{"id":"https://openalex.org/W1563298452","doi":"https://doi.org/10.1109/icc.2003.1204166","title":"On the applicability of the on-off type approximation of the effective bandwidth function","display_name":"On the applicability of the on-off type approximation of the effective bandwidth function","publication_year":2004,"publication_date":"2004-03-22","ids":{"openalex":"https://openalex.org/W1563298452","doi":"https://doi.org/10.1109/icc.2003.1204166","mag":"1563298452"},"language":"en","primary_location":{"id":"doi:10.1109/icc.2003.1204166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2003.1204166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Communications, 2003. ICC '03.","raw_type":"proceedings-article"},"type":"conference-paper","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/A5020908518","display_name":"\u00c1rp\u00e1d Szl\u00e1vik","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131589","display_name":"Ericsson (Hungary)","ror":"https://ror.org/03c0yyz21","country_code":"HU","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210131589"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"A. Szlavik","raw_affiliation_strings":["Traffic Analysis and Network Performance Laboratory, Ericsson Research Hungary, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Traffic Analysis and Network Performance Laboratory, Ericsson Research Hungary, Budapest, Hungary","institution_ids":["https://openalex.org/I4210131589"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014637430","display_name":"Gergely Seres","orcid":null},"institutions":[{"id":"https://openalex.org/I4210131589","display_name":"Ericsson (Hungary)","ror":"https://ror.org/03c0yyz21","country_code":"HU","type":"company","lineage":["https://openalex.org/I1306339040","https://openalex.org/I4210131589"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"G. Seres","raw_affiliation_strings":["Traffic Analysis and Network Performance Laboratory, Ericsson Research Hungary, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Traffic Analysis and Network Performance Laboratory, Ericsson Research Hungary, Budapest, Hungary","institution_ids":["https://openalex.org/I4210131589"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001581717","display_name":"J. Z\u00e1tonyi","orcid":null},"institutions":[{"id":"https://openalex.org/I3131446353","display_name":"Andr\u00e1ssy University Budapest","ror":"https://ror.org/05xezqk59","country_code":"HU","type":"education","lineage":["https://openalex.org/I3131446353"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"J. Zatonyi","raw_affiliation_strings":["High Speed Networks Laboratory, DTT, Budapest University\uc2a0of\uc2a0Technology\uc2a0and\uc2a0Economics, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"High Speed Networks Laboratory, DTT, Budapest University\uc2a0of\uc2a0Technology\uc2a0and\uc2a0Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I3131446353"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081387612","display_name":"J\u00f3zsef B\u0131\u0301r\u00f3","orcid":"https://orcid.org/0000-0002-9729-2702"},"institutions":[{"id":"https://openalex.org/I3131446353","display_name":"Andr\u00e1ssy University Budapest","ror":"https://ror.org/05xezqk59","country_code":"HU","type":"education","lineage":["https://openalex.org/I3131446353"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"J. Biro","raw_affiliation_strings":["High Speed Networks Laboratory, DTT, Budapest University\uc2a0of\uc2a0Technology\uc2a0and\uc2a0Economics, Budapest, Hungary"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"High Speed Networks Laboratory, DTT, Budapest University\uc2a0of\uc2a0Technology\uc2a0and\uc2a0Economics, Budapest, Hungary","institution_ids":["https://openalex.org/I3131446353"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5482,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.64770642,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"1","issue":null,"first_page":"183","last_page":"187"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10136","display_name":"Statistical Methods and Inference","score":0.9918000102043152,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.991100013256073,"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/T10698","display_name":"Transportation Planning and Optimization","score":0.9750000238418579,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.8018075227737427},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.7936537265777588},{"id":"https://openalex.org/keywords/statistical-time-division-multiplexing","display_name":"Statistical time division multiplexing","score":0.645577609539032},{"id":"https://openalex.org/keywords/logarithm","display_name":"Logarithm","score":0.6391665935516357},{"id":"https://openalex.org/keywords/multiplexing","display_name":"Multiplexing","score":0.5630140900611877},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5306885242462158},{"id":"https://openalex.org/keywords/dynamic-bandwidth-allocation","display_name":"Dynamic bandwidth allocation","score":0.498577356338501},{"id":"https://openalex.org/keywords/bandwidth-allocation","display_name":"Bandwidth allocation","score":0.441441148519516},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4397090673446655},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.3680880069732666},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.35946494340896606},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3453421890735626},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.219374418258667},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1939641833305359},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.17690321803092957},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10566115379333496}],"concepts":[{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.8018075227737427},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.7936537265777588},{"id":"https://openalex.org/C173512123","wikidata":"https://www.wikidata.org/wiki/Q5978010","display_name":"Statistical time division multiplexing","level":3,"score":0.645577609539032},{"id":"https://openalex.org/C39927690","wikidata":"https://www.wikidata.org/wiki/Q11197","display_name":"Logarithm","level":2,"score":0.6391665935516357},{"id":"https://openalex.org/C19275194","wikidata":"https://www.wikidata.org/wiki/Q222903","display_name":"Multiplexing","level":2,"score":0.5630140900611877},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5306885242462158},{"id":"https://openalex.org/C145062175","wikidata":"https://www.wikidata.org/wiki/Q5318947","display_name":"Dynamic bandwidth allocation","level":3,"score":0.498577356338501},{"id":"https://openalex.org/C200157131","wikidata":"https://www.wikidata.org/wiki/Q4854763","display_name":"Bandwidth allocation","level":3,"score":0.441441148519516},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4397090673446655},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.3680880069732666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.35946494340896606},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3453421890735626},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.219374418258667},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1939641833305359},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.17690321803092957},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10566115379333496}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc.2003.1204166","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc.2003.1204166","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE International Conference on Communications, 2003. ICC '03.","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W105261775","https://openalex.org/W165970210","https://openalex.org/W1520551920","https://openalex.org/W1556083742","https://openalex.org/W1589446340","https://openalex.org/W1986154514","https://openalex.org/W2042587503","https://openalex.org/W2087858620"],"related_works":["https://openalex.org/W3030636240","https://openalex.org/W431360389","https://openalex.org/W2063698109","https://openalex.org/W1580283584","https://openalex.org/W1538654733","https://openalex.org/W2166601301","https://openalex.org/W2361869782","https://openalex.org/W2057490875","https://openalex.org/W2149424498","https://openalex.org/W2188584738"],"abstract_inverted_index":{"This":[0,88],"paper":[1],"reviews":[2],"the":[3,13,16,26,31,41,45,49,54,85,92,95,101,106,121,126,138],"applicability":[4],"of":[5,19,25,30,48,59,82,94,100],"simplified":[6],"bandwidth":[7,43,50,97,113],"requirement":[8,51,114],"estimators":[9,39],"that":[10,65],"need":[11],"only":[12],"mean":[14],"and":[15],"peak":[17,139],"rates":[18],"traffic":[20,32,86,144],"flows":[21],"as":[22,76],"input,":[23],"instead":[24],"full":[27],"statistical":[28],"description":[29],"required":[33],"by":[34],"their":[35],"original":[36],"form.":[37],"The":[38],"approximate":[40],"effective":[42],"function,":[44],"key":[46],"component":[47],"estimate,":[52],"with":[53,74],"logarithmic":[55],"moment":[56],"generating":[57],"function":[58],"on-off":[60,67],"source.":[61],"It":[62],"is":[63,89],"demonstrated":[64],"this":[66],"type":[68,118],"approximation":[69,119],"has":[70],"to":[71,137,143],"be":[72],"used":[73],"care":[75],"it":[77],"results":[78,129],"in":[79,91,125,130],"a":[80,111],"loss":[81],"information":[83],"about":[84],"streams.":[87],"manifested":[90],"reduction":[93],"advanced":[96],"estimator":[98,115],"method":[99],"many":[102],"sources":[103],"asymptotics":[104],"into":[105],"basic":[107],"Chernoff-type":[108],"technique.":[109],"As":[110],"consequence":[112],"built":[116],"on/off":[117],"overlook":[120],"multiplexing":[122],"gain":[123],"occurring":[124],"buffers,":[127],"which":[128],"overly":[131],"conservative":[132],"estimates":[133],"close":[134],"or":[135],"equal":[136],"rate":[140],"when":[141],"applied":[142],"aggregates.":[145]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
