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Virtual resource allocation for information-centric heterogeneous networks with mobile edge computing

机译:使用移动边缘计算的以信息为中心的异构网络的虚拟资源分配

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In order to better accommodate the dramatically increasing demand for data caching and computing services, storage and computation capabilities should be endowed to some of the intermediate nodes within the network. In this paper, we design a novel virtualized heterogeneous networks framework aiming at enabling content caching and computing. With the virtualization of the whole system, the communication, computing and caching resources can be shared among all users associated with different virtual service providers. We formulate the virtual resource allocation strategy as a joint optimization problem, where the gains of not only virtualization but also caching and computing are taken into consideration in the proposed architecture. In addition, a distributed algorithm based on alternating direction method of multipliers is adopted to solve the formulated problem, in order to reduce the computational complexity and signaling overhead. Finally, extensive simulations are presented to show the effectiveness of the proposed scheme under different system parameters.
机译:为了更好地适应对数据缓存和计算服务的急剧增长的需求,应该为网络内的某些中间节点赋予存储和计算功能。在本文中,我们设计了一种新颖的虚拟化异构网络框架,旨在实现内容缓存和计算。通过整个系统的虚拟化,可以在与不同虚拟服务提供商关联的所有用户之间共享通信,计算和缓存资源。我们将虚拟资源分配策略表述为联合优化问题,在该架构中不仅考虑了虚拟化的好处,还考虑了缓存和计算的好处。另外,采用基于乘法器交替方向法的分布式算法来解决所提出的问题,以降低计算复杂度和信令开销。最后,进行了广泛的仿真,以表明所提出的方案在不同系统参数下的有效性。

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