{"id":"https://openalex.org/W2058548491","doi":"https://doi.org/10.1109/access.2013.2297736","title":"Parsimonious Network Traffic Modeling By Transformed ARMA Models","display_name":"Parsimonious Network Traffic Modeling By Transformed ARMA Models","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2058548491","doi":"https://doi.org/10.1109/access.2013.2297736","mag":"2058548491"},"language":"en","primary_location":{"id":"doi:10.1109/access.2013.2297736","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2013.2297736","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6705689/06710106.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6705689/06710106.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002896171","display_name":"Markus Laner","orcid":null},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Markus Laner","raw_affiliation_strings":["Vienna University of Technology, Institute of Telecommunications, Vienna, Austria","Inst. of Telecommun., Vienna Univ. of Technol., Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vienna University of Technology, Institute of Telecommunications, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Inst. of Telecommun., Vienna Univ. of Technol., Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062907826","display_name":"Philipp Svoboda","orcid":"https://orcid.org/0000-0002-2277-0378"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Philipp Svoboda","raw_affiliation_strings":["Vienna University of Technology, Institute of Telecommunications, Vienna, Austria","Inst. of Telecommun., Vienna Univ. of Technol., Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vienna University of Technology, Institute of Telecommunications, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Inst. of Telecommun., Vienna Univ. of Technol., Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009083554","display_name":"Markus Rupp","orcid":"https://orcid.org/0000-0001-9003-7779"},"institutions":[{"id":"https://openalex.org/I145847075","display_name":"TU Wien","ror":"https://ror.org/04d836q62","country_code":"AT","type":"education","lineage":["https://openalex.org/I145847075"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Markus Rupp","raw_affiliation_strings":["Vienna University of Technology, Institute of Telecommunications, Vienna, Austria","Inst. of Telecommun., Vienna Univ. of Technol., Vienna, Austria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vienna University of Technology, Institute of Telecommunications, Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]},{"raw_affiliation_string":"Inst. of Telecommun., Vienna Univ. of Technol., Vienna, Austria","institution_ids":["https://openalex.org/I145847075"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I145847075"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.0895,"has_fulltext":true,"cited_by_count":13,"citation_normalized_percentile":{"value":0.88608814,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"2","issue":null,"first_page":"40","last_page":"55"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9991999864578247,"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"}},{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9973000288009644,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9958999752998352,"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/computer-science","display_name":"Computer science","score":0.7722541689872742},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5617712736129761},{"id":"https://openalex.org/keywords/autoregressive\u2013moving-average-model","display_name":"Autoregressive\u2013moving-average model","score":0.5104986429214478},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.5064314603805542},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.49709656834602356},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.48025965690612793},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.4741648733615875},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.457838773727417},{"id":"https://openalex.org/keywords/traffic-generation-model","display_name":"Traffic generation model","score":0.45213454961776733},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4122188687324524},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16328901052474976},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.11449852585792542},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11343622207641602}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7722541689872742},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5617712736129761},{"id":"https://openalex.org/C74883015","wikidata":"https://www.wikidata.org/wiki/Q290467","display_name":"Autoregressive\u2013moving-average model","level":3,"score":0.5104986429214478},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.5064314603805542},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.49709656834602356},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.48025965690612793},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.4741648733615875},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.457838773727417},{"id":"https://openalex.org/C176715033","wikidata":"https://www.wikidata.org/wiki/Q2080768","display_name":"Traffic generation model","level":2,"score":0.45213454961776733},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4122188687324524},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16328901052474976},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.11449852585792542},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11343622207641602},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2013.2297736","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2013.2297736","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6705689/06710106.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:078baca164514a45bafe3a7ddd0c3c74","is_oa":true,"landing_page_url":"https://doaj.org/article/078baca164514a45bafe3a7ddd0c3c74","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 2, Pp 40-55 (2014)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2013.2297736","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2013.2297736","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6705689/06710106.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2058548491.pdf","grobid_xml":"https://content.openalex.org/works/W2058548491.grobid-xml"},"referenced_works_count":63,"referenced_works":["https://openalex.org/W7355550","https://openalex.org/W1522921534","https://openalex.org/W1572638336","https://openalex.org/W1644934820","https://openalex.org/W1667165204","https://openalex.org/W1965612527","https://openalex.org/W1968485253","https://openalex.org/W1972477464","https://openalex.org/W1974805629","https://openalex.org/W1993614146","https://openalex.org/W1996006617","https://openalex.org/W2001639420","https://openalex.org/W2007686801","https://openalex.org/W2015420561","https://openalex.org/W2023328381","https://openalex.org/W2040382413","https://openalex.org/W2042359934","https://openalex.org/W2044356576","https://openalex.org/W2070537008","https://openalex.org/W2072901950","https://openalex.org/W2075665712","https://openalex.org/W2084748248","https://openalex.org/W2093590637","https://openalex.org/W2095595785","https://openalex.org/W2098830545","https://openalex.org/W2101970018","https://openalex.org/W2103414083","https://openalex.org/W2105818147","https://openalex.org/W2107230739","https://openalex.org/W2107372872","https://openalex.org/W2107470505","https://openalex.org/W2108844674","https://openalex.org/W2110578705","https://openalex.org/W2119501598","https://openalex.org/W2122923407","https://openalex.org/W2125233571","https://openalex.org/W2126233903","https://openalex.org/W2133284827","https://openalex.org/W2133985894","https://openalex.org/W2135750899","https://openalex.org/W2137871773","https://openalex.org/W2141547117","https://openalex.org/W2142837391","https://openalex.org/W2148275477","https://openalex.org/W2155669300","https://openalex.org/W2158712333","https://openalex.org/W2159493394","https://openalex.org/W2160792187","https://openalex.org/W2166943557","https://openalex.org/W2169343036","https://openalex.org/W2186482420","https://openalex.org/W2206514730","https://openalex.org/W2405519782","https://openalex.org/W2477834368","https://openalex.org/W2482329843","https://openalex.org/W2497534953","https://openalex.org/W2989457786","https://openalex.org/W3007863253","https://openalex.org/W3140383866","https://openalex.org/W4292963524","https://openalex.org/W6684403655","https://openalex.org/W6687946934","https://openalex.org/W6713789819"],"related_works":["https://openalex.org/W2171218219","https://openalex.org/W1972271943","https://openalex.org/W2150410159","https://openalex.org/W4327525404","https://openalex.org/W4287185323","https://openalex.org/W3150905897","https://openalex.org/W199725827","https://openalex.org/W4248896451","https://openalex.org/W4394470125","https://openalex.org/W1983856919"],"abstract_inverted_index":{"Generating":[0],"synthetic":[1,135,159],"data":[2],"traffic,":[3,146,149],"which":[4,70],"statistically":[5],"resembles":[6],"its":[7],"recorded":[8,161],"counterpart":[9],"is":[10,54,126,137],"one":[11,21],"of":[12,16,45,50,75,133,158,173,188],"the":[13,42,73,76,94,117,123,131,142],"main":[14],"goals":[15],"network":[17,174],"traffic":[18,136,162,194],"modeling.":[19],"Equivalently,":[20],"or":[22],"several":[23,182],"random":[24],"processes":[25],"shall":[26],"be":[27,91],"created,":[28],"exhibiting":[29],"multiple":[30,51],"prescribed":[31],"statistical":[32,105],"measures.":[33,83],"In":[34],"this":[35],"paper,":[36],"we":[37],"present":[38],"a":[39,178],"framework":[40,99,143],"enabling":[41],"joint":[43],"representation":[44],"distributions,":[46],"autocorrelations":[47],"and":[48,88,111,129,152,160,185],"cross-correlations":[49],"processes.":[52],"This":[53,166],"achieved":[55],"by":[56],"so":[57],"called":[58],"transformed":[59],"Gaussian":[60],"autoregressive":[61],"moving-average":[62],"models.":[63],"They":[64],"constitute":[65],"an":[66],"analytically":[67],"tractable":[68],"framework,":[69,180],"allows":[71],"for":[72,81,93,170,192],"separation":[74],"fitting":[77,86,124,183],"problems":[78],"into":[79],"subproblems":[80],"individual":[82],"Accordingly,":[84],"known":[85],"techniques":[87],"algorithms":[89,189],"can":[90],"deployed":[92],"respective":[95],"solution.":[96],"The":[97,155],"proposed":[98],"exhibits":[100],"promising":[101],"properties:":[102],"1)":[103],"relevant":[104],"properties":[106],"such":[107],"as":[108],"heavy":[109],"tails":[110],"long-range":[112],"dependences":[113],"are":[114,120],"manageable;":[115],"2)":[116],"resulting":[118],"models":[119],"parsimonious;":[121],"3)":[122],"procedure":[125],"fully":[127],"automatic;":[128],"4)":[130],"complexity":[132],"generating":[134],"very":[138],"low.":[139],"We":[140],"evaluate":[141],"with":[144],"traced":[145],"i.e.,":[147],"aggregated":[148],"online":[150],"gaming,":[151],"video":[153],"streaming.":[154],"queueing":[156],"responses":[157],"exhibit":[163],"identical":[164],"statistics.":[165],"paper":[167],"provides":[168],"guidance":[169],"high-quality":[171],"modeling":[172],"traffic.":[175],"It":[176],"proposes":[177],"unifying":[179],"validates":[181],"algorithms,":[184],"suggests":[186],"combinations":[187],"suited":[190],"best":[191],"specific":[193],"types.":[195]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":4},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
