{"id":"https://openalex.org/W2060230910","doi":"https://doi.org/10.1109/ifipnetworking.2014.6857099","title":"Linking network usage patterns to traffic Gaussianity fit","display_name":"Linking network usage patterns to traffic Gaussianity fit","publication_year":2014,"publication_date":"2014-06-01","ids":{"openalex":"https://openalex.org/W2060230910","doi":"https://doi.org/10.1109/ifipnetworking.2014.6857099","mag":"2060230910"},"language":"en","primary_location":{"id":"doi:10.1109/ifipnetworking.2014.6857099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifipnetworking.2014.6857099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IFIP Networking Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111930228","display_name":"Ricardo de O. Schmidt","orcid":null},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Ricardo de O. Schmidt","raw_affiliation_strings":["Universiteit Twente, Enschede, Overijssel, NL","University of Twente Enschede Netherlands"],"affiliations":[{"raw_affiliation_string":"Universiteit Twente, Enschede, Overijssel, NL","institution_ids":["https://openalex.org/I94624287"]},{"raw_affiliation_string":"University of Twente Enschede Netherlands","institution_ids":["https://openalex.org/I94624287"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072411493","display_name":"Ramin Sadre","orcid":"https://orcid.org/0000-0001-7362-359X"},"institutions":[{"id":"https://openalex.org/I891191580","display_name":"Aalborg University","ror":"https://ror.org/04m5j1k67","country_code":"DK","type":"education","lineage":["https://openalex.org/I891191580"]}],"countries":["DK"],"is_corresponding":false,"raw_author_name":"Ramin Sadre","raw_affiliation_strings":["Aalborg Universitet, Aalborg, DK","Aalborg University, Aalborg, Denmark"],"affiliations":[{"raw_affiliation_string":"Aalborg Universitet, Aalborg, DK","institution_ids":["https://openalex.org/I891191580"]},{"raw_affiliation_string":"Aalborg University, Aalborg, Denmark","institution_ids":["https://openalex.org/I891191580"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010670024","display_name":"N. N. MEL'NIKOV","orcid":"https://orcid.org/0000-0002-8569-8756"},"institutions":[{"id":"https://openalex.org/I193619901","display_name":"Constructor University","ror":"https://ror.org/02yrs2n53","country_code":"DE","type":"education","lineage":["https://openalex.org/I193619901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Nikolay Melnikov","raw_affiliation_strings":["Jacobs University Bremen gGmbH, Bremen, Bremen, DE","Jacobs-University Bremen, Bremen, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Jacobs University Bremen gGmbH, Bremen, Bremen, DE","institution_ids":["https://openalex.org/I193619901"]},{"raw_affiliation_string":"Jacobs-University Bremen, Bremen, Germany#TAB#","institution_ids":["https://openalex.org/I193619901"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036389305","display_name":"J\u00fcrgen Sch\u00f6nw\u00e4lder","orcid":"https://orcid.org/0000-0001-8346-1555"},"institutions":[{"id":"https://openalex.org/I193619901","display_name":"Constructor University","ror":"https://ror.org/02yrs2n53","country_code":"DE","type":"education","lineage":["https://openalex.org/I193619901"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Jurgen Schonwalder","raw_affiliation_strings":["Jacobs University Bremen gGmbH, Bremen, Bremen, DE","Jacobs-University Bremen, Bremen, Germany#TAB#"],"affiliations":[{"raw_affiliation_string":"Jacobs University Bremen gGmbH, Bremen, Bremen, DE","institution_ids":["https://openalex.org/I193619901"]},{"raw_affiliation_string":"Jacobs-University Bremen, Bremen, Germany#TAB#","institution_ids":["https://openalex.org/I193619901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067140003","display_name":"Aiko Pras","orcid":"https://orcid.org/0000-0002-5091-8608"},"institutions":[{"id":"https://openalex.org/I94624287","display_name":"University of Twente","ror":"https://ror.org/006hf6230","country_code":"NL","type":"education","lineage":["https://openalex.org/I94624287"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Aiko Pras","raw_affiliation_strings":["Universiteit Twente, Enschede, Overijssel, NL","University of Twente Enschede Netherlands"],"affiliations":[{"raw_affiliation_string":"Universiteit Twente, Enschede, Overijssel, NL","institution_ids":["https://openalex.org/I94624287"]},{"raw_affiliation_string":"University of Twente Enschede Netherlands","institution_ids":["https://openalex.org/I94624287"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5111930228"],"corresponding_institution_ids":["https://openalex.org/I94624287"],"apc_list":null,"apc_paid":null,"fwci":1.6954,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.87758759,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"40","issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.6787169575691223},{"id":"https://openalex.org/keywords/internet-traffic","display_name":"Internet traffic","score":0.5848103761672974},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5529079437255859},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.5383890867233276},{"id":"https://openalex.org/keywords/homogeneous","display_name":"Homogeneous","score":0.5061632990837097},{"id":"https://openalex.org/keywords/the-internet","display_name":"The Internet","score":0.35540539026260376},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.23720166087150574},{"id":"https://openalex.org/keywords/statistical-physics","display_name":"Statistical physics","score":0.1968601644039154},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1028924286365509},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07440626621246338}],"concepts":[{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.6787169575691223},{"id":"https://openalex.org/C63969886","wikidata":"https://www.wikidata.org/wiki/Q3536440","display_name":"Internet traffic","level":3,"score":0.5848103761672974},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5529079437255859},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.5383890867233276},{"id":"https://openalex.org/C66882249","wikidata":"https://www.wikidata.org/wiki/Q169336","display_name":"Homogeneous","level":2,"score":0.5061632990837097},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.35540539026260376},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.23720166087150574},{"id":"https://openalex.org/C121864883","wikidata":"https://www.wikidata.org/wiki/Q677916","display_name":"Statistical physics","level":1,"score":0.1968601644039154},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1028924286365509},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07440626621246338},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1109/ifipnetworking.2014.6857099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ifipnetworking.2014.6857099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IFIP Networking Conference","raw_type":"proceedings-article"},{"id":"pmh:oai:ris.utwente.nl:openaire_cris_publications/497bade4-eec3-41bc-871e-d7a3fa547136","is_oa":false,"landing_page_url":"https://research.utwente.nl/en/publications/497bade4-eec3-41bc-871e-d7a3fa547136","pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"de Oliveira Schmidt, R, Sadre, R, Melnikov, N, Sch\u00f6nw\u00e4lder, J & Pras, A 2014, Linking network usage patterns to traffic Gaussianity fit. in Proceedings of the 13th IFIP Networking Conference 2014. IEEE, USA, pp. 1-9, 13th IFIP Networking Conference 2014, Trondheim, Norway, 2/06/14. https://doi.org/10.1109/IFIPNetworking.2014.6857099","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:dial.uclouvain.be:boreal:203025","is_oa":false,"landing_page_url":"http://hdl.handle.net/2078.1/203025","pdf_url":null,"source":{"id":"https://openalex.org/S4306401902","display_name":"Digital Access to Libraries (Universit\u00e9 catholique de Louvain (UCL), l'Universit\u00e9 de Namur (UNamur) and the Universit\u00e9 Saint-Louis (USL-B))","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I95674353","host_organization_name":"UCLouvain","host_organization_lineage":["https://openalex.org/I95674353"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:pure.atira.dk:publications/a959efdd-eaad-4c18-8ee1-6d4dabe17d04","is_oa":false,"landing_page_url":"http://www.scopus.com/inward/record.url?scp=84905976613&partnerID=8YFLogxK","pdf_url":null,"source":{"id":"https://openalex.org/S4306401731","display_name":"VBN Forskningsportal (Aalborg Universitet)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I891191580","host_organization_name":"Aalborg University","host_organization_lineage":["https://openalex.org/I891191580"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"De O. Schmidt, R, Sadre, R, Melnikov, N, Sch\u00f6nw\u00e4lder, J & Pras, A 2014, Linking network usage patterns to traffic Gaussianity fit. in 2014 IFIP Networking Conference, IFIP Networking 2014., 6857099, IEEE Computer Society Press, pp. 1-9, IFIP Networking Conference 2014, Trondheim, Norway, 02/06/2014. https://doi.org/10.1109/IFIPNetworking.2014.6857099","raw_type":"info:eu-repo/semantics/publishedVersion"},{"id":"pmh:oai:ris.utwente.nl:publications/497bade4-eec3-41bc-871e-d7a3fa547136","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922991","display_name":"University of Twente Research Information","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1481841369","https://openalex.org/W1978061253","https://openalex.org/W1990749121","https://openalex.org/W2016530318","https://openalex.org/W2019719854","https://openalex.org/W2099386189","https://openalex.org/W2105818147","https://openalex.org/W2110873947","https://openalex.org/W2112508021","https://openalex.org/W2137432096","https://openalex.org/W2142215216","https://openalex.org/W2142225982","https://openalex.org/W2148275477","https://openalex.org/W2149600645","https://openalex.org/W2152748709","https://openalex.org/W2154195006","https://openalex.org/W2166221608","https://openalex.org/W4232451525","https://openalex.org/W4236325251","https://openalex.org/W4250185194","https://openalex.org/W6680261719","https://openalex.org/W6681044613"],"related_works":["https://openalex.org/W2937284497","https://openalex.org/W2159656221","https://openalex.org/W2096319108","https://openalex.org/W1538599242","https://openalex.org/W1985609408","https://openalex.org/W2943019377","https://openalex.org/W3103749384","https://openalex.org/W1480832057","https://openalex.org/W1933691230","https://openalex.org/W2013428012"],"abstract_inverted_index":{"Gaussian":[0,21,28],"traffic":[1,11,18,32,56,64,92,104,124,136,158,185],"models":[2],"are":[3,20,73],"widely":[4],"used":[5],"in":[6,39,71,167],"the":[7,27,40,48,68,89,95,119,123,152,179],"domain":[8],"of":[9,30,50,78,83,91,97,99,122,156],"network":[10,31,61,100],"modeling.":[12],"The":[13,81],"central":[14],"assumption":[15],"is":[16,86],"that":[17,47,110,145,165,187],"aggregates":[19],"distributed.":[22],"Due":[23],"to":[24,87,118,151,178],"its":[25],"importance,":[26],"character":[29],"has":[33],"been":[34],"extensively":[35],"assessed":[36],"by":[37,55,67,126],"researchers":[38,45],"past":[41],"years.":[42],"In":[43,130,160],"2001,":[44],"showed":[46],"property":[49],"Gaussianity":[51,98,120,146,190],"can":[52,147,182],"be":[53,148],"disturbed":[54],"bursts.":[57,159],"However,":[58],"assumptions":[59],"on":[60,94],"infrastructure":[62],"and":[63,108,140],"composition":[65],"made":[66],"authors":[69],"back":[70],"2001":[72],"not":[74],"consistent":[75],"with":[76],"those":[77],"today's":[79],"networks.":[80],"goal":[82],"this":[84],"paper":[85],"study":[88],"impact":[90],"bursts":[93,186],"degree":[96,121],"traffic.":[101],"We":[102],"identify":[103,183],"bursts,":[105],"uncover":[106],"applications":[107],"hosts":[109,173],"generate":[111],"them":[112],"and,":[113],"ultimately,":[114],"relate":[115],"these":[116],"findings":[117],"expressed":[125],"a":[127,168],"goodness-of-fit":[128],"factor.":[129],"our":[131],"analysis":[132],"we":[133,162,181],"use":[134],"recent":[135],"captures":[137],"from":[138],"2011":[139],"2012.":[141],"Our":[142],"results":[143],"show":[144,164],"directly":[149],"linked":[150],"presence":[153],"or":[154],"absence":[155],"extreme":[157,184],"addition,":[161],"also":[163],"even":[166],"more":[169],"homogeneous":[170],"network,":[171],"where":[172],"have":[174],"similar":[175],"access":[176],"speeds":[177],"Internet,":[180],"might":[188],"compromise":[189],"fit.":[191]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":2}],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
