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Service Allocation in a Mobile Fog Infrastructure under Availability and QoS Constraints
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0003-4416-7702
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Science and Technology, Communications and Transport Systems. Linköping University, Faculty of Science & Engineering.
2018 (English)In: 2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), IEEE , 2018Conference paper, Published paper (Refereed)
Abstract [en]

The next generation of mobile networks, namely SG, together with the Internet of Things (IoT) come with a large number of delay sensitive services. To meet their requirements, cloud services are migrating to the edge of the networks to reduce latency. The notion of fog computing, where the edge plays an active role in the execution of services, comes to meet the needs for the stringent requirements. Thus, it becomes of a high importance to address the problem of mapping services demands to infrastructure resources supply. This work addresses it taking into account the randomness of resource availability in a fog infrastructure. We introduce an integer optimization formulation to minimize the total cost under a guarantee of service execution despite the uncertainty of resources availability. Our results illustrate the effect of various system parameters, such as the diversity of the infrastructure server set, the availability of different infrastructure servers in the set, and the probability of service completion required by each service.

Place, publisher, year, edition, pages
IEEE , 2018.
Series
IEEE Global Communications Conference, ISSN 2334-0983
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-158393DOI: 10.1109/GLOCOM.2018.8647488ISI: 000465774302025ISBN: 978-1-5386-4727-1 (electronic)OAI: oai:DiVA.org:liu-158393DiVA, id: diva2:1332825
Conference
IEEE Global Communications Conference (GLOBECOM)
Note

Funding Agencies|European Unions Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant [642743]

Available from: 2019-06-28 Created: 2019-06-28 Last updated: 2019-06-28

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf