Fog-Computing-Enabled Cognitive Network Function Virtualization for an Information-Centric Future Internet
Fog-Computing-Enabled Cognitive Network Function Virtualization for an Information-Centric Future Internet
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DOI：
10.1109/mcom.2019.1800778
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发表时间：
2019-07
影响因子：
11.2
通讯作者：
Jun Wu-;M. Dong;K. Ota;Jianhua Li;Wu Yang;Mei Wang
中科院分区：
文献类型：
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作者：
Jun Wu-;M. Dong;K. Ota;Jianhua Li;Wu Yang;Mei Wang
以信息为中心的网络(ICN)是影响互联网未来的重要趋势。ICN在实现高性能的同时，迎合了海量内容消费模式。以信息为中心的未来互联网中的新功能，如缓存、基于名称的路由和基于内容的安全，给分散的环境带来了新的挑战。一方面，在以信息为中心的未来互联网中，边缘的处理能力需要对大量内容进行智能分析。另一方面，计算和存储资源需要根据用户对内容的认知按需进行配置和控制。为了应对这些挑战，本文提出了一种支持雾计算的认知网络功能虚拟化方法，以实现以信息为中心的未来互联网。我们首先提出了一种按需缓存功能的虚拟化方案，并设计了FOG节点与未来Internet节点之间的通信方案，用于转发过程。然后，为了实现对相关操作(即路由、缓存策略和安全)的智能控制，我们提出了一种控制功能虚拟化方法。最后，提出了一种认知资源配置机制。仿真结果表明了该方法的优越性和有效性。
Information-centric networking (ICN) is an important trend that will impact the future of the Internet. ICN caters to large content consumption patterns while achieving high performance. New features in the information-centric future Internet, such as caching, name-based routing, and content-based security, bring novel challenges to a decentralized environment. On one hand, the processing capabilities on the edge in an information-centric future Internet need to implement smart analysis for large quantities of content. On the other hand, the computational and storage resources need to be configured and controlled on demand and based on cognition of the content from users. To address these challenges, this article proposes a fog-computing- enabled cognitive network functions virtualization approach for an information-centric future Internet. We first propose an on-demand caching function virtualization scheme and design a communication scheme between the fog nodes and the future Internet nodes for the forwarding process. Then, to attain smart control for related operations (i.e., routing, cache policy, and security), we propose a control function virtualization approach. Finally, a cognitive resource configuration mechanism is proposed. The simulation results show the advantages and efficiency of the proposed approach.