A study on the effect of application and resource characteristics on the QOS in service provisioning environments (Articolo in rivista)

Type

• Prodotto della ricerca (Classe)
• Articolo in rivista (Classe)

Label

• A study on the effect of application and resource characteristics on the QOS in service provisioning environments (Articolo in rivista) (literal)

Anno

• 2010-01-01T00:00:00+01:00 (literal)

Alternative label

• Varvarigou T.; Tserpes K.; Kyriazis D.; Silvestri F.; Psimogiannos N. (2010)
  A study on the effect of application and resource characteristics on the QOS in service provisioning environments
  
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Varvarigou T.; Tserpes K.; Kyriazis D.; Silvestri F.; Psimogiannos N. (literal)

Pagina inizio

• 55 (literal)

Pagina fine

• 75 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 1 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note

• In: International Journal of Distributed Systems and Technologies (IJDST), vol. 1 (1) pp. 55 - 75. IGI Publishing, 2010. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• National Technical University of Athens, Greece, CNR-ISTI, Pisa, University of the Aegean, Greece (literal)

Titolo

• A study on the effect of application and resource characteristics on the QOS in service provisioning environments (literal)

Abstract

• This article deals with the problem of quality provisioning in business service-oriented environments, examining the resource selection process as an initial matching of the provided to the demanded QoS. It investigates how the application and resource characteristics affect the provided level of QoS, a relationship that intuitively exists but has not yet being mapped. To do so, it focuses on identifying the application and resource parameters that affect the customer-defined QoS parameters. The article realistically centres upon modeling a data mining application and simple PC nodes in order to study how they affect response times. It moves on, by proving the existence of these specific relations and maps them using simple artificial neural networks so as to be able to wrap them in a single mechanism for resource selection based on customer QoS requirements and real time provider QoS capabilities. (literal)

Prodotto di

• Sistemi e algoritmi per Big Data (ICT.P09.006.001) (Modulo)
• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)

Autore CNR

• FABRIZIO SILVESTRI (Unità di personale interno)

Insieme di parole chiave

• Keywords of "A study on the effect of application and resource characteristics on the QOS in service provisioning environments" (Insieme di parole chiave)

Incoming links:

Prodotto

• Istituto di scienza e tecnologie dell'informazione \"Alessandro Faedo\" (ISTI) (Istituto)
• Sistemi e algoritmi per Big Data (ICT.P09.006.001) (Modulo)

Autore CNR di

• FABRIZIO SILVESTRI (Unità di personale interno)

Insieme di parole chiave di

• Keywords of "A study on the effect of application and resource characteristics on the QOS in service provisioning environments" (Insieme di parole chiave)