TY - GEN
T1 - Caching Scheme with Edge Nodes for Mobile Cyber Physical Systems
AU - Xu, Qichao
AU - Su, Zhou
AU - Hui, Yilong
AU - Yang, Qing
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - To improve user's quality of experience (QoE) in Mobile Cyber Physical Systems (MCPS), caching layered contents at a group of edge nodes that are close to mobile users has been advocated as an efficient solution. However, due to the complexity of trust management and the limited caching capacity of edge nodes, designing an efficient caching scheme for edge nodes becomes a challenge. In this paper, we propose a novel caching scheme for edge nodes in MCPS. Firstly, layered contents are cached at edge nodes so that a flexibility of content quality can be achieved. Secondly, the trustworthiness of edge nodes are evaluated and updated, based on mobile users' feedback after they obtain the cached contents. Thirdly, mobile users' demands in different social communities are analyzed based on the unconstrained nonlinear programming and optimized with the gradient descent algorithm. A max-min based caching scheme is presented to select a group of trustworthy edge nodes to allocate caching resources for mobile users. Finally, we evaluate the proposed work in simulations and results show that the presented scheme not only improves the utilities of edge nodes but also increases the QoE of mobile users.
AB - To improve user's quality of experience (QoE) in Mobile Cyber Physical Systems (MCPS), caching layered contents at a group of edge nodes that are close to mobile users has been advocated as an efficient solution. However, due to the complexity of trust management and the limited caching capacity of edge nodes, designing an efficient caching scheme for edge nodes becomes a challenge. In this paper, we propose a novel caching scheme for edge nodes in MCPS. Firstly, layered contents are cached at edge nodes so that a flexibility of content quality can be achieved. Secondly, the trustworthiness of edge nodes are evaluated and updated, based on mobile users' feedback after they obtain the cached contents. Thirdly, mobile users' demands in different social communities are analyzed based on the unconstrained nonlinear programming and optimized with the gradient descent algorithm. A max-min based caching scheme is presented to select a group of trustworthy edge nodes to allocate caching resources for mobile users. Finally, we evaluate the proposed work in simulations and results show that the presented scheme not only improves the utilities of edge nodes but also increases the QoE of mobile users.
KW - Cyber mobile networks
KW - caching schemes
KW - edge computing
KW - layered video contents
UR - https://www.scopus.com/pages/publications/85038013160
U2 - 10.1109/DASC-PICom-DataCom-CyberSciTec.2017.30
DO - 10.1109/DASC-PICom-DataCom-CyberSciTec.2017.30
M3 - 会议稿件
AN - SCOPUS:85038013160
T3 - Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017
SP - 95
EP - 100
BT - Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017
Y2 - 6 November 2017 through 11 November 2017
ER -