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Security and performance-aware resource allocation for enterprise multimedia in mobile edge computing

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Abstract

Mobile edge computing (MEC) is a promising computing model and has gained remarkable popularity, as it deploys the resources (e.g., computation, network, and storage) to the evolved NodeB (eNB) to provide enormous benefits such as low delay and energy consumption. More and more enterprises construct their edge computing platforms to store multimedia contents (i.e., video, audio, photos, and text data) for the user equipment (UE). However, both the eNB and UEs will experience serious security attacks when transmitting or receiving multimedia data via the wireless network. Existing MEC studies mainly focus on task offloading and performance improvement without considering the enterprise multimedia security problem. This paper proposes a security and performance-aware resource allocation (Spara) algorithm for enterprise multimedia in MEC environment. More specifically, we first build the architecture of enterprise multimedia security for sending the data requests to UEs, which mainly consists of computing and bandwidth resource allocation. Then, we formulate the stochastic data transmission problem to minimize the delay and energy consumption of UEs subject to the security guarantee. To achieve this goal, two queues, namely front-end queue and back-end queue, are used for each UE, and the Lyapunov optimization technique is applied to determine how to allocate the computing and bandwidth resources. Rigorous theoretical analysis shows that Spara algorithm meets the [O(1/V), O(V)] energy-delay tradeoff. Extensive simulation experiments validate this analysis result and the effectiveness of Spara algorithm.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. 61802095, 61802167, 61572162, 61702144), the Zhejiang Provincial Key Science and Technology Project Foundation (No. 2018C01012), the Zhejiang Provincial National Science Foundation of China (No. LQ19F020011, LQ17F020003), the Open Foundation of State Key Laboratory of Networking and Switching Technology (Beijing University of Posts and Telecommunications) (No. SKLNST-2019-2-15).

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Authors and Affiliations

  1. School of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, China

    Zhongjin Li, Haiyang Hu, Binbin Huang, Jie Chen & Hua Hu

  2. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China

    Zhongjin Li, Haiyang Hu & Binbin Huang

  3. Software Institute, Nanjing University, Nanjing, China

    Chuanyi Li

  4. Institute of Service Engineering, Hangzhou Normal University, Hangzhou, China

    Hua Hu

  5. Department of Computer Science and Engineering, Southern Methodist University, Dallas, TX, USA

    Liguo Huang

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  1. Zhongjin Li
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Correspondence to Haiyang Hu.

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Li, Z., Hu, H., Huang, B. et al. Security and performance-aware resource allocation for enterprise multimedia in mobile edge computing. Multimed Tools Appl 79, 10751–10780 (2020). https://doi.org/10.1007/s11042-019-08557-2

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  • DOI: https://doi.org/10.1007/s11042-019-08557-2

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