Skip to main content
Top

2020 | OriginalPaper | Chapter

Towards Named AI Networking: Unveiling the Potential of NDN for Edge AI

Authors : Claudia Campolo, Gianmarco Lia, Marica Amadeo, Giuseppe Ruggeri, Antonio Iera, Antonella Molinaro

Published in: Ad-Hoc, Mobile, and Wireless Networks

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Thanks to recent advancements in edge computing, the traditional centralized cloud-based approach to deploy Artificial Intelligence (AI) techniques will be soon replaced or complemented by the so-called edge AI approach. By pushing AI at the network edge, close to the large amount of raw input data, the traffic traversing the core network as well as the inference latency can be reduced. Despite such neat benefits, the actual deployment of edge AI across distributed nodes raises novel challenges to be addressed, such as the need to enforce proper addressing and discovery procedures, to identify AI components, and to chain them in an interoperable manner. Named Data Networking (NDN) has been recently argued as one of the main enablers of network and computing convergence, which edge AI should build upon. However, the peculiarities of such a new paradigm entails to go a step further. In this paper we disclose the potential of NDN to support the orchestration of edge AI. Several motivations are discussed, as well as the challenges which serve as guidelines for progress beyond the state of the art in this topic.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Wang, X., et al.: Convergence of edge computing and deep learning: a comprehensive survey. IEEE Commun. Surv. Tutorials 22(2), 869–904 (2020)CrossRef Wang, X., et al.: Convergence of edge computing and deep learning: a comprehensive survey. IEEE Commun. Surv. Tutorials 22(2), 869–904 (2020)CrossRef
2.
go back to reference Ramos, E., et al.: Distributing intelligence to the edge and beyond. IEEE Comput. Intell. Mag. 14(4), 65–92 (2019)CrossRef Ramos, E., et al.: Distributing intelligence to the edge and beyond. IEEE Comput. Intell. Mag. 14(4), 65–92 (2019)CrossRef
3.
go back to reference Amadeo, M., et al.: NDNe: enhancing named data networking to support cloudification at the edge. IEEE Commun. Lett. 20(11), 2264–2267 (2016)CrossRef Amadeo, M., et al.: NDNe: enhancing named data networking to support cloudification at the edge. IEEE Commun. Lett. 20(11), 2264–2267 (2016)CrossRef
4.
go back to reference Scherb, C., et al.: Resolution strategies for networking the IoT at the edge via named functions. In: 2018 15th IEEE CCNC, pp. 1–6 (2018) Scherb, C., et al.: Resolution strategies for networking the IoT at the edge via named functions. In: 2018 15th IEEE CCNC, pp. 1–6 (2018)
5.
go back to reference Mtibaa, A., et al.: Towards edge computing over named data networking. In: 2018 IEEE International Conference on Edge Computing (EDGE), pp. 117–120 (2018) Mtibaa, A., et al.: Towards edge computing over named data networking. In: 2018 IEEE International Conference on Edge Computing (EDGE), pp. 117–120 (2018)
6.
go back to reference Amadeo, M., et al.: IoT services allocation at the edge via named data networking: from optimal bounds to practical design. IEEE Trans. Netw. Serv. Manage. 16(2), 661–674 (2019)CrossRef Amadeo, M., et al.: IoT services allocation at the edge via named data networking: from optimal bounds to practical design. IEEE Trans. Netw. Serv. Manage. 16(2), 661–674 (2019)CrossRef
7.
go back to reference Zhang, L., et al.: Named data networking. ACM SIGCOMM Comput. Commun. Rev. 44(3), 66–73 (2014)CrossRef Zhang, L., et al.: Named data networking. ACM SIGCOMM Comput. Commun. Rev. 44(3), 66–73 (2014)CrossRef
8.
go back to reference Tschudin, C., Sifalakis, M.: Named functions and cached computations. In: IEEE CCNC, pp. 851–857 (2014) Tschudin, C., Sifalakis, M.: Named functions and cached computations. In: IEEE CCNC, pp. 851–857 (2014)
9.
go back to reference Wang, X., Han, Y., Wang, C., Zhao, Q., Chen, X., Chen, M.: In-edge AI: intelligentizing mobile edge computing, caching and communication by federated learning. IEEE Network 33(5), 156–165 (2019)CrossRef Wang, X., Han, Y., Wang, C., Zhao, Q., Chen, X., Chen, M.: In-edge AI: intelligentizing mobile edge computing, caching and communication by federated learning. IEEE Network 33(5), 156–165 (2019)CrossRef
10.
go back to reference Quevedo, J., et al.: Consumer driven information freshness approach for content centric networking. In: 2014 IEEE INFOCOM Workshop, pp. 482–487 (2014) Quevedo, J., et al.: Consumer driven information freshness approach for content centric networking. In: 2014 IEEE INFOCOM Workshop, pp. 482–487 (2014)
11.
go back to reference Carzaniga, A., et al.: Content-based publish/subscribe networking and information-centric networking. In: ACM SIGCOMM Workshop on Information-centric Networking, pp. 56–61 (2011) Carzaniga, A., et al.: Content-based publish/subscribe networking and information-centric networking. In: ACM SIGCOMM Workshop on Information-centric Networking, pp. 56–61 (2011)
12.
go back to reference Amadeo, M., et al.: Securing the mobile edge through named data networking. In: 2018 IEEE WF-IoT, pp. 80–85 (2018) Amadeo, M., et al.: Securing the mobile edge through named data networking. In: 2018 IEEE WF-IoT, pp. 80–85 (2018)
Metadata
Title
Towards Named AI Networking: Unveiling the Potential of NDN for Edge AI
Authors
Claudia Campolo
Gianmarco Lia
Marica Amadeo
Giuseppe Ruggeri
Antonio Iera
Antonella Molinaro
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-61746-2_2

Premium Partner