This HTML5 document contains 44 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n5http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n17http://localhost/temp/predkladatel/
n6http://purl.org/net/nknouf/ns/bibtex#
n7http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n8http://linked.opendata.cz/ontology/domain/vavai/
n19https://schema.org/
shttp://schema.org/
n4http://linked.opendata.cz/ontology/domain/vavai/riv/
rdfshttp://www.w3.org/2000/01/rdf-schema#
skoshttp://www.w3.org/2004/02/skos/core#
n22http://bibframe.org/vocab/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n13http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n18http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n21http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n9http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n16http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n10http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n14http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F68407700%3A21230%2F14%3A00224916%21RIV15-MSM-21230___/
n11http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F68407700%3A21230%2F14%3A00224916%21RIV15-MSM-21230___
rdf:type
n8:Vysledek skos:Concept
rdfs:seeAlso
http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6968992
dcterms:description
With increasing requirements of mobile users on computational demanding applications, the need for offloading of computation to a cloud is a convenient way to provide high QoS and to lower energy consumption of a User Equipment (UE). However, common centralized cloud can prolong overall application processing time due to high delay of data delivery from the UE to the cloud and back. To reduce data delivery delay, a concept known as Small Cell Cloud (SCC) can be adopted. The SCC is based on equipping small cell base stations by additional computing capacity and enabling distributed computation for mobile cloud application. For proper function of the SCC, offloaded computing tasks must be efficiently and uniformly distributed among all computing cells. In this paper, we design the algorithm for selection of the computing cells that increases user’s satisfaction with experienced delay due to data transmission and computing. The algorithm selects the computing cell based on combination of users’ requirements and the SCC status. As the results show, the proposed algorithm is able to provide higher satisfaction comparing to competitive approaches for all types of backhauls while the balancing of load is not significantly affected. With increasing requirements of mobile users on computational demanding applications, the need for offloading of computation to a cloud is a convenient way to provide high QoS and to lower energy consumption of a User Equipment (UE). However, common centralized cloud can prolong overall application processing time due to high delay of data delivery from the UE to the cloud and back. To reduce data delivery delay, a concept known as Small Cell Cloud (SCC) can be adopted. The SCC is based on equipping small cell base stations by additional computing capacity and enabling distributed computation for mobile cloud application. For proper function of the SCC, offloaded computing tasks must be efficiently and uniformly distributed among all computing cells. In this paper, we design the algorithm for selection of the computing cells that increases user’s satisfaction with experienced delay due to data transmission and computing. The algorithm selects the computing cell based on combination of users’ requirements and the SCC status. As the results show, the proposed algorithm is able to provide higher satisfaction comparing to competitive approaches for all types of backhauls while the balancing of load is not significantly affected.
dcterms:title
QoS-ensuring Distribution of Computation Load among Cloud-enabled Small Cells QoS-ensuring Distribution of Computation Load among Cloud-enabled Small Cells
skos:prefLabel
QoS-ensuring Distribution of Computation Load among Cloud-enabled Small Cells QoS-ensuring Distribution of Computation Load among Cloud-enabled Small Cells
skos:notation
RIV/68407700:21230/14:00224916!RIV15-MSM-21230___
n4:aktivita
n21:R
n4:aktivity
R
n4:dodaniDat
n11:2015
n4:domaciTvurceVysledku
n7:8495939 n7:2734796
n4:druhVysledku
n10:D
n4:duvernostUdaju
n18:S
n4:entitaPredkladatele
n14:predkladatel
n4:idSjednocenehoVysledku
40989
n4:idVysledku
RIV/68407700:21230/14:00224916
n4:jazykVysledku
n9:eng
n4:klicovaSlova
mobile cloud computing; distributed computation; cloud-enable small cell; small cell cloud; QoS
n4:klicoveSlovo
n13:mobile%20cloud%20computing n13:cloud-enable%20small%20cell n13:QoS n13:distributed%20computation n13:small%20cell%20cloud
n4:kontrolniKodProRIV
[C7799A5B209D]
n4:mistoKonaniAkce
Luxembourg
n4:mistoVydani
Piscataway
n4:nazevZdroje
2014 IEEE 3rd International Conference on Cloud Networking (CloudNet)
n4:obor
n16:JA
n4:pocetDomacichTvurcuVysledku
2
n4:pocetTvurcuVysledku
2
n4:rokUplatneniVysledku
n11:2014
n4:tvurceVysledku
Vondra, Michal Bečvář, Zdeněk
n4:typAkce
n5:WRD
n4:zahajeniAkce
2014-10-08+02:00
s:numberOfPages
7
n22:doi
10.1109/CloudNet.2014.6968992
n6:hasPublisher
IEEE
n19:isbn
978-1-4799-2727-2
n17:organizacniJednotka
21230