About: QoS-ensuring Distribution of Computation Load among Cloud-enabled Small Cells

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: QoS-ensuring Distribution of Computation Load among Cloud-enabled Small Cells Goto Sponge NotDistinct Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6968992
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. (en)
Title	QoS-ensuring Distribution of Computation Load among Cloud-enabled Small Cells QoS-ensuring Distribution of Computation Load among Cloud-enabled Small Cells (en)
skos:prefLabel	QoS-ensuring Distribution of Computation Load among Cloud-enabled Small Cells QoS-ensuring Distribution of Computation Load among Cloud-enabled Small Cells (en)
skos:notation	RIV/68407700:21230/14:00224916!RIV15-MSM-21230___
http://linked.open...avai/riv/aktivita	R
http://linked.open...avai/riv/aktivity	R
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Bečvář, Zdeněk Vondra, Michal
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	České vysoké učení technické v Praze / Fakulta elektrotechnická
http://linked.open...dnocenehoVysledku	40989
http://linked.open...ai/riv/idVysledku	RIV/68407700:21230/14:00224916
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	mobile cloud computing; distributed computation; cloud-enable small cell; small cell cloud; QoS (en)
http://linked.open.../riv/klicoveSlovo	QoS cloud-enable small cell distributed computation small cell cloud mobile cloud computing
http://linked.open...ontrolniKodProRIV	[C7799A5B209D]
http://linked.open...v/mistoKonaniAkce	Luxembourg
http://linked.open...i/riv/mistoVydani	Piscataway
http://linked.open...i/riv/nazevZdroje	2014 IEEE 3rd International Conference on Cloud Networking (CloudNet)
http://linked.open...in/vavai/riv/obor	JA
http://linked.open...ichTvurcuVysledku	2 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Bečvář, Zdeněk Vondra, Michal
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-10-08 (xsd:date)
number of pages	7 (xsd:int)
http://bibframe.org/vocab/doi	10.1109/CloudNet.2014.6968992
http://purl.org/ne...btex#hasPublisher	IEEE
https://schema.org/isbn	978-1-4799-2727-2
http://localhost/t...ganizacniJednotka	21230

Faceted Search & Find service v1.16.118 as of Jun 21 2024

Alternative Linked Data Documents: ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 32 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software