Workshops
The 2nd International Workshop on Intelligent Cloud Computing and Networking (ICCN 2020)
Opening Session
Opening Session
To Be Determined
Session Chair
To Be Determined
Session 1: Cloud Applications 1
Bottleneck-Aware Coflow Scheduling Without Prior Knowledge
Libin Liu and Hong Xu (City University of Hong Kong, Hong Kong); Chengxi Gao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China); Peng Wang (Huawei Theory Lab, China)
Revenue-Sharing based Computation-Resource Allocation for Mobile Blockchain
Yuan Wu (University of Macau, Macao); Xu Xu and Liping Qian (Zhejiang University of Technology, China); Bo Ji (Temple University, USA); Zhiguo Shi (Zhejiang University, China); Weijia Jia (University of Macau, Macao)
Session Chair
Yuan Wu
Keynote Session 1
Distributed Edge Learning for Big Data Analytics: Challenges and Trends
Song Guo (The Hong Kong Polytechnic University, Hong Kong)
Session Chair
Zhi Zhou
Session 2: Cloud Network
Edge Emergency Demand Response Control via Scheduling in Cloudlet Cluster
Zhaoyan Song, Ruiting Zhou, Shihan Zhao and Shixin Qin (Wuhan University, China); John Chi Shing Lui (Chinese University of Hong Kong, Hong Kong); Zongpeng Li (Wuhan University & University of Calgary, China)
MEM: A Multi-Staged Eviction Mechanism of Flowtable for Software-Defined Datacenters
Wei Feng, Wan Tang and XiMin Yang (South-Central University for Nationalities, China); Lu Liu (University of Leicester, United Kingdom (Great Britain))
Resource Allocation in MEC-enabled Vehicular Networks: A Deep Reinforcement Learning Approach
Guoping Tan, Huipeng Zhang and Siyuan Zhou (Hohai University, China)
Session Chair
Xinggong Zhang
Session 3: Cloud System
Terminator: An Efficient and Light-weight Fault Localization Framework
Yuxing Li (Tsinghua University, China); Hu Zheng, Chengqiang Huang, Ke Pei and Jinghui Li (Huawei, China); Longbo Huang (Tsinghua University, China)
Dynamic deployment model for large-scale compute-intensive clusters
Yunpeng Cao and Haifeng Wang (Linyi University, China); Shuqing He (Beijing University of Posts & Telecommunications, China)
Consistent User-Traffic Allocation and Load Balancing in Mobile Edge Caching
Lemei Huang, Sheng Cheng, Yu Guan, Xinggong Zhang and Zongming Guo (Peking University, China)
Session Chair
Shuaibing Lu
Session 4: Cloud Security
A Unified Federated Learning Framework for Wireless Communications: towards Privacy, Efficiency and Security
Hui Wen, Yue Wu, Chenming Yang and Hancong Duan (University of Electronic Science and Technology of China, China); Shui Yu (University of Technology Sydney, Australia)
Detecting and Mitigating ARP Attacks in SDN-Based Cloud Environment
Sixian Sun, Xiao Fu and Bin Luo (Nanjing University, China); Xiaojiang Du (Temple University, USA)
A Location-Based Path Privacy Protection Scheme in Internet of Vehicles
Haili Yu and Guangshun Li (Qufu Normal University, China); Wu Junhua (Harbin Engineering University, China); Xinrong Ren and Jiabin Cao (Qufu Normal University, China)
Session Chair
Wei Feng
Keynote Session 2
Towards Bio- and Brain-Inspired Computing and Networking: Fluctuation-induced Yuragi Control and Learning Methods
Masayuki Murata (Osaka University, Japan)
In this talk, we first introduce the “Yuragi (meaning fluctuation in Japanese) concept.” It is a universal feature of adaptability found in the natural system, which can be observed in various biological systems including the human brain. It is formulated as the Yuragi theory as a simple canonical formula for explaining the adaptability in the natural system. Then, we move to the Yuragi control, which is an application of the Yuragi theory to handle the control system in artificial systems. We demonstrate its applicability by utilizing it in several networking systems. The Yuragi theory can be further extended as the machine learning approach by incorporating the Bayesian attractor model. It is called Yuragi learning, and we again show its application to the networking systems.
Session Chair
Ruidong Li
Session 5: Cloud Applications 2
An NFV MANO Architecture with a Resource Allocation Mechanism Based on Game Theory
David H. S. Lima (University of Coimbra & Federal Institute of Alagoas, Brazil); Andre Aquino (Federal University of Alagoas, Brazil); Marilia Curado (University of Coimbra, Portugal)
Transcoding for Live Streaming-based on Vehicular Fog Computing: An Actor-Critic DRL Approach
Fang Fu and Yunpeng Kang (Shanxi University, China); Zhicai Zhang and F. Richard Yu (Carleton University, Canada)
Detection of Temporal Communities in Mobile Social Networks
Mengni Ruan and Huan Zhou (China Three Gorges University, China); Dawei Li (Montclair State University, USA); Xuxun Liu (South China University of Technology, China); Qingyong Deng (XiangTan University, China)
Session Chair
Juan Fang
Session 6: Edge Cloud
Follow Me, If You Can: A Framework for Seamless Migration in Mobile Edge Cloud
Tung Doan (Technische Universität Dresden & Deutsche Telekom Chair of Communication Networks, Germany); Zhongyi Fan (Cloud Product Research & Development, Alibaba Cloud, China); Giang T. Nguyen (Technische Universität Dresden, Germany); Hani Salah (TU Dresden, Germany); Dongho You (Technische Universität Dresden & The Deutsche Telekom Chair of Communication Networks, Germany); Frank H.P. Fitzek (Technische Universität Dresden & ComNets - Communication Networks Group, Germany)
Joint Network Selection and Traffic Allocation in Multi-Access Edge Computing-Based Vehicular Crowdsensing
Luning Liu (BUPT, China); Luhan Wang (Beijing University of Posts and Telecommunications, China); Xiang Ming Wen (Beijing University of posts and telecommunications, China)
A Scheduling Strategy for Reduced Power Consumption in Mobile Edge Computing
Juan Fang, Yong Chen and Shuaibing Lu (Beijing University of Technology, China)
Incentive Mechanism Design for Edge-Cloud Collaboration in Mobile Crowd Sensing
Lihan Zhang and Zhuo Li (Beijing Information Science and Technology University, China); Xin Chen (Beijing Information Science & Technology University, China)
Session Chair
Hui Wen
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