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Flash Crowd Mitigation System

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Flash Crowd Mitigation System

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dc.contributor.author Kim, Dongchul en_US
dc.date.accessioned 2007-09-17T17:07:27Z
dc.date.available 2007-09-17T17:07:27Z
dc.date.issued 2007-09-17T17:07:27Z
dc.date.submitted May 2007 en_US
dc.identifier.other DISS-1754 en_US
dc.identifier.uri http://hdl.handle.net/10106/563
dc.description.abstract Flash crowd means that a web server suffers a sudden surge of traffic since a large number of Internet users access the web server simultaneously. Once a flash crowd occurs in a web server, the response rate for the HTTP requests decreases rapidly, or the web server may even crash. To protect the web server from such flash crowds, in this paper, we propose the Flash Crowd Mitigation System (FCMS) which is based on the cooperation of the web servers and the redirection of the HTTP request. In FCMS, when a flash crowd is predicted by the traffic monitoring module in the router which is connected to the web server, other web servers replicate the hot server's contents, and then the router redirects the HTTP request to other web servers in order to alleviate the effect of the flash crowd. The simulation with real-world flash crowd traces shows that the monitoring module can predict the flash crowd and release the system from the flash crowd mode effectively. Also, our experiment in our testbed demonstrates that an implemented FCMS and our mechanism can work correctly and mitigate the effect of flash crowds in a web server. en_US
dc.description.sponsorship Das, Sajal en_US
dc.language.iso EN en_US
dc.publisher Computer Science & Engineering en_US
dc.title Flash Crowd Mitigation System en_US
dc.type M.S. en_US
dc.contributor.committeeChair Das, Sajal en_US
dc.degree.department Computer Science & Engineering en_US
dc.degree.discipline Computer Science & Engineering en_US
dc.degree.grantor University of Texas at Arlington en_US
dc.degree.level masters en_US
dc.degree.name M.S. en_US
dc.identifier.externalLink https://www.uta.edu/ra/real/editprofile.php?onlyview=1&pid=177
dc.identifier.externalLinkDescription Link to Research Profiles

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