Measurement of Web Server Performance (Rapporti tecnici, manuali, carte geologiche e tematiche e prodotti multimediali)

Type
Label
  • Measurement of Web Server Performance (Rapporti tecnici, manuali, carte geologiche e tematiche e prodotti multimediali) (literal)
Anno
  • 2004-01-01T00:00:00+01:00 (literal)
Alternative label
  • Pagnin, Davide; Buzzi, Marina; Conti, Marco;Gregori, Enrico (2004)
    Measurement of Web Server Performance
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Pagnin, Davide; Buzzi, Marina; Conti, Marco;Gregori, Enrico (literal)
Pagina inizio
  • 1 (literal)
Pagina fine
  • 13 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • Technical report TR-07/2004 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • Technical report TR-07/2004 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 12 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#descrizioneSinteticaDelProdotto
  • The Quality of Service (QoS) perceived by users is the dominant factor for the success of an Internet-based Web service. Thus, capacity planning has become essential for deploying Web servers. The aim of this study is to understand the key elements in Web server performance. We created a controlled test-bed environment, which allows one to analyze Web server performance in a simple and effective way. In this paper we present an analysis of two different Web server architectures and their performance, with particular focus on discovering bottlenecks. (literal)
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  • Altro (literal)
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  • IIT-CNR (literal)
Titolo
  • Measurement of Web Server Performance (literal)
Abstract
  • The Quality of Service (QoS) perceived by users is the dominant factor for the success of an Internet-based Web service. Thus, capacity planning has become essential for deploying Web servers. The aim of this study is to understand the key elements in Web server performance. We created a controlled test-bed environment, which allows one to analyze Web server performance in a simple and effective way. In this paper we present an analysis of two different Web server architectures and their performance, with particular focus on discovering bottlenecks. (literal)
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