Link Gradients: Predicting the Impact of Network Latency on Multitier Applications

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...

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Main Authors: Chen, S., Joshi, K. R., Hiltunen, M. A., Sanders, W. H., Schlichting, R. D.
Format: Conference Proceeding
Language:English
Subjects:
Application software
Communications Society
Delay systems
Extraterrestrial measurements
Laboratories
Network servers
Spectral analysis
Transaction databases
USA Councils
Web server
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creator Chen, S.
Joshi, K. R.
Hiltunen, M. A.
Sanders, W. H.
Schlichting, R. D.
description 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.
doi_str_mv 10.1109/INFCOM.2009.5062151
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subjects Application software
Communications Society
Delay systems
Extraterrestrial measurements
Laboratories
Network servers
Spectral analysis
Transaction databases
USA Councils
Web server
title Link Gradients: Predicting the Impact of Network Latency on Multitier Applications
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