Fog computing based content-aware taxonomy for caching optimization in information-centric networks

Meng Wang, Jun Wu, Gaolei Li, Jianhua Li, Qiang Li

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

9 Citations (Scopus)

Abstract

Traditional internet architecture is challenged and it cannot satisfy the growing demand of todays networks. Information-centric Networks (ICN) is regarding as a promising replacement to meet this trend. The main characteristic in ICN is Content Store (CS), which is used to enable users to retrieve data from nearby nodes instead of remote server. However, with the limited storage capacity of routers, we cannot make the most use of the concept of CS. In this paper, we proposed a novel framework using fog computing as a middle level to communicate both with underlying network and ICN global network, where data is preprocessed and classed in fog node before transferring to ICN. In this way, we can reduce the total number of caching content in network by labeling the dynamic data and user-shareable data. We proved that with limited storage capacity of content store, we cannot profit from in-network caching. This result suggests the necessity of proposed framework.

Original languageEnglish
Title of host publication2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages474-475
Number of pages2
ISBN (Electronic)9781538627846
DOIs
Publication statusPublished - 2017 Nov 20
Externally publishedYes
Event2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017 - Atlanta, United States
Duration: 2017 May 12017 May 4

Publication series

Name2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017

Conference

Conference2017 IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2017
Country/TerritoryUnited States
CityAtlanta
Period17/5/117/5/4

Keywords

  • Cache policy
  • Content store
  • Fog computing
  • Information-centric networks
  • Taxonomy

ASJC Scopus subject areas

  • Hardware and Architecture
  • Control and Optimization
  • Artificial Intelligence
  • Computer Networks and Communications

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