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Fog computing support scheme based on fusion of location service and privacy preservation for QoS enhancement

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Abstract

In the case of large-scale concurrent multimedia services, the resource utilization, QoS guarantee ability and system execution efficiency of distributed multimedia systems are facing many challenges. In order to further solve the above problems, this paper introduces fog computing into distributed multimedia systems and large-scale concurrent multimedia services, and considers the privacy protection of location services. Firstly, in order to solve the limitations of computing, storage, energy continuity, network access and other aspects of the fog node mobile devices, the framework of the fog computing multimedia information service system is constructed to obtain accurate location service data of the mobile terminal. At the same time, collaborative control of fog nodes, fog computing support nodes, public networks and other devices, to achieve the various functions of multimedia services. Secondly, to further improve the efficiency and security of fog computing, this section studies the time slice, bandwidth, hardware and other network resource allocation and management algorithms. Finally, the superiority and feasibility of the proposed algorithm in enhancing QoS performance are validated from different aspects of mathematical analysis and simulation experiments. For example, the resource utilization of multimedia system is increased by 1.34 times, and the load balancing capability and real-time guarantee are improved.

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Acknowledgments

This work is supported in part by the National Natural Science Foundation of China (No. 61802115, No. 61401512), Henan province science and technology projects (No. 182102310925), and Key scientific research projects of Henan Province Education Department (No.18A520004).

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Authors and Affiliations

  1. Zhengzhou Science and Technology Institute, Zhengzhou, 450002, China

    Yan Chen & Daofu Gong

  2. State Key Laboratory of Mathematical Engineering and Advanced Computing, Zhengzhou, 450002, China

    Yan Chen, Yu Wang & Daofu Gong

  3. College of Computer Science, Henan University of Engineering, Zhengzhou, 451191, China

    Yu Wang

Authors
  1. Yan Chen
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  2. Yu Wang
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Correspondence to Daofu Gong.

Additional information

This article is part of the Topical Collection: Special Issue on Fog/Edge Networking for Multimedia Applications

Guest Editors: Yong Jin, Hang Shen, Daniele D'Agostino, Nadjib Achir, and James Nightingale

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Chen, Y., Wang, Y. & Gong, D. Fog computing support scheme based on fusion of location service and privacy preservation for QoS enhancement. Peer-to-Peer Netw. Appl. 12, 1480–1488 (2019). https://doi.org/10.1007/s12083-019-00722-6

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  • DOI: https://doi.org/10.1007/s12083-019-00722-6

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