Cognitive cloud-oriented wireless networks for the future internet

Andreas Georgakopoulos, Dimitrios Karvounas, Vera Stavroulaki, Milenko Tosic, Dragan Boscovic, Jens Gebert, Wolfgang Koenig, Panagiotis Demestichas

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

3 Scopus citations

Abstract

It is expected that the wireless world will migrate towards an era that will comprise more local/ temporary structures for the provision of services. A networking paradigm towards this direction is the opportunistic networking. Operator-governed ONs are dynamically created, temporary, coordinated extensions of the infrastructure. Operator governance is being realized through the use of Cognitive Management Systems which acquire the context, policies and profiles of the environment and make decisions on the creation of opportunistic networks. The paper presents an approach for exploiting such ONs in order to extend the capacity in wireless access and backhaul segments for efficient application provisioning, as well as an evaluation of indicative test cases as a proof of concept of the aforementioned approach. All these scenarios will enable the cognitive cloud-oriented vision of wireless networks for efficient application provisioning in the Future Internet era.

Original languageEnglish (US)
Title of host publication2012 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2012
Pages431-435
Number of pages5
DOIs
StatePublished - Jul 16 2012
Externally publishedYes
Event2012 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2012 - Paris, France
Duration: Apr 1 2012Apr 1 2012

Publication series

Name2012 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2012

Other

Other2012 IEEE Wireless Communications and Networking Conference Workshops, WCNCW 2012
CountryFrance
CityParis
Period4/1/124/1/12

Keywords

  • Capacity Extension
  • Cognitive Management Systems
  • Future Internet
  • Opportunistic Networks

ASJC Scopus subject areas

  • Computer Science Applications

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