度算法 [J]. | 光通信技术 , 2024 , 48 (03) : 45-51 . |
| MLA | 王蕴 et al. "面向边缘光算力网络的上行链路资源协同调度算法" . | 光通信技术 48 . 03 (2024) : 45-51 . |
| APA | 王蕴 , 林霄 , 楼芝兰 , 李军 , 孙卫强 . 面向边缘光算力网络的上行链路资源协同调度算法 . | 光通信技术 , 2024 , 48 (03) , 45-51 . |
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Abstract ：
In this paper, an STC-SnF approach is presented to schedule bulk data transfers across the CPON. Studies show it can ensure the coordinated space-time relation of bandwidth fragments and hence benefit the SnF scheduling process. © 2024 IEEE.
Keyword ：
Computing power Computing power
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| GB/T 7714 | Wu, Guiping , Lin, Xiao , Lin, Huihuang et al. Space-Time Coordinated Scheduling Approach in Computing Power Optical Networks [C] . 2024 . |
| MLA | Wu, Guiping et al. "Space-Time Coordinated Scheduling Approach in Computing Power Optical Networks" . (2024) . |
| APA | Wu, Guiping , Lin, Xiao , Lin, Huihuang , Hong, Zhixiang , Zhang, Jia , Chen, Zhen et al. Space-Time Coordinated Scheduling Approach in Computing Power Optical Networks . (2024) . |
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Abstract ：
In this paper, we conduct the cost analysis of the EDWC project. Studies show the current transmission cost is too high. We present a scheme to schedule the computing jobs based on the price fluctuation. © 2024 IEEE.
Keyword ：
Computing power Computing power
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| GB/T 7714 | Hong, Zhixiang , Lin, Xiao , Wu, Guiping et al. A Dynamic Computing Power Scheduling Scheme for the EDWC Project in China [C] . 2024 . |
| MLA | Hong, Zhixiang et al. "A Dynamic Computing Power Scheduling Scheme for the EDWC Project in China" . (2024) . |
| APA | Hong, Zhixiang , Lin, Xiao , Wu, Guiping , Zhang, Jia , Li, Jun , Chen, Zhen et al. A Dynamic Computing Power Scheduling Scheme for the EDWC Project in China . (2024) . |
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Abstract ：
A SnF scheduling method is presented to schedule data transfers in the HFL aggregation process across the ECPON. Studies demonstrate that the proposed method outperforms conventional methods in terms of network performance and training accuracy. © 2024 IEEE.
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| GB/T 7714 | Zhang, Jia , Lin, Xiao , Hong, Zhixiang et al. A SnF Scheduling Method for HFL Over Edge Computing Power Optical Network [C] . 2024 . |
| MLA | Zhang, Jia et al. "A SnF Scheduling Method for HFL Over Edge Computing Power Optical Network" . (2024) . |
| APA | Zhang, Jia , Lin, Xiao , Hong, Zhixiang , Wu, Guiping , Li, Jun , Chen, Zhen et al. A SnF Scheduling Method for HFL Over Edge Computing Power Optical Network . (2024) . |
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Abstract ：
Edge computing power optical network (ECPON) has emerged as a solution for providing last-mile AI access, bringing with it an urgent need for efficient resource allocation, which cannot be achieved without accurate traffic prediction and estimation of the network performance. However, privacy concerns and data heterogeneity prohibit the conventional prediction and estimation approaches from becoming practical solutions for the ECPON. In this paper, a hierarchical-federated-learning-aided adaptive upstream transfer scheme is presented. On one hand, it combines shape-based traffic clustering, wavelet analysis and GRU into an HFL-aided predictor to perceive future traffic fluctuation. On the other hand, it uses HFL-aided estimators to perceive the ECPON performance metrics. As such, it can allocate resources to adapt to traffic fluctuation in advance. Simulations show that the proposed scheme offers near-optimal allocation compared with the conventional schemes.
Keyword ：
edge computing power network edge computing power network hierarchical federated learning hierarchical federated learning network optimization network optimization Optical network Optical network performance estimation performance estimation traffic prediction traffic prediction
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| GB/T 7714 | Lian, Zhengtao , Lin, Xiao , Zhang, Jia et al. HFL-Aided Adaptive Upstream Transfer Scheme in Edge Computing Power Optical Network [J]. | CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA, ICCC , 2024 . |
| MLA | Lian, Zhengtao et al. "HFL-Aided Adaptive Upstream Transfer Scheme in Edge Computing Power Optical Network" . | CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA, ICCC (2024) . |
| APA | Lian, Zhengtao , Lin, Xiao , Zhang, Jia , Li, Jun , Chen, Zhen , Sun, Weiqiang et al. HFL-Aided Adaptive Upstream Transfer Scheme in Edge Computing Power Optical Network . | CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA, ICCC , 2024 . |
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Abstract ：
The rise of artificial intelligence-generated content (AIGC) has fueled a growing demand for data uploads. Massive data are transferred from clients and aggregated on the cloud for the AIGC model update. However, traffic fluctuation makes it difficult to carry AIGC uploads over conventional end-to-end (E2E) connections. In this paper, we present a storage-assisted uploading method for hierarchical federated learning (SU-HFL) over optical AIGC networks. SU-HFL not only reduces uploading traffic via edge aggregation enabled by HFL, but also relaxes the E2E constraint via temporary storage on intermediate nodes. Simulations show that SU-HFL outperforms conventional methods in terms of network performance and training accuracy.
Keyword ：
AIGC AIGC hierarchical federated learning hierarchical federated learning model upload model upload optical network optical network resource scheduling resource scheduling store-and-forward store-and-forward
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| GB/T 7714 | Zhang, Jia , Lin, Xiao , Lian, Zhengtao et al. Storage-Assisted Uploading Method for HFL over Optical AIGC Networks [J]. | CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA, ICCC , 2024 . |
| MLA | Zhang, Jia et al. "Storage-Assisted Uploading Method for HFL over Optical AIGC Networks" . | CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA, ICCC (2024) . |
| APA | Zhang, Jia , Lin, Xiao , Lian, Zhengtao , Li, Jun , Chen, Zhen , Sun, Weiqiang et al. Storage-Assisted Uploading Method for HFL over Optical AIGC Networks . | CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA, ICCC , 2024 . |
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Abstract ：
Optical computing power network (OCPN) has emerged as a key enabler for the era of AI. However, OCPN operators find it difficult to accommodate increasing bulk data transfers over end-to-end lightpaths due to the spatiotemporal volatility of background traffic. In this paper, we propose a graph-classifier-aided store-and-forward (SnF) scheduling method, namely GCS, for bulk data transfers in the OCPN. Instead of formulating a static optimization model, GCS formulates the SnF problem as a routing model on a multilayer graph. Instead of searching the entire graph directly, GCS decomposes it into multiple fixed-route subgraphs and leverages a GCN graph classifier to exclude infeasible subgraphs as well as narrow down the search scope of subgraphs. GCS not only reduces the complexity of the problem and the difficulty of the model learning. Studies show that GCS obtains lower blocking probability and shorter searching time than the existing methods.
Keyword ：
computing power network computing power network graph classification graph classification Optical network Optical network routing routing store-and-forward store-and-forward
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| GB/T 7714 | Lin, Xiao , Xiao, Junhao , Zheng, Lanfang et al. Graph-Classifier-Aided SnF Scheduling Method for Optical Computing Power Networks [J]. | CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA, ICCC , 2024 . |
| MLA | Lin, Xiao et al. "Graph-Classifier-Aided SnF Scheduling Method for Optical Computing Power Networks" . | CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA, ICCC (2024) . |
| APA | Lin, Xiao , Xiao, Junhao , Zheng, Lanfang , Zhang, Jia , Lian, Zhengtao , Li, Jun et al. Graph-Classifier-Aided SnF Scheduling Method for Optical Computing Power Networks . | CIC INTERNATIONAL CONFERENCE ON COMMUNICATIONS IN CHINA, ICCC , 2024 . |
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Abstract ：
A GCN-assisted scheduling method is presented to schedule bulk transfers across the inter-DCN in a store-and-forward manner. Simulations demonstrate that the proposed method obtains better network performance and lower complexity than the conventional methods. (c) 2022 The Author(s)
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| GB/T 7714 | Lin, Xiao , Zheng, Lanfang , Li, Yajie et al. GCN-Assisted SnF Scheduling Method for Inter-Datacenter Bulk Transfers [J]. | 2023 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION, OFC , 2023 . |
| MLA | Lin, Xiao et al. "GCN-Assisted SnF Scheduling Method for Inter-Datacenter Bulk Transfers" . | 2023 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION, OFC (2023) . |
| APA | Lin, Xiao , Zheng, Lanfang , Li, Yajie , Shi, Keqin . GCN-Assisted SnF Scheduling Method for Inter-Datacenter Bulk Transfers . | 2023 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION, OFC , 2023 . |
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Abstract ：
A GCN-assisted scheduling method is presented to schedule bulk transfers across the inter-DCN in a store-and-forward manner. Simulations demonstrate that the proposed method obtains better network performance and lower complexity than the conventional methods. © 2023 The Author(s).
Keyword ：
(060.4251) Networks, assignment and routing algorithms (060.4251) Networks, assignment and routing algorithms
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| GB/T 7714 | Lin, X. , Zheng, L. , Li, Y. et al. GCN-Assisted SnF Scheduling Method for Inter-Datacenter Bulk Transfers [未知]. |
| MLA | Lin, X. et al. "GCN-Assisted SnF Scheduling Method for Inter-Datacenter Bulk Transfers" [未知]. |
| APA | Lin, X. , Zheng, L. , Li, Y. , Shi, K. . GCN-Assisted SnF Scheduling Method for Inter-Datacenter Bulk Transfers [未知]. |
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Abstract ：
ANN-assisted scheduling method is presented to schedule bulk transfers across optical computing power networks in a single-path/SnF-multi-path manner. Studies demonstrate that the method outperforms the conventional methods in terms of blocking probability and computation time. © 2023 IEEE.
Keyword ：
Artificial neural network Artificial neural network bulk data transfer bulk data transfer computing power network computing power network multi-path routing multi-path routing optical network optical network store-and-forward store-and-forward
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| GB/T 7714 | Lin, X. , Lin, H. , Zhang, C. et al. ANN-Assisted Scheduling Method for Bulk Data Transfers in Optical Computing Power Networks [未知]. |
| MLA | Lin, X. et al. "ANN-Assisted Scheduling Method for Bulk Data Transfers in Optical Computing Power Networks" [未知]. |
| APA | Lin, X. , Lin, H. , Zhang, C. , Li, J. , Shi, K. , Sun, W. et al. ANN-Assisted Scheduling Method for Bulk Data Transfers in Optical Computing Power Networks [未知]. |
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