2020 IEEE International Conference on Communications Workshops (ICC Workshops) 2020
DOI: 10.1109/iccworkshops49005.2020.9145304
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Enabling Named Data Networking Forwarder to Work Out-of-the-Box at Edge Networks

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Cited by 10 publications
(10 citation statements)
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“…Furthermore, some works have proposed mechanisms to make broadcast transmissions more responsive on the wireless channel. Self-learning forwarding strategy has been proposed [Shi et al 2017] and improved [Liang et al 2020] to adaptively transmit via multicast or unicast. However, this strategy does not perform layer-2 address mapping, and it is not possible to perform unicast with Native NDN without prior configuration of the layer-2 addresses.…”
Section: Throughputmentioning
confidence: 99%
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“…Furthermore, some works have proposed mechanisms to make broadcast transmissions more responsive on the wireless channel. Self-learning forwarding strategy has been proposed [Shi et al 2017] and improved [Liang et al 2020] to adaptively transmit via multicast or unicast. However, this strategy does not perform layer-2 address mapping, and it is not possible to perform unicast with Native NDN without prior configuration of the layer-2 addresses.…”
Section: Throughputmentioning
confidence: 99%
“…A broadcast-based adaptive forwarding strategy called self-learning has been proposed [Shi et al 2017] and improved [Liang et al 2020] to learn paths without needing routing algorithms. This is useful in wireless networks where nodes can be mobile and routes can change dynamically.…”
Section: Related Workmentioning
confidence: 99%
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“…There are enormous works [10][11][12][13][14][15] trying to enhance the performance of ICN forwarding, deploy ICN architectures on real hardware, or solve the bottleneck problem of ICN. In [13], the authors propose a self-learning based routing algorithm to utilize multiple routes fully and decrease deployment complexity. In [16], a hierarchical ICN cashing system is proposed and facilitate the incremental deployment of an ICN structure in the traditional network.…”
Section: Related Workmentioning
confidence: 99%
“…It can support an effective Quality of Service (QoS) approach, where network functioning is adapted to evolving conditions, increasing network trustworthiness and quality. It complements modern composite applications based on microservices, paving the way to a new generation of certified compositions tightly intertwined with networking technologies [4], [5], [25], [26]. It also supports advanced auditing and monitoring of ICN attacks such as cache poisoning and pollution thanks to the continuous certification evidence.…”
Section: Introductionmentioning
confidence: 97%