@TechReport{Chen02a,
	author = 	"Xuan Chen and John Heidemann",
	title = 	"Flash crowd mitigation via an adaptive admission control based on application-level measurement",
	institution = 	"USC/Information Sciences Institute",
	year = 		2002,
	sortdate = 		"2002-05-01",
	project = "ant, saman, conser",
	jsubject =  "chronological",
	number =	"ISI-TR-557",
	month =		may,
	jlocation =	"johnh: folder: xxx",
	jlocation =	"johnh: pafile xxx",
	keywords =	"NEWS, admission control, congestion control",
	otherurl =	"https://ant.isi.edu/%7exuanc/paper/news.pdf",
	url =		"https://ant.isi.edu/%7ejohnh/PAPERS/Chen02a.html",
	pdfurl =	"https://ant.isi.edu/%7ejohnh/PAPERS/Chen02a.pdf",
	myorganization =	"USC/Information Sciences Institute",
	abstract = "
We propose the network early warning system (NEWS) to protect servers
and networks from flash crowds, which usually happen when too many
requests are sent to a web site simultaneously. NEWS is an self-tuning
admission control mechanism, which imposes application-level
congestion control (AppCC) between requests and responses. NEWS
detects flash crowds from changes in web response rate.  Based on the
application-level observations, NEWS adjusts the admitted request rate
automatically and adaptively.  Simulation results show that NEWS
detects flash crowds within 10 minutes (about 2-3 detection
intervals). By delaying 56\% of requests, NEWS is able to reduce the
packet drop rate for responses from 17\% to 1\%. The aggregated
response rate for admitted requests is twice as fast with NEWS as
compared to without. This performance is similar to the best possible
rate limiter.
",
}

{"_id":"zXoN4gS7mW3efrqDL","bibbaseid":"chen-heidemann-flashcrowdmitigationviaanadaptiveadmissioncontrolbasedonapplicationlevelmeasurement-2002","author_short":["Chen, X.","Heidemann, J."],"bibdata":{"bibtype":"techreport","type":"techreport","author":[{"firstnames":["Xuan"],"propositions":[],"lastnames":["Chen"],"suffixes":[]},{"firstnames":["John"],"propositions":[],"lastnames":["Heidemann"],"suffixes":[]}],"title":"Flash crowd mitigation via an adaptive admission control based on application-level measurement","institution":"USC/Information Sciences Institute","year":"2002","sortdate":"2002-05-01","project":"ant, saman, conser","jsubject":"chronological","number":"ISI-TR-557","month":"May","jlocation":"johnh: pafile xxx","keywords":"NEWS, admission control, congestion control","otherurl":"https://ant.isi.edu/%7exuanc/paper/news.pdf","url":"https://ant.isi.edu/%7ejohnh/PAPERS/Chen02a.html","pdfurl":"https://ant.isi.edu/%7ejohnh/PAPERS/Chen02a.pdf","myorganization":"USC/Information Sciences Institute","abstract":"We propose the network early warning system (NEWS) to protect servers and networks from flash crowds, which usually happen when too many requests are sent to a web site simultaneously. NEWS is an self-tuning admission control mechanism, which imposes application-level congestion control (AppCC) between requests and responses. NEWS detects flash crowds from changes in web response rate. Based on the application-level observations, NEWS adjusts the admitted request rate automatically and adaptively. Simulation results show that NEWS detects flash crowds within 10 minutes (about 2-3 detection intervals). By delaying 56% of requests, NEWS is able to reduce the packet drop rate for responses from 17% to 1%. The aggregated response rate for admitted requests is twice as fast with NEWS as compared to without. This performance is similar to the best possible rate limiter. ","bibtex":"@TechReport{Chen02a,\n\tauthor = \t\"Xuan Chen and John Heidemann\",\n\ttitle = \t\"Flash crowd mitigation via an adaptive admission control based on application-level measurement\",\n\tinstitution = \t\"USC/Information Sciences Institute\",\n\tyear = \t\t2002,\n\tsortdate = \t\t\"2002-05-01\",\n\tproject = \"ant, saman, conser\",\n\tjsubject = \"chronological\",\n\tnumber =\t\"ISI-TR-557\",\n\tmonth =\t\tmay,\n\tjlocation =\t\"johnh: folder: xxx\",\n\tjlocation =\t\"johnh: pafile xxx\",\n\tkeywords =\t\"NEWS, admission control, congestion control\",\n\totherurl =\t\"https://ant.isi.edu/%7exuanc/paper/news.pdf\",\n\turl =\t\t\"https://ant.isi.edu/%7ejohnh/PAPERS/Chen02a.html\",\n\tpdfurl =\t\"https://ant.isi.edu/%7ejohnh/PAPERS/Chen02a.pdf\",\n\tmyorganization =\t\"USC/Information Sciences Institute\",\n\tabstract = \"\nWe propose the network early warning system (NEWS) to protect servers\nand networks from flash crowds, which usually happen when too many\nrequests are sent to a web site simultaneously. NEWS is an self-tuning\nadmission control mechanism, which imposes application-level\ncongestion control (AppCC) between requests and responses. NEWS\ndetects flash crowds from changes in web response rate. Based on the\napplication-level observations, NEWS adjusts the admitted request rate\nautomatically and adaptively. Simulation results show that NEWS\ndetects flash crowds within 10 minutes (about 2-3 detection\nintervals). By delaying 56\\% of requests, NEWS is able to reduce the\npacket drop rate for responses from 17\\% to 1\\%. The aggregated\nresponse rate for admitted requests is twice as fast with NEWS as\ncompared to without. This performance is similar to the best possible\nrate limiter.\n\",\n}\n\n","author_short":["Chen, X.","Heidemann, J."],"bibbaseid":"chen-heidemann-flashcrowdmitigationviaanadaptiveadmissioncontrolbasedonapplicationlevelmeasurement-2002","role":"author","urls":{"Paper":"https://ant.isi.edu/%7ejohnh/PAPERS/Chen02a.html"},"keyword":["NEWS","admission control","congestion control"],"metadata":{"authorlinks":{}}},"bibtype":"techreport","biburl":"https://bibbase.org/f/dHevizJoWEhWowz8q/johnh-2023-2.bib","dataSources":["YLyu3mj3xsBeoqiHK","fLZcDgNSoSuatv6aX","fxEParwu2ZfurScPY","7nuQvtHTqKrLmgu99"],"keywords":["news","admission control","congestion control"],"search_terms":["flash","crowd","mitigation","via","adaptive","admission","control","based","application","level","measurement","chen","heidemann"],"title":"Flash crowd mitigation via an adaptive admission control based on application-level measurement","year":2002}