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Flexible allocation of heterogeneous resources to services on an IoT device
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.
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.
2015 (English)In: 2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Institute of Electrical and Electronics Engineers (IEEE), 2015, 99-100 p.Conference paper, Published paper (Refereed)
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Text
Abstract [en]

In the Internet of Things (IoT), devices and gateways may be equipped with multiple, heterogeneous network interfaces which should be utilized by a large number of services. In this work, we model the problem of assigning services' resource demands to a device's heterogeneous interfaces and give a Mixed Integer Linear Program (MILP) formulation for it. For meaningful instance sizes the MILP model gives optimal solutions to the presented computationally-hard problem. We provide insightful results discussing the properties of the results on the properties of the derived solutions with respect to the splitting of services to different interfaces.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2015. 99-100 p.
Series
IEEE Conference on Computer Communications Workshops, ISSN 2159-4228
Keyword [en]
Internet;Internet of Things;integer programming;linear programming;network interfaces;resource allocation;Internet of Things;IoT device;MILP formulation;flexible allocation;heterogeneous interface;heterogeneous network interface;heterogeneous resource;mixed integer linear program formulation;service resource demand;Optimization
National Category
Communication Systems
Identifiers
URN: urn:nbn:se:liu:diva-129442DOI: 10.1109/INFCOMW.2015.7179362ISI: 000380561200055ISBN: 978-1-4673-7131-5 (print)OAI: oai:DiVA.org:liu-129442DiVA: diva2:939483
Conference
2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). April 26 2015-May 1 2015, Hong Kong
Available from: 2016-06-19 Created: 2016-06-19 Last updated: 2016-09-19

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Angelakis, VangelisAvgouleas, IoannisPappas, NikolaosYuan, Di
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CiteExportLink to record
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  • apa
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