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Optimal edge server deployment and allocation strategy in 5G ultra-dense networking environments Journal article
Pervasive and Mobile Computing, 2021,Volume: 72
Authors:  Li,Bo;  Hou,Peng;  Wu,Hao;  Hou,Fen
Favorite |  | TC[WOS]:1 TC[Scopus]:1 | Submit date:2021/03/11
Average completion time  Computation offloading  Edge server deployment  Mobile edge computing  Ultra-dense network  
CoOMO: Cost-efficient computation outsourcing with multi-site offloading for mobile-edge services Conference paper
Proceedings - 2020 16th International Conference on Mobility, Sensing and Networking, MSN 2020
Authors:  Meng,Tianhui;  Wu,Huaming;  Shang,Zhihao;  Zhao,Yubin;  Xu,Cheng Zhong
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/05/31
Computation outsourcing  Mobile-edge computing  Multi-site offloading  Queueing networks  
HySync: Hybrid Federated Learning with Effective Synchronization Conference paper
Proceedings - 2020 IEEE 22nd International Conference on High Performance Computing and Communications, IEEE 18th International Conference on Smart City and IEEE 6th International Conference on Data Science and Systems, HPCC-SmartCity-DSS 2020
Authors:  Shi,Guomei;  Li,Li;  Wang,Jun;  Chen,Wenyan;  Ye,Kejiang;  Xu,Chengzhong
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Efficient scheduling  Federated learning  hybrid algorithm  
A novel approach for CPU load prediction of cloud server combining denoising and error correction Journal article
Computing, 2020
Authors:  Deguang You;  Weiwei Lin;  Fang Shi;  Jianzhuo Li;  Deyu Qi;  Simon Fong
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Data Centers  Load Prediction  Error Correction  Long Short-term Memory  Denoising  
SMig-RL: An evolutionary migration framework for cloud services based on deep reinforcement learning Journal article
ACM Transactions on Internet Technology, 2020,Volume: 20,Issue: 4
Authors:  Ren,Hongshuai;  Wang,Yang;  Xu,Chengzhong;  Chen,Xi
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Cloud Computing  Deep Reinforcement Learning  Dynamic Service Migration  Mobile Access  Q-learning  Rnn  
A hardware-aware CPU power measurement based on the power-exponent function model for cloud servers Journal article
Information Sciences, 2020,Volume: 547,Page: 1045-1065
Authors:  Weiwei Lin;  Tianhao Yu;  Chongzhi Gao;  Fagui Liu;  Tengyue Li;  Simon Fong;  Yongxiang Wang
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Power Model  Power Measurement  Power-exponent Function  Hardware-aware  
RS-pCloud: A Peer-to-Peer Based Edge-Cloud System for Fast Remote Sensing Image Processing Conference paper
Proceedings - 2020 IEEE 13th International Conference on Edge Computing, EDGE 2020
Authors:  Sun,Tongzheng;  Xiong,Jingpan;  Wang,Yang;  Meng,Tianhui;  Chen,Xi;  Xu,Chengzhong
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edge-cloud architecture  load sharing  near-data computing  Peer-to-Peer  remote sensing image  
NLC: An Efficient Caching Algorithm Based on Non-critical Path Least Counts for In-Memory Computing Conference paper
CLOUD 2020: Cloud Computing – CLOUD 2020, Honolulu, HI, 18 September 2020 - 20 September 2020
Authors:  Jingya Lv;  Yang Wang;  Tianhui Meng;  Cheng-zhong Xu
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PLMSys: A Cloud Monitoring System Based on Cluster Performance and Container Logs Conference paper
CLOUD 2020: Cloud Computing – CLOUD 2020, Honolulu, HI, September 18-20, 2020
Authors:  Yongzhong Sun;  Kejiang Ye;  Cheng-Zhong Xu
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Cloud Monitoring  Log Collection  Rule-based Alerts  Workload Analysis  Data Visualization  
Understanding the Workload Characteristics in Alibaba: A View from Directed Acyclic Graph Analysis Conference paper
2020 International Conference on High Performance Big Data and Intelligent Systems, HPBD and IS 2020, Shenzhen, China, 23-23 May 2020
Authors:  Lu,Chengzhi;  Chen,Wenyan;  Ye,Kejiang;  Xu,Cheng Zhong
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/09
Cloud Computing  Dependency Graph Analysis  Workload Characterization  Workload Type