Youhuizi Li
Hangzhou Dianzi University
36 Papers
75 Citations
Youhuizi Li is an academic researcher from Hangzhou Dianzi University. The author has contributed to research in topics: Computer science & Efficient energy use. The author has an hindex of 7, co-authored 28 publications. Previous affiliations of Youhuizi Li include Wayne State University & Capital Normal University.
Chat about Author
Papers
Edge Computing: Vision and Challenges
TL;DR: The definition of edge computing is introduced, followed by several case studies, ranging from cloud offloading to smart home and city, as well as collaborative edge to materialize the concept of edge Computing.
7.1K
V2VR: Reliable Hybrid-Network-Oriented V2V Data Transmission and Routing Considering RSUs and Connectivity Probability
TL;DR: A reliable VANET routing decision scheme based on the Manhattan mobility model is proposed, which considers the integration of roadside units (RSUs) into wireless and wired modes for data transmission and routing optimization and can support real-time planning and improve network transmission performance.
266
PPO2: Location Privacy-Oriented Task Offloading to Edge Computing Using Reinforcement Learning for Intelligent Autonomous Transport Systems
Honghao Gao,Wanqiu Huang,Tong Liu,Yuyu Yin,Youhuizi Li +4 more
- 01 Jul 2023
TL;DR: Wang et al. as discussed by the authors proposed a privacy-oriented task offloading method that can resist attacks from privacy attackers with prior knowledge, where the local computing model, channel model, and privacy loss model are defined and used to quantify evaluation indicators, such those related to privacy, time, and energy.
62
Energy efficiency comparison of hypervisors
Congfeng Jiang,Congfeng Jiang,Yumei Wang,Dongyang Ou,Youhuizi Li,Jilin Zhang,Jian Wan,Bing Luo,Weisong Shi +8 more
TL;DR: The power and energy characteristics of four mainstream hypervisors and a container engine are investigated on six different platforms with power measurements made over prolonged periods to emulate realistic multi-tenant cloud environments.
47
Fine-grained power management using process-level profiling
Hui Chen,Youhuizi Li,Weisong Shi +2 more
TL;DR: A process-level power profiling tool called pTopW, which runs on Windows platform, and a power-aware system module called EnergyGuard, which can eliminate energy wasted by abnormal-behavior applications, are proposed.
43