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11th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems (MASCOTS'03)
Managing Flash Crowds on the Internet
Orlando, Florida
October 12-October 15
ISBN: 0-7695-2039-1
ASCII Text
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Ismail Ari, Bo Hong, Ethan L. Miller, Scott A. Brandt, Darrell D. E. Long, "Managing Flash Crowds on the Internet," Modeling, Analysis, and Simulation of Computer Systems, International Symposium on, pp. 246, 11th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems (MASCOTS'03), 2003.
 
 
BibTex
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@article{ 10.1109/MASCOT.2003.1240667,
author = {Ismail Ari and Bo Hong and Ethan L. Miller and Scott A. Brandt and Darrell D. E. Long},
title = {Managing Flash Crowds on the Internet},
journal ={Modeling, Analysis, and Simulation of Computer Systems, International Symposium on},
volume = {0},
year = {2003},
issn = {1526-7539},
pages = {246},
doi = {http://doi.ieeecomputersociety.org/10.1109/MASCOT.2003.1240667},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Modeling, Analysis, and Simulation of Computer Systems, International Symposium on
TI - Managing Flash Crowds on the Internet
SN - 1526-7539
SP
EP
A1 - Ismail Ari,
A1 - Bo Hong,
A1 - Ethan L. Miller,
A1 - Scott A. Brandt,
A1 - Darrell D. E. Long,
PY - 2003
KW - null
VL - 0
JA - Modeling, Analysis, and Simulation of Computer Systems, International Symposium on
ER -
 
Ismail Ari, University of California, Santa Cruz
Bo Hong, University of California, Santa Cruz
Ethan L. Miller, University of California, Santa Cruz
Scott A. Brandt, University of California, Santa Cruz
Darrell D. E. Long, University of California, Santa Cruz
A flash crowd is a surge in traffic to a particular Web site that causes the site to be virtually unreachable. We present a model of flash crowd events and evaluate the performance of various multi-level caching techniques suitable for managing these events. By using well-dispersed caches and with judicious choice of replacement algorithms we show reductions in client response times by as much as a factor of 25. We also show that these caches eliminate the server and network hot spots by distributing the load over the entire network.
Citation:
Ismail Ari, Bo Hong, Ethan L. Miller, Scott A. Brandt, Darrell D. E. Long, "Managing Flash Crowds on the Internet," mascots, pp.246, 11th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems (MASCOTS'03), 2003
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