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面向云服务的性能与隔离性定制化硬件资源抽象方法 Patent
专利类型: 发明专利Invention,
Authors:  YE KEJIANG;  SU LINYU;  LIN YANYING;  XU CHENGZHONG
Favorite |  | Submit date：2022/08/29
Cloud Services  Hardware Resource Abstraction  Fpga  
基于无服务器计算的高并发低时延云服务支撑方法 Patent
专利类型: 发明专利Invention,
Authors:  YE KEJIANG;  LIN YANYING;  XU CHENGZHONG
Favorite |  | Submit date：2022/08/26
Serverless  Low Latency  High Throughput  
EINS: Edge-Cloud Deep Model Inference with Network-Efficiency Schedule in Serverless Conference paper
Peng, Shijie, Lin, Yanying, Chen, Wenyan, Tang, Yingfei, Duan, Xu, Ye, Kejiang. EINS: Edge-Cloud Deep Model Inference with Network-Efficiency Schedule in Serverless[C]:IEEE, 2024, 1376-1381.
Authors:  Peng, Shijie;  Lin, Yanying;  Chen, Wenyan;  Tang, Yingfei;  Duan, Xu; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/08/05
Edge-cloud Collaborative  Network-efficiency  Serverless Inference  
QUART: Latency-Aware FaaS System for Pipelining Large Model Inference Conference paper
Lin, Yanying, Li, Yanbo, Peng, Shijie, Tang, Yingfei, Luo, Shutian, Shen, Haiying, Xu, Chengzhong, Ye, Kejiang. QUART: Latency-Aware FaaS System for Pipelining Large Model Inference[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 1-12.
Authors:  Lin, Yanying;  Li, Yanbo;  Peng, Shijie;  Tang, Yingfei;  Luo, Shutian; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/10/10
Large Model  Latency Aware  Pipeline Inference  Serverless  
A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification Journal article
Peng Lin, Kejiang Ye, Yishen Hu, Yanying Lin, Cheng Zhong Xu. A Novel Multimodal Deep Learning Framework for Encrypted Traffic Classification[J]. IEEE-ACM TRANSACTIONS ON NETWORKING, 2022, 31(3), 1369-1384.
Authors:  Peng Lin;  Kejiang Ye;  Yishen Hu;  Yanying Lin;  Cheng Zhong Xu
Favorite | TC[WOS]:16 TC[Scopus]:17  IF:3.0/3.6 | Submit date：2023/01/30
Cryptography  Deep Learning  Encrypted Traffic Classification  Encryption  Feature Extraction  Markov Processes  Multimodal Learning  Network Security  Protocols  Quality Of Service  Servers  
Serverless Computing: State-of-the-Art, Challenges and Opportunities Journal article
Li, Yongkang, Lin, Yanying, Wang, Yang, Ye, Kejiang, Xu, Cheng Zhong. Serverless Computing: State-of-the-Art, Challenges and Opportunities[J]. IEEE Transactions on Services Computing, 2022, 16(2), 1522 - 1539.
Authors:  Li, Yongkang;  Lin, Yanying;  Wang, Yang;  Ye, Kejiang;  Xu, Cheng Zhong
Favorite | TC[WOS]:32 TC[Scopus]:53  IF:5.5/5.9 | Submit date：2022/05/17
Survey  Serverless Computing  Faas And Baas  Startup Latency  Isolation  Scheduling  
BBServerless: A Bursty Traffic Benchmark for Serverless Conference paper
Lin, Yanying, Ye, Kejiang, Li, Yongkang, Lin, Peng, Tang, Yingfei, Xu, Chengzhong. BBServerless: A Bursty Traffic Benchmark for Serverless[C], 2022, 45-60.
Authors:  Lin, Yanying;  Ye, Kejiang;  Li, Yongkang;  Lin, Peng;  Tang, Yingfei; et al.
Favorite | TC[WOS]:0 TC[Scopus]:4 | Submit date：2022/05/17
Architectural Analytics  Benchmark Suit  Bursty Traffic  Serverless Computing  Serverless Workloads  
PEAN: A Packet-level End-to-end Attentive Network for Encrypted Traffic Identification Conference paper
Lin, Peng, Hu, Yishen, Lin, Yanying, Ye, Kejiang, Xu, Cheng Zhong. PEAN: A Packet-level End-to-end Attentive Network for Encrypted Traffic Identification[C], 2022, 267-274.
Authors:  Lin, Peng;  Hu, Yishen;  Lin, Yanying;  Ye, Kejiang;  Xu, Cheng Zhong
Favorite | TC[Scopus]:1 | Submit date：2022/08/05
Cyber Security  Encrypted Traffic Identification  Traffic Classification  
LBNN: Perceiving the state changes of a core telecommunications network via linear bayesian neural network Conference paper
Yanying Lin, Kejiang Ye, Ming Chen, Naitian Deng, Tailin Wu, Cheng-Zhong Xu. LBNN: Perceiving the state changes of a core telecommunications network via linear bayesian neural network[C]:IEEE, 2020, 72-80.
Authors:  Yanying Lin;  Kejiang Ye;  Ming Chen;  Naitian Deng;  Tailin Wu; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2021/05/31
Linear Bayesian Neural Network  State Change Perception  Telecommunications Core Network