Using Network Application Behavior to Predict Performance - Couverture souple

Ma, Chunling

 
9783639059601: Using Network Application Behavior to Predict Performance
Couverture souple
ISBN 10 : 3639059603 ISBN 13 : 9783639059601
Editeur : VDM Verlag Dr. Müller, 2009

Synopsis

Today's continuously growing Internet requires users and network applications to have knowledge of network metrics.This knowledge is critical for decision making during the usage of network applications.This thesis studies application related network metrics.The major approach in this work is to examine the traffic between a simulated user.We use the historical data collected from previous usage of network applications to make predictions for future usage of those applications.Prediction mechanisms require us to make parameter choices so that certain weights can be placed on historical data versus current data.We study these different choices and use the values from our best experimental results.From these studies we conclude that our data prediction is quite accurate and remains stable over a range of parameter choices.The use of shared routing paths between users and network applications are explored in the performance prediction of applications.The network applications studied are also varied, including web, streaming, DNS.We see whether sharing information obtained from different applications can be used to make predictions of application performance.

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Présentation de l'éditeur

Today's continuously growing Internet requires users and network applications to have knowledge of network metrics.This knowledge is critical for decision making during the usage of network applications.This thesis studies application related network metrics.The major approach in this work is to examine the traffic between a simulated user.We use the historical data collected from previous usage of network applications to make predictions for future usage of those applications.Prediction mechanisms require us to make parameter choices so that certain weights can be placed on historical data versus current data.We study these different choices and use the values from our best experimental results.From these studies we conclude that our data prediction is quite accurate and remains stable over a range of parameter choices.The use of shared routing paths between users and network applications are explored in the performance prediction of applications.The network applications studied are also varied, including web, streaming, DNS.We see whether sharing information obtained from different applications can be used to make predictions of application performance.

Biographie de l'auteur

Chunling Ma obtained her master's degree in computer science at Worcester Polytechnic Institute in Worcester,Massachusetts of the United States.She earned her bachelor's degree in computer science at Shenyang Institute of Technology in Shenyang, China.She is currently working as a storage performance engineer at EMC, a world leading storage company

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2009
Langue
anglais
ISBN 10 
3639059603
ISBN 13 
9783639059601
Reliure
Broché
Nombre de pages
140
Coordonnées du fabricant
non disponible
Personne responsable
non disponible