{"42390":{"#nid":"42390","#data":{"type":"event","title":"Modeling Data Network Sessions by the Conditional Extreme Value Model","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETITLE: \u003C\/strong\u003EModeling Data Network Sessions by the Conditional Extreme Value Model\n\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003ESPEAKER:\u003C\/strong\u003E Sidney Resnick\n\u003C\/p\u003E\n\u003Cp\u003E\u003Cstrong\u003EABSTRACT:\u003C\/strong\u003E\n\u003C\/p\u003E\n\u003Cp\u003EUsing various rules, the flow of packets past a sensor can be amalgamated into higher level entities called sessions. Statistical analysis of these sessions is complex: session duration (D) and size (S) are jointly heavy tailed but average transmission rate (R=S\/D)  is not heavy tailed and\u003Cbr \/\u003E\narrival times of sessions is not Poisson.  By segmenting sessions using a peak rate covariate, we find conditional on segment that within segment session initiations can be modeled as Poisson. For modeling the distribution of (D,S,R), the conditional extreme value (CEV) model is\u003Cbr \/\u003E\nuseful. This model is an alternative to multivariate extreme value modeling and is applicable to modeling the distribution of a random vector if some component of the vector is not in a unidimensional domain of attraction. Combining these elements, an overall model of packet flows\u003Cbr \/\u003E\nemerges which is suitable for simulation.\u003Cbr \/\u003E\n(Joint work at various times with Jan Heffernan, Bikramjit Das, Luis\u003Cbr \/\u003E\nLopez-Oliveros.)\n\u003C\/p\u003E\n\u003Cp\u003EBio:\u003Cbr \/\u003E\nDr. Sid Resnick received Masters and PhD. degrees from Purdue University\u003Cbr \/\u003E\nin 1968 and 1970, respectively and has since worked at the Technion\u003Cbr \/\u003E\n(Haifa), Stanford University, Colorado State University and for the last\u003Cbr \/\u003E\n20 years at Cornell University. He has authored 4 books and coauthored 151\u003Cbr \/\u003E\njournal articles appearing in major international journals. Sid is also a\u003Cbr \/\u003E\nfellow of the Institute of Mathematical Statistics. His research and\u003Cbr \/\u003E\nscholarship areas cover heavy tails, statistical analysis of\u003Cbr \/\u003E\nextremes, service systems and networks.\n\u003C\/p\u003E","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"Modeling Data Network Sessions by the Conditional Extreme Value Model","format":"limited_html"}],"field_summary_sentence":[{"value":"Modeling Data Network Sessions by the Conditional Extreme Value Model"}],"uid":"27187","created_gmt":"2009-10-12 20:16:30","changed_gmt":"2016-10-08 01:46:52","author":"Anita Race","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2009-08-25T12:00:00-04:00","event_time_end":"2009-08-25T13:00:00-04:00","event_time_end_last":"2009-08-25T13:00:00-04:00","gmt_time_start":"2009-08-25 16:00:00","gmt_time_end":"2009-08-25 17:00:00","gmt_time_end_last":"2009-08-25 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"1242","name":"School of Industrial and Systems Engineering (ISYE)"}],"categories":[],"keywords":[{"id":"5065","name":"extreme"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cstrong\u003EAnita  Race\u003C\/strong\u003E\u003Cbr \/\u003EH. Milton Stewart School of Industrial and Systems Engineering\u003Cbr \/\u003E\u003Ca href=\u0022http:\/\/www.gatech.edu\/contact\/index.html?id=ar9\u0022\u003EContact Anita  Race\u003C\/a\u003E","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}