Matchmaking of IaaS cloud computing offers leveraging linked data
The result's identifiers
Result code in 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>
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Matchmaking of IaaS cloud computing offers leveraging linked data
Original language description
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
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Others
Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 28th Annual ACM Symposium on Applied Computing, SAC '13
ISBN
978-1-4503-1656-9
ISSN
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e-ISSN
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Number of pages
6
Pages from-to
383-388
Publisher name
ACM
Place of publication
New York
Event location
Coimbra
Event date
Mar 18, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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