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  • Open Access

    ARTICLE

    A DQN-Based Cache Strategy for Mobile Edge Networks

    Siyuan Sun1,*, Junhua Zhou2, Jiuxing Wen3, Yifei Wei1, Xiaojun Wang4

    CMC-Computers, Materials & Continua, Vol.71, No.2, pp. 3277-3291, 2022, DOI:10.32604/cmc.2022.020471

    Abstract The emerging mobile edge networks with content caching capability allows end users to receive information from adjacent edge servers directly instead of a centralized data warehouse, thus the network transmission delay and system throughput can be improved significantly. Since the duplicate content transmissions between edge network and remote cloud can be reduced, the appropriate caching strategy can also improve the system energy efficiency of mobile edge networks to a great extent. This paper focuses on how to improve the network energy efficiency and proposes an intelligent caching strategy according to the cached content distribution model for mobile edge networks based… More >

  • Open Access

    ARTICLE

    Efficient Virtual Resource Allocation in Mobile Edge Networks Based on Machine Learning

    Li Li1,*, Yifei Wei1, Lianping Zhang2, Xiaojun Wang3

    Journal of Cyber Security, Vol.2, No.3, pp. 141-150, 2020, DOI:10.32604/jcs.2020.010764

    Abstract The rapid growth of Internet content, applications and services require more computing and storage capacity and higher bandwidth. Traditionally, internet services are provided from the cloud (i.e., from far away) and consumed on increasingly smart devices. Edge computing and caching provides these services from nearby smart devices. Blending both approaches should combine the power of cloud services and the responsiveness of edge networks. This paper investigates how to intelligently use the caching and computing capabilities of edge nodes/cloudlets through the use of artificial intelligence-based policies. We first analyze the scenarios of mobile edge networks with edge computing and caching abilities,… More >

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