Mobile Edge Fog Computing in 5G Era: Architecture and Implementation

Shubhranshu Singh, Yen-Chang Chiu, Y. Tsai, Jen-Shun Yang
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引用次数: 44

Abstract

In the recent past there has been much research and development on cloud based computing. While cloud computing provides huge opportunities, it also imposes several challenges. One of the challenges that current data network operators and future 5G network are foreseeing is huge increase in data traffic. To fulfill such exponential data traffic growth, along with other user expectation, requires multiple innovative approaches and re-consideration of the current network design principals. Mobile Edge Fog computing, as proposed in this paper offers huge opportunities to future data network operators, as well as to equipment vendors. Due to its relatively newer concept, still much research is ongoing and detail architecture is still evolving. This paper proposes and discusses a novel Mobile Edge Computing design and architecture, along with real-time implementation details of the proposed solutions. It exploits many benefits of D2D by incorporating D2D functionalities into the proposed relay-gateways. The application running on top of the proposed network shows significant benefits e.g. in terms of delay as well as core-network signalling and data offloading.
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5G时代的移动边缘雾计算:架构与实现
最近,人们对基于云的计算进行了大量的研究和开发。虽然云计算提供了巨大的机会,但它也带来了一些挑战。当前数据网络运营商和未来5G网络所面临的挑战之一是数据流量的巨大增长。为了满足这种指数级的数据流量增长,以及其他用户的期望,需要多种创新方法和重新考虑当前的网络设计原则。本文提出的移动边缘雾计算为未来的数据网络运营商以及设备供应商提供了巨大的机会。由于其相对较新的概念,仍有许多研究正在进行中,细节架构仍在发展中。本文提出并讨论了一种新的移动边缘计算设计和架构,以及所提出的解决方案的实时实现细节。通过将D2D功能集成到提议的中继网关中,它利用了D2D的许多优点。在提议的网络上运行的应用程序显示出显著的好处,例如在延迟以及核心网络信令和数据卸载方面。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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