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学者姓名:林霄
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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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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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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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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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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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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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Digital Twin Network (DTN) constructs a many-to-many mapping network by communicating and collaborating with massive Digital Twins (DTs), which can better assist the management and operation of large-scale modern systems. However, the emergence of DTN mirrors a growing demand for bulk data transfer between geo-distributed DT nodes in the physical network infrastructure. Conventional end-to-end connections are facing a great challenge in the presence of the background traffic fluctuation. In this paper, we propose a graph convolutional network (GCN)-enabled scheduling method to schedule bulk data transfers across the DTN in a store-and-forward (SnF) manner. Instead of solving the complex SnF scheduling problem on the entire network, the proposed method decomposes the problem into multiple sub-problems on different pre-computed routes. Instead of learning the scheduling results directly, the GCN model is used to predict the reachability of DT nodes. These unreachable nodes will be excluded from the scheduling process. Our studies show that the proposed method obtains better network performance and lower complexity when compared with the conventional scheduling methods.
Keyword :
Bulk data transfers Bulk data transfers digital twin networks digital twin networks graph convolutional network graph convolutional network routing routing store-and-forward store-and-forward
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GB/T 7714 | Lin, Xiao , Zheng, Lanfang , Shi, Keqin et al. Bulk Transfers With GCN Scheduling In Digital Twin Networks [J]. | ICC 2023 - IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS , 2023 : 447-452 . |
MLA | Lin, Xiao et al. "Bulk Transfers With GCN Scheduling In Digital Twin Networks" . | ICC 2023 - IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (2023) : 447-452 . |
APA | Lin, Xiao , Zheng, Lanfang , Shi, Keqin , Li, Yajie . Bulk Transfers With GCN Scheduling In Digital Twin Networks . | ICC 2023 - IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS , 2023 , 447-452 . |
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Antimony sulfide (Sb2S3) with a 1D molecular structure has strong bending characteristics, showing great application potential in flexible devices. Herein, the flexible substrate-structured Sb2S3 solar cells is developed and improve device performances by the back interface selenization. The high-quality Sb2S3 film with an optimal thickness of 1.8 mu m, ensuring efficient spectra utilization, is deposited on flexible Mo foils by the rapid thermal evaporation technique. To solve the issues of back interfacial recombination and charge transport, the 20 nm MoSe2 layer between Sb2S3 film and Mo foil is fabricated by substrate selenization in the tube furnace. Further investigations indicate that the MoSe2 layer improves the interfacial energy band alignments and induces the [hk1] orientation of Sb2S3 film, thereby passivating defects and enhancing the carrier transport capacity. The flexible solar cell in the structure of Mo foil/MoSe2/Sb2S3/CdS/ITO/Ag, exhibiting good flexibility to stand thousands of bending, achieves an efficiency of 3.75%, which is the highest for Sb2S3 devices in substrate configuration. The presented flexible structure and back interfacial selenization study will provide new prospects for inorganic Sb2S3 thin film solar cells.
Keyword :
flexible flexible MoSe2 MoSe2 orientations orientations Sb2S3 solar cells Sb2S3 solar cells substrate configurations substrate configurations
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GB/T 7714 | Deng, Hui , Cheng, Yingshun , Chen, Zekun et al. Flexible Substrate-Structured Sb2S3 Solar Cells with Back Interface Selenization [J]. | ADVANCED FUNCTIONAL MATERIALS , 2023 , 33 (12) . |
MLA | Deng, Hui et al. "Flexible Substrate-Structured Sb2S3 Solar Cells with Back Interface Selenization" . | ADVANCED FUNCTIONAL MATERIALS 33 . 12 (2023) . |
APA | Deng, Hui , Cheng, Yingshun , Chen, Zekun , Lin, Xiao , Wu, Jionghua , Zheng, Qiao et al. Flexible Substrate-Structured Sb2S3 Solar Cells with Back Interface Selenization . | ADVANCED FUNCTIONAL MATERIALS , 2023 , 33 (12) . |
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The increasing demand of bulk data transfer imposes significant challenges in inter-datacenter networks that span multiple domains. Storing data temporarily at domain borders and forward it at later off-peak hours (SnF) can reduce congestion and improve network utilization. However, performance gains from SnF transfer still requires further quantitative study. In this article, we model deadline-constrained SnF transfers in networks with congested inter-domain links, where traffic has slightly varying peak hour and diurnal patterns. A closed-form estimation for the two-links case is derived to quantify the performance gain of intermediate storage (IS) and edge storage (ES). Our study shows that if bulk data transfer requests arrive with equal probability in a day, increase the allowed waiting time will increase the successful transfer probability linearly. Increasing the aggregated network load, defined as the summed duration of the background traffic peak-hour and data transfer, will result in linear decrease in successful transfer probability, when the network is moderately loaded. Our research also shows that IS has significant advantages over ES under heavy network load, and the maximum benefit occurs when the allowed waiting time is two times the aggregated network load.
Keyword :
modeling methodologies modeling methodologies performance of systems performance of systems Store and forward networks Store and forward networks wide-area networks wide-area networks
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GB/T 7714 | Yue, Shengnan , Lin, Xiao , Sun, Weiqiang et al. Modeling Sparse Store-and-Forward Bulk Data Transfers in Inter-Datacenter Networks With Multiple Congested Links [J]. | IEEE TRANSACTIONS ON CLOUD COMPUTING , 2023 , 11 (3) : 2725-2738 . |
MLA | Yue, Shengnan et al. "Modeling Sparse Store-and-Forward Bulk Data Transfers in Inter-Datacenter Networks With Multiple Congested Links" . | IEEE TRANSACTIONS ON CLOUD COMPUTING 11 . 3 (2023) : 2725-2738 . |
APA | Yue, Shengnan , Lin, Xiao , Sun, Weiqiang , Hu, Weisheng . Modeling Sparse Store-and-Forward Bulk Data Transfers in Inter-Datacenter Networks With Multiple Congested Links . | IEEE TRANSACTIONS ON CLOUD COMPUTING , 2023 , 11 (3) , 2725-2738 . |
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Sb2S3 has emerged as a promising light-absorbing material due to its nontoxicity, low cost, high stability, and absorption coefficient. However, the absorption spectrum ranges and back-contact barrier between Sb2S3 and Au strongly limit the device performance. p-type Sb2Se3 has a similar lattice structure and properties as Sb2S3, obtaining absorption expansion and ohmic back contact. Herein, efficient all-inorganic planar Sb2S3 solar cells with the addition of Sb2Se3 layers are fabricated. The functions of Sb2Se3 as cooperative absorber (400 nm) and hole transport layers (HTL, 80 nm) are further explored. Systematic characterizations indicate that the junction quality and depletion widths of the device with the addition of Sb2Se3 are improved by forming a p-i-n structure. As a result, the all-inorganic Sb2S3 solar cell with a Sb2Se3 HTL greatly increases the power conversion efficiency from 2.7% to 5.8% and the fill factor from 40% to 55.4%. The additional Sb2Se3/Au interface with matched energy-level alignments reduces the back-contact barrier and facilitates hole transport and collection. The present design and methods promote the development of Sb2S3 solar cells.
Keyword :
efficiency efficiency energy-level alignments energy-level alignments interfaces interfaces Sb2S3 solar cells Sb2S3 solar cells Sb2Se3 hole transport layers Sb2Se3 hole transport layers
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GB/T 7714 | Deng, Hui , Chen, Siwei , Ishaq, Muhammad et al. Efficient All-Inorganic Sb2S3 Solar Cells with Matched Energy Levels Using Sb2Se3 as Hole Transport Layers [J]. | SOLAR RRL , 2022 , 6 (4) . |
MLA | Deng, Hui et al. "Efficient All-Inorganic Sb2S3 Solar Cells with Matched Energy Levels Using Sb2Se3 as Hole Transport Layers" . | SOLAR RRL 6 . 4 (2022) . |
APA | Deng, Hui , Chen, Siwei , Ishaq, Muhammad , Cheng, Yingshun , Sun, Quanzhen , Lin, Xiao et al. Efficient All-Inorganic Sb2S3 Solar Cells with Matched Energy Levels Using Sb2Se3 as Hole Transport Layers . | SOLAR RRL , 2022 , 6 (4) . |
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