Web sites are constantly threatened by sudden surges in traffic, also known as flash crowds. Current systems deal with flash crowds by utilizing replication or edge computing to distribute the load between multiple servers. However, when dealing with dynamic websites, the database part of the system quickly becomes the bottleneck. As a result, current systems are unsuitable when applied to dynamic websites. In this thesis, we introduce flashCBC, a content-blind query result caching middleware designed to unburden the database server during a flash crowd.
@MastersThesis{been2007,
author = {Rob Been},
title = {FlashCBC: Flash-Crowd Mitigation for Dynamic Web Sites},
school = {Vrije Universiteit},
address = {Amsterdam, The Netherlands},
year = {2007},
month = dec
}