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Flexible allocation of heterogeneous resources to services on an IoT device
Linköpings universitet, Institutionen för teknik och naturvetenskap, Kommunikations- och transportsystem. Linköpings universitet, Tekniska fakulteten.
Linköpings universitet, Institutionen för teknik och naturvetenskap, Kommunikations- och transportsystem. Linköpings universitet, Tekniska fakulteten.
Linköpings universitet, Institutionen för teknik och naturvetenskap, Kommunikations- och transportsystem. Linköpings universitet, Tekniska fakulteten.
Linköpings universitet, Institutionen för teknik och naturvetenskap, Kommunikations- och transportsystem. Linköpings universitet, Tekniska fakulteten.
2015 (engelsk)Inngår i: 2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Institute of Electrical and Electronics Engineers (IEEE), 2015, s. 99-100Konferansepaper, Publicerat paper (Fagfellevurdert)
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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.

sted, utgiver, år, opplag, sider
Institute of Electrical and Electronics Engineers (IEEE), 2015. s. 99-100
Serie
IEEE Conference on Computer Communications Workshops, ISSN 2159-4228
Emneord [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
HSV kategori
Identifikatorer
URN: urn:nbn:se:liu:diva-129442DOI: 10.1109/INFCOMW.2015.7179362ISI: 000380561200055ISBN: 978-1-4673-7131-5 (tryckt)OAI: oai:DiVA.org:liu-129442DiVA, id: diva2:939483
Konferanse
2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS). April 26 2015-May 1 2015, Hong Kong
Tilgjengelig fra: 2016-06-19 Laget: 2016-06-19 Sist oppdatert: 2016-09-19

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Totalt: 131 treff
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