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.
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References
Cisco: Cisco visual networking index: global mobile data traffic forecast update, 2017–2022 (2019)
Wang, X., Chen, M., Taleb, T., Ksentini, A., Leung, V.C.M.: Cache in the air: exploiting content caching and delivery techniques for 5G systems. IEEE Commun. Mag. 52(2), 131–139 (2014)
Wang, S., Zhang, X., Zhang, Y., Wang, L., Yang, J., Wang, W.: A survey on mobile edge networks: convergence of computing, caching and communications. IEEE Access 5, 6757–6779 (2017)
Liu, D., Yang, C.: Energy efficiency of downlink networks with caching at base stations. IEEE J. Sel. Areas Commun. 34(4), 907–922 (2016)
Chen, J., Chen, S., Wang, Q., Cao, B., Feng, G., Hu, J.: iRAF: a deep reinforcement learning approach for collaborative mobile edge computing IoT networks. IEEE Internet Things J. 6(4), 7011–7024 (2019)
Jiang, W., Feng, G., Qin, S., Liang, Y.: Learning-based cooperative content caching policy for mobile edge computing. In: 2019 IEEE International Conference on Communications, ICC 2019, Shanghai, China, 20–24 May 2019, pp. 1–6 (2019)
Ale, L., Zhang, N., Wu, H., Chen, D., Han, T.: Online proactive caching in mobile edge computing using bidirectional deep recurrent neural network. IEEE Internet Things J. 6(3), 5520–5530 (2019)
Cui, Q., et al.: Stochastic online learning for mobile edge computing: learning from changes. IEEE Commun. Mag. 57(3), 63–69 (2019)
Liu, M., Yu, F.R., Teng, Y., Leung, V.C.M., Song, M.: Computation offloading and content caching in wireless blockchain networks with mobile edge computing. IEEE Trans. Veh. Technol. 67(11), 11008–11021 (2018)
Zhang, S., He, P., Suto, K., Yang, P., Zhao, L., Shen, X.: Cooperative edge caching in user-centric clustered mobile networks. IEEE Trans. Mob. Comput. 17(8), 1791–1805 (2018)
Yu, D., Ning, L., Zou, Y., Yu, J., Cheng, X., Lau, F.C.M.: Distributed spanner construction with physical interference: constant stretch and linear sparseness. IEEE/ACM Trans. Networking 25(4), 2138–2151 (2017)
Xu, J., Chen, L., Zhou, P.: Joint service caching and task offloading for mobile edge computing in dense networks. In: 2018 IEEE Conference on Computer Communications, INFOCOM 2018, 16–19 April 2018, pp. 207–215 (2018)
Wang, Z., Li, F., Wang, X., Li, T., Hong, T.: A wifi-direct based local communication system. In: 2018 IEEE/ACM 26th International Symposium on Quality of Service (IWQoS), June 2018, pp. 1–6 (2018)
Li, F., Wang, X., Wang, Z., Cao, J., Liu, X., et al.: A local communication system over Wi-Fi direct: implementation and performance evaluation. IEEE Internet Things J. (2020). https://doi.org/10.1109/JIOT.2020.2976114
Bai, B., Wang, L., Han, Z., Chen, W., Svensson, T.: Caching based socially-aware D2D communications in wireless content delivery networks: a hypergraph framework. IEEE Wirel. Commun. 23(4), 74–81 (2016)
Wu, D., Liu, Q., Wang, H., Yang, Q., Wang, R.: Cache less for more: exploiting cooperative video caching and delivery in D2D communications. IEEE Trans. Multimedia 21(7), 1788–1798 (2019)
Zhang, W., Wu, D., Yang, W., Cai, Y.: Caching on the move: a user interest-driven caching strategy for D2D content sharing. IEEE Trans. Veh. Technol. 68(3), 2958–2971 (2019)
Paakkonen, J., Barreal, A., Hollanti, C., Tirkkonen, O.: Coded caching clusters with device-to-device communications. IEEE Trans. Mob. Comput. 18(02), 264–275 (2019)
Asheralieva, A., Niyato, D.: Game theory and Lyapunov optimization for cloud-based content delivery networks with device-to-device and UAV–enabled caching. IEEE Trans. Veh. Technol. 68, 10094–10110 (2019)
Li, J., et al.: On social-aware content caching for D2D-enabled cellular networks with matching theory. IEEE Internet Things J. 6(1), 297–310 (2019)
Wang, J., Cheng, M., Yan, Q., Tang, X.: On the placement delivery array design for coded caching scheme in D2D networks. IEEE Trans. Commun., 12 (2017)
Jiang, L., Feng, G., Qin, S.: Cooperative content distribution for 5G systems based on distributed cloud service network. In: 2015 IEEE International Conference on Communication Workshop (ICCW), June 2015, pp. 1125–1130 (2015)
Kai, Y., Wang, J., Zhu, H.: Energy minimization for D2D-assisted mobile edge computing networks. In: ICC 2019–2019 IEEE International Conference on Communications (ICC), May 2019, pp. 1–6 (2019)
Zhang, X., Zhu, Q.: Distributed mobile devices caching over edge computing wireless networks. In: 2017 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), May 2017, pp. 127–132 (2017)
Hayat, O., Ngah, R., Hashim, S., Dahri, M., et al.: Device discovery in D2D communication: a survey. IEEE Access 7, 131114–131134 (2019)
Blasco, P., Gündüz, D.: Learning-based optimization of cache content in a small cell base station. In: 2014 IEEE International Conference on Communications (ICC), June 2014, pp. 1897–1903 (2014)
Acknowledgment
The work is supported by the National Key Research and Development Program of China under Grant Nos. 2018YFB1702000, 2018YFB1800201 and 2019YFB1802600; the National Natural Science Foundation of China under Grant Nos. 61602105, 61702049 and 61872420; the project of PCL Future Greater-Bay Area Network Facilities for Large-scale Experiments and Applications under Grant No. LZC0019; the Guangdong Key Research and Development Program under Grant No. 2019B121204009; the Fundamental Research Funds for the Central Universities under Grant Nos. N2016005, N171604006 and 2019RC03; CERNET Innovation Project under Grant Nos. NGII20170121 and NGII20180101.
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Guo, Z. et al. (2020). CMU: Towards Cooperative Content Caching with User Device in Mobile Edge Networks. In: Ku, WS., Kanemasa, Y., Serhani, M.A., Zhang, LJ. (eds) Web Services – ICWS 2020. ICWS 2020. Lecture Notes in Computer Science(), vol 12406. Springer, Cham. https://doi.org/10.1007/978-3-030-59618-7_14
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DOI: https://doi.org/10.1007/978-3-030-59618-7_14
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