Toward standardization activities for future networks in ITU-T: A viewpoint from Y. Suppl.35: ITU-T Y.3033 data-aware networking-scenarios and use cases

Keping Yu, Zhenyu Zhou, Mohammad Arifuzzaman, Anup Kumar Paul, Davaasambuu Battulga, Quang N. Nguyen, Takuro Sato

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Information-centric networking (ICN) approach, based on named contents instead of Internet Protocol (IP) addresses, has been emerging as a promising technology for the future Internet. It brings in innovative naming mechanisms, novel routing strategies, security schemes, and augmented with caching at intermediate nodes to improve network efficiency and enhance security. Therefore, it has attracted much attention to research communities, and its related standardization activities have been progressed. In this paper, we summarize the standardization activities on data aware networking (DAN) which corresponds to ICN in ITU-T. Thereinto, our contributions in recommendation Y. Suppl. 35 (ITU-T Y.3033-Data aware networking: Scenarios and use cases) has been highlighted.

Original languageEnglish
Title of host publication2017 3rd IEEE International Conference on Computer and Communications, ICCC 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages412-417
Number of pages6
ISBN (Electronic)9781509063505
DOIs
Publication statusPublished - 2018 Mar 22
Event3rd IEEE International Conference on Computer and Communications, ICCC 2017 - Chengdu, China
Duration: 2017 Dec 132017 Dec 16

Publication series

Name2017 3rd IEEE International Conference on Computer and Communications, ICCC 2017
Volume2018-January

Other

Other3rd IEEE International Conference on Computer and Communications, ICCC 2017
Country/TerritoryChina
CityChengdu
Period17/12/1317/12/16

Keywords

  • Data-aware networking
  • ITU-T
  • Information-centric networking
  • Standardization

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing

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