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(ICWS 2020) CMU: Towards Cooperative Content Caching with User Device in Mobile Edge Networks

About This Webinar

Abstract: Content caching in mobile edge networks has stirred up tremendous research attention. However, most existing studies focus on predicting content popularity in mobile edge servers (MESs). In addition, they overlook how the content is cached, especially how to cache the content with user devices. In this paper, we propose CMU, a three-layer (Cloud-MES-Users) content caching framework and investigate the performance of different caching strategies under this framework. A user device who has cached the content can offer the content sharing service to other user devices through device-to-device communication. In addition, we prove that optimizing the transmission performance of CMU is an NP-hard problem. We provide a solution to solve this problem and describe how to calculate the number of distributed caching nodes under different parameters, including time, energy and storage. Finally, we evaluate CMU through a numerical analysis. Experiment results show that content caching with user devices could reduce the requests to Cloud and MESs, and decrease the content delivery time as well.

Authors: Zhenbei Guo and Fuliang Li (Northeastern University, China); Yuchao Zhang (Beijing University of Posts and Telecommunications, China); Changsheng Zhang (Northeastern University, China); Tian Pan (Beijing University of Posts and Telecommunications, China); Weichao Li and Yi Wang (Southern University of Science and Technology, China)

Email: guozb777@163.com, lifuliang207@126.com, yczhang@bupt.edu.cn, zhangchangsheng@mail.neu.edu.cn, pan@bupt.edu.cn, liwc@sustech.edu.cn, wy@ieee.org

Who can view: Everyone
Webinar Price: Free
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Zhenbei Guo,received the B.S. degree in information and computational science from the Northeastern University, Huangdao Qin,China in 2016, and the M.S. degree in school of computer science and engineering from the Northeastern University, Shenyang, China in 2019. He is currently working toward the Ph.D. in the Northeastern University, Shenyang, China. His research interests include mobile edge computing, Internet of things security, network management and measurement.
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