Matchmaking of IaaS cloud computing offers leveraging linked data
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21240%2F13%3A00240887" target="_blank" >RIV/68407700:21240/13:00240887 - isvavai.cz</a>
Výsledek na webu
<a href="http://dl.acm.org/citation.cfm?id=2480440" target="_blank" >http://dl.acm.org/citation.cfm?id=2480440</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1145/2480362.2480440" target="_blank" >10.1145/2480362.2480440</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Matchmaking of IaaS cloud computing offers leveraging linked data
Popis výsledku v původním jazyce
Cloud Computing is an elastic execution environment becoming the dominating solution for scalable and on-demand computing, and a large market of cloud providers has recently emerged. IaaS is a realisation of the Cloud Computing at the level of processing, storage and networking resources. Currently, users lack a consolidated view of the IaaS market and it is time-consuming and cumbersome to identify the most suitable IaaS offers. IaaS services are highly configurable and their properties are often request-dependent and change dynamically. In this paper we introduce a service matchmaking approach for IaaS. We present models to define expressive search requests and IaaS descriptions which are grounded in lightweight semantic formalisms of RDF and SPARQL,and use Linked Data. Our approach supports dynamic generation of IaaS offers, and their filtering and ranking. We provide a proof-of-concept matchmaker operating on expressive search requests and descriptions of nineteen IaaS services in
Název v anglickém jazyce
Matchmaking of IaaS cloud computing offers leveraging linked data
Popis výsledku anglicky
Cloud Computing is an elastic execution environment becoming the dominating solution for scalable and on-demand computing, and a large market of cloud providers has recently emerged. IaaS is a realisation of the Cloud Computing at the level of processing, storage and networking resources. Currently, users lack a consolidated view of the IaaS market and it is time-consuming and cumbersome to identify the most suitable IaaS offers. IaaS services are highly configurable and their properties are often request-dependent and change dynamically. In this paper we introduce a service matchmaking approach for IaaS. We present models to define expressive search requests and IaaS descriptions which are grounded in lightweight semantic formalisms of RDF and SPARQL,and use Linked Data. Our approach supports dynamic generation of IaaS offers, and their filtering and ranking. We provide a proof-of-concept matchmaker operating on expressive search requests and descriptions of nineteen IaaS services in
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
IN - Informatika
OECD FORD obor
—
Návaznosti výsledku
Projekt
—
Návaznosti
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Ostatní
Rok uplatnění
2013
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
Proceedings of the 28th Annual ACM Symposium on Applied Computing, SAC '13
ISBN
978-1-4503-1656-9
ISSN
—
e-ISSN
—
Počet stran výsledku
6
Strana od-do
383-388
Název nakladatele
ACM
Místo vydání
New York
Místo konání akce
Coimbra
Datum konání akce
18. 3. 2013
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
—