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The Power of Prediction: Microservice Auto Scaling via Workload Learning Conference paper
SoCC 2022 - Proceedings of the 13th Symposium on Cloud Computing
Authors:  Luo, Shutian;  Xu, Huanle;  Ye, Kejiang;  Xu, Guoyao;  Zhang, Liping;  Yang, Guodong;  Xu, Chengzhong
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date：2023/01/31
microservices  proactive auto-scaler  workload uncertainty learning  
A 108-nW 0.8-mm 2 Analog Voice Activity Detector Featuring a Time-Domain CNN With Sparsity-Aware Computation and Sparsified Quantization in 28-nm CMOS Journal article
IEEE Journal of Solid-State Circuits, 2022,Volume: 57,Issue: 11,Page: 1-10
Authors:  Chen, Feifei;  Un, Ka Fai;  Yu, Wei Han;  Mak, Pui In;  Martins, Rui P.
Adobe PDF | Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/07/22
Approximate Computing  Convolutional Neural Network (Cnn)  Feature Extraction  Keyword Spotting (Kws)  Quantization  Reconfigurable  Sparsity  Switched-capacitor Circuits  Voice Activity Detection (Vad)  
Holmes: SMT Interference Diagnosis and CPU Scheduling for Job Co-location Conference paper
HPDC 2022 - Proceedings of the 31st International Symposium on High-Performance Parallel and Distributed Computing
Authors:  Pi, Aidi;  Zhou, Xiaobo;  Xu, Chengzhong
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/08/02
job co-location  latency-critical service  smt interference  
Online Resource Optimization for Elastic Stream Processing with Regret Guarantee Conference paper
ICPP 2022 - Proceedings of the 2022 International Conference on Parallel Processing, Inria, 2022-8-29
Authors:  Yang Liu;  Xu HL(徐歡樂);  Wing Cheong Lau
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Multi Resource Scheduling with Task Cloning in Heterogeneous Clusters Conference paper
ICPP 2022 - Proceedings of the 2022 International Conference on Parallel Processing, Inria, 2022-8-29
Authors:  Xu HL(徐歡樂);  Yang Liu;  Wing Cheong Lau
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Privacy-preserving and verifiable deep learning inference based on secret sharing Journal article
Neurocomputing, 2022,Volume: 483,Page: 221-234
Authors:  Duan, Jia;  Zhou, Jiantao;  Li, Yuanman;  Huang, Caishi
Adobe PDF | Favorite |  | TC[WOS]:1 TC[Scopus]:3 | Submit date：2022/05/04
Deep Learning Prediction  Deep Neural Network Inference  Privacy-preserving  Secure Multi-party Computation  Verifiable Computation  
An In-Depth Study of Microservice Call Graph and Runtime Performance Journal article
IEEE Transactions on Parallel and Distributed Systems, 2022
Authors:  Shutian Luo;  Xu HL(徐歡樂);  Chengzhi Lu;  Kejiang Ye;  Guoyao Xu;  Liping Zhang;  Jian He;  Chengzhong Xu
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Characterizing Microservice Dependency and Performance: Alibaba Trace Analysis Award
: 特等獎Grand Prize, 2021
Authors:  Shutian Luo;  Huanle Xu;  Chengzhi Lu;  Kejiang Ye;  Guoyao Xu;  Liping Zhang;  Yu Ding;  Jian He;  Chengzhong Xu
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PDMA: Probabilistic service migration approach for delay‐aware and mobility‐aware mobile edge computing Journal article
Software: Practice and Experience, 2021,Volume: 52,Page: 394-414
Authors:  Minxian Xu;  Qiheng Zhou;  Huaming Wu;  Weiwei Lin;  Kejiang Ye;  Chengzhong Xu
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Edge Service Allocation  Latency  Mobile Edge Computing  Service Migration  User Mobility  
Denoising in the Dark: Privacy-Preserving Deep Neural Network-Based Image Denoising Journal article
IEEE Transactions on Dependable and Secure Computing, 2021,Volume: 18,Issue: 3,Page: 1261-1275
Authors:  Zheng, Yifeng;  Duan, Huayi;  Tang, Xiaoting;  Wang, Cong;  Zhou, Jiantao
Adobe PDF | Favorite |  | TC[WOS]:9 TC[Scopus]:10 | Submit date：2021/12/07
Cloud Computing  Deep Neural Networks  Image Denoising  Privacy Preservation