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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 | x | ||
| Ismail Ari, Bo Hong, Ethan L. Miller, Scott A. Brandt, Darrell D. E. Long, "Managing Flash Crowds on the Internet," 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems, pp. 246, 11th IEEE International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems (MASCOTS'03), 2003. | |||
| BibTex | x | ||
| @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 ={2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems}, 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 - 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems 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 - 2012 IEEE 20th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems ER - | |||
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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