P4DNS: In-Network DNS

Woodruff, Jackson; Ramanujam, Murali; Zilberman, Noa

doi:10.1109/ancs.2019.8901896

Cited by 36 publications

(8 citation statements)

References 13 publications

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“…However, in-network computing has the potential to be applied in scenarios with large space of functionalities at which fitting the required functionality in a single device is not possible. An example of such collaborative scenario is the study in [176], at which switches play the role of a DNS server. As the domain name space can be large and cannot fit into a single switch, an iterative resolution is implemented by referring from one switch to another switch.…”

Section: E Generic Research Directionsmentioning

confidence: 99%

A Survey on In-Network Computing: Programmable Data Plane and Technology Specific Applications

Kianpisheh

Taleb

2023

IEEE Commun. Surv. Tutorials

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In comparison with cloud computing, edge computing offers processing at locations closer to end devices and reduces the user experienced latency. The new recent paradigm of innetwork computing employs programmable network elements to compute on the path and prior to traffic reaching the edge or cloud servers. It advances common edge/cloud server based computing through proposing line rate processing capabilities at closer locations to the end devices. This paper discusses use cases, enabler technologies and protocols for in-network computing. According to our study, considering programmable data plane as an enabler technology, potential in-network computing applications are in-network analytics, in-network caching, innetwork security, and in-network coordination. There are also technology specific applications of in-network computing in the scopes of cloud computing, edge computing, 5G/6G, and NFV. In this survey, the state of the art, in the framework of the proposed categorization, is reviewed. Furthermore, comparisons are provided in terms of a set of proposed criteria which assess the methods from the aspects of methodology, main results, as well as application-specific criteria. Finally, we discuss lessons learned and highlight some potential research directions.

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Section: E Generic Research Directionsmentioning

confidence: 99%

A Survey on In-Network Computing: Programmable Data Plane and Technology Specific Applications

Kianpisheh

Taleb

2023

IEEE Commun. Surv. Tutorials

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“…In the same way that the networking infrastructure advanced in programmability, it also advanced in computational power. With new programmable network hardware and accelerators on the market, such as Smart Network Interface Cards (Smart-NICs) [24], Graphics Processing Units (GPUs) [25], and FP-GAs [26], a new generation of programmable network devices is flooding the market, enabling computation to be performed within the network. However, in-network computing is still in its infancy, with most works targeting networking-related applications, such as caching [27], storage [28], and data aggregation [12], with only a few recent works aiming at other areas such as artificial intelligence [29], [30] and adaptive video rates [31], [32].…”

Section: Background and Related Workmentioning

confidence: 99%

Improving Content-Aware Video Streaming in Congested Networks with In-Network Computing

Gobatto¹,

Saquetti²,

Diniz³

et al. 2022

Preprint

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Network congestion and packet loss pose an everincreasing challenge to video streaming. Despite the research efforts toward making video encoding schemes resilient to lossy network conditions, forwarding devices have not considered monitoring packet content to prioritize packets and minimize the impact of packet loss on video transmission. In this work, we advocate in favor of in-network computing employing a packet drop algorithm and an in-network hardware module to devise a solution for improving content-aware video streaming in congested network. Results show that our approach can reduce intra-predicted packet loss by over 80% at negligible resource usage and performance costs.

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“…P4DNS [12] is an in-network cache for storing DNS entries. Evaluations of P4DNS show that it outperforms other CPUbased counterparts, where P4DNS has a significantly higher throughput and lower latency.…”

Section: A Dns and Security Implementations In P4mentioning

confidence: 99%

P4DDPI: Securing P4-Programmable Data Plane Networks via DNS Deep Packet Inspection

AlSabeh¹,

Kfoury²,

Crichigno³

et al. 2022

Proceedings 2022 Workshop on Measurements, Attacks, and Defenses for the Web

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P4DNS: In-Network DNS

Cited by 36 publications

References 13 publications

A Survey on In-Network Computing: Programmable Data Plane and Technology Specific Applications

A Survey on In-Network Computing: Programmable Data Plane and Technology Specific Applications

Improving Content-Aware Video Streaming in Congested Networks with In-Network Computing

P4DDPI: Securing P4-Programmable Data Plane Networks via DNS Deep Packet Inspection

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