DocumentCode
1910896
Title
Link Gradients: Predicting the Impact of Network Latency on Multitier Applications
Author
Chen, Shuyi ; Joshi, Kaustubh R. ; Hiltunen, Matti A. ; Sanders, William H. ; Schlichting, Richard D.
Author_Institution
Coordinated Sci. Lab., Univ. of Illinois at Urbana-Champaign, Urbana, IL
fYear
2009
fDate
19-25 April 2009
Firstpage
2258
Lastpage
2266
Abstract
Geographically dispersed deployments of large and complex multitier enterprise applications introduce many challenges, including those involved in predicting the impact of network latency on end-to-end transaction response times. Here, a measurement-based approach to quantifying this impact using a new metric called the link gradient is presented. A non-intrusive technique for measuring the link gradient in running systems using delay injection and spectral analysis is presented, along with experimental results on PlanetLab that demonstrate that the link gradient can be used to predict end-to-end responsiveness, even in new and untested application configurations.
Keywords
Web services; software metrics; PlanetLab; complex multitier enterprise; end-to-end transaction response; geographically dispersed deployments; link gradients; measurement-based approach; network latency; nonintrusive technique; spectral analysis; Application software; Communications Society; Delay systems; Extraterrestrial measurements; Laboratories; Network servers; Spectral analysis; Transaction databases; USA Councils; Web server;
fLanguage
English
Publisher
ieee
Conference_Titel
INFOCOM 2009, IEEE
Conference_Location
Rio de Janeiro
ISSN
0743-166X
Print_ISBN
978-1-4244-3512-8
Electronic_ISBN
0743-166X
Type
conf
DOI
10.1109/INFCOM.2009.5062151
Filename
5062151
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