{"id":"https://openalex.org/W2047363947","doi":"https://doi.org/10.1145/1330555.1330567","title":"Characterization of moments and autocorrelation in MAPs","display_name":"Characterization of moments and autocorrelation in MAPs","publication_year":2007,"publication_date":"2007-09-01","ids":{"openalex":"https://openalex.org/W2047363947","doi":"https://doi.org/10.1145/1330555.1330567","mag":"2047363947"},"language":"en","primary_location":{"id":"doi:10.1145/1330555.1330567","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1330555.1330567","pdf_url":null,"source":{"id":"https://openalex.org/S4210187660","display_name":"ACM SIGMETRICS Performance Evaluation Review","issn_l":"0163-5999","issn":["0163-5999","1557-9484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGMETRICS Performance Evaluation Review","raw_type":"journal-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/A5045967404","display_name":"Giuliano Casale","orcid":"https://orcid.org/0000-0003-4548-7951"},"institutions":[{"id":"https://openalex.org/I267592682","display_name":"Williams (United States)","ror":"https://ror.org/007zhvp17","country_code":"US","type":"company","lineage":["https://openalex.org/I267592682"]},{"id":"https://openalex.org/I16285277","display_name":"William & Mary","ror":"https://ror.org/03hsf0573","country_code":"US","type":"education","lineage":["https://openalex.org/I16285277"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Giuliano Casale","raw_affiliation_strings":["College of William & Mary, Williamsburg, VA",", College of William and Mary, Williamsburg, VA"],"affiliations":[{"raw_affiliation_string":"College of William & Mary, Williamsburg, VA","institution_ids":["https://openalex.org/I16285277","https://openalex.org/I267592682"]},{"raw_affiliation_string":", College of William and Mary, Williamsburg, VA","institution_ids":["https://openalex.org/I16285277"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049890668","display_name":"Eddy Z. Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I16285277","display_name":"William & Mary","ror":"https://ror.org/03hsf0573","country_code":"US","type":"education","lineage":["https://openalex.org/I16285277"]},{"id":"https://openalex.org/I267592682","display_name":"Williams (United States)","ror":"https://ror.org/007zhvp17","country_code":"US","type":"company","lineage":["https://openalex.org/I267592682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eddy Z. Zhang","raw_affiliation_strings":["College of William & Mary, Williamsburg, VA",", College of William and Mary, Williamsburg, VA"],"affiliations":[{"raw_affiliation_string":"College of William & Mary, Williamsburg, VA","institution_ids":["https://openalex.org/I16285277","https://openalex.org/I267592682"]},{"raw_affiliation_string":", College of William and Mary, Williamsburg, VA","institution_ids":["https://openalex.org/I16285277"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017102040","display_name":"Evgenia Smirni","orcid":"https://orcid.org/0000-0001-8754-581X"},"institutions":[{"id":"https://openalex.org/I16285277","display_name":"William & Mary","ror":"https://ror.org/03hsf0573","country_code":"US","type":"education","lineage":["https://openalex.org/I16285277"]},{"id":"https://openalex.org/I267592682","display_name":"Williams (United States)","ror":"https://ror.org/007zhvp17","country_code":"US","type":"company","lineage":["https://openalex.org/I267592682"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Evgenia Smirni","raw_affiliation_strings":["College of William & Mary, Williamsburg, VA",", College of William and Mary, Williamsburg, VA"],"affiliations":[{"raw_affiliation_string":"College of William & Mary, Williamsburg, VA","institution_ids":["https://openalex.org/I16285277","https://openalex.org/I267592682"]},{"raw_affiliation_string":", College of William and Mary, Williamsburg, VA","institution_ids":["https://openalex.org/I16285277"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045967404"],"corresponding_institution_ids":["https://openalex.org/I16285277","https://openalex.org/I267592682"],"apc_list":null,"apc_paid":null,"fwci":1.3777,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.83302492,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"35","issue":"2","first_page":"27","last_page":"29"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.9824000000953674,"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/T10575","display_name":"Wireless Communication Networks Research","score":0.9599000215530396,"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/erlang","display_name":"Erlang (programming language)","score":0.868472695350647},{"id":"https://openalex.org/keywords/point-process","display_name":"Point process","score":0.7440527677536011},{"id":"https://openalex.org/keywords/autocorrelation","display_name":"Autocorrelation","score":0.7029818296432495},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.6794559955596924},{"id":"https://openalex.org/keywords/queueing-theory","display_name":"Queueing theory","score":0.6734041571617126},{"id":"https://openalex.org/keywords/markovian-arrival-process","display_name":"Markovian arrival process","score":0.6263002753257751},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5856279730796814},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5498648881912231},{"id":"https://openalex.org/keywords/characterization","display_name":"Characterization (materials science)","score":0.5374240279197693},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.4825231730937958},{"id":"https://openalex.org/keywords/exponential-function","display_name":"Exponential function","score":0.4772484302520752},{"id":"https://openalex.org/keywords/poisson-process","display_name":"Poisson process","score":0.46455118060112},{"id":"https://openalex.org/keywords/cox-process","display_name":"Cox process","score":0.45538759231567383},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4215922951698303},{"id":"https://openalex.org/keywords/poisson-point-process","display_name":"Poisson point process","score":0.41221657395362854},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.34880736470222473},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2806244492530823},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1908360719680786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.11358973383903503},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.10228899121284485},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.08414673805236816}],"concepts":[{"id":"https://openalex.org/C82484044","wikidata":"https://www.wikidata.org/wiki/Q334879","display_name":"Erlang (programming language)","level":3,"score":0.868472695350647},{"id":"https://openalex.org/C88871306","wikidata":"https://www.wikidata.org/wiki/Q7208287","display_name":"Point process","level":2,"score":0.7440527677536011},{"id":"https://openalex.org/C5297727","wikidata":"https://www.wikidata.org/wiki/Q786970","display_name":"Autocorrelation","level":2,"score":0.7029818296432495},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.6794559955596924},{"id":"https://openalex.org/C22684755","wikidata":"https://www.wikidata.org/wiki/Q847526","display_name":"Queueing theory","level":2,"score":0.6734041571617126},{"id":"https://openalex.org/C192163390","wikidata":"https://www.wikidata.org/wiki/Q612061","display_name":"Markovian arrival process","level":3,"score":0.6263002753257751},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5856279730796814},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5498648881912231},{"id":"https://openalex.org/C2780841128","wikidata":"https://www.wikidata.org/wiki/Q5073781","display_name":"Characterization (materials science)","level":2,"score":0.5374240279197693},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.4825231730937958},{"id":"https://openalex.org/C151376022","wikidata":"https://www.wikidata.org/wiki/Q168698","display_name":"Exponential function","level":2,"score":0.4772484302520752},{"id":"https://openalex.org/C166144826","wikidata":"https://www.wikidata.org/wiki/Q1145117","display_name":"Poisson process","level":3,"score":0.46455118060112},{"id":"https://openalex.org/C155051063","wikidata":"https://www.wikidata.org/wiki/Q1290919","display_name":"Cox process","level":4,"score":0.45538759231567383},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4215922951698303},{"id":"https://openalex.org/C16757284","wikidata":"https://www.wikidata.org/wiki/Q1145117","display_name":"Poisson point process","level":3,"score":0.41221657395362854},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.34880736470222473},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2806244492530823},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1908360719680786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.11358973383903503},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.10228899121284485},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.08414673805236816},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"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/C42383842","wikidata":"https://www.wikidata.org/wiki/Q193076","display_name":"Functional programming","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1330555.1330567","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1330555.1330567","pdf_url":null,"source":{"id":"https://openalex.org/S4210187660","display_name":"ACM SIGMETRICS Performance Evaluation Review","issn_l":"0163-5999","issn":["0163-5999","1557-9484"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM SIGMETRICS Performance Evaluation Review","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4803642054","display_name":null,"funder_award_id":"ITR-0428330CNS-0720699","funder_id":"https://openalex.org/F4320337388","funder_display_name":"Division of Computer and Network Systems"},{"id":"https://openalex.org/G6924240571","display_name":null,"funder_award_id":"ITR-0428330CNS-0720699","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337388","display_name":"Division of Computer and Network Systems","ror":"https://ror.org/02rdzmk74"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1532030862","https://openalex.org/W1916493786","https://openalex.org/W2024962498","https://openalex.org/W2090915484","https://openalex.org/W2094191414","https://openalex.org/W2100851133","https://openalex.org/W2112269116","https://openalex.org/W2137914635","https://openalex.org/W2143002993","https://openalex.org/W2160728547","https://openalex.org/W2799598053","https://openalex.org/W3174157885","https://openalex.org/W4285719527","https://openalex.org/W6680267384"],"related_works":["https://openalex.org/W2834438054","https://openalex.org/W2053199520","https://openalex.org/W4321520514","https://openalex.org/W109971678","https://openalex.org/W3105735763","https://openalex.org/W2905816586","https://openalex.org/W3169311008","https://openalex.org/W298290818","https://openalex.org/W51670601","https://openalex.org/W181150283"],"abstract_inverted_index":{"Markovian":[0],"Arrival":[1],"Processes":[2,20],"(MAPs)":[3],"[9]":[4],"are":[5],"a":[6],"general":[7],"class":[8],"of":[9,41,51],"point":[10],"processes":[11],"which":[12],"admits,":[13],"hyper-exponential,":[14],"Erlang,":[15],"and":[16,46,55],"Markov":[17],"Modulated":[18],"Poisson":[19],"(MMPPs)":[21],"as":[22],"special":[23],"cases.":[24],"MAPs":[25,35],"can":[26],"be":[27],"easily":[28],"integrated":[29],"within":[30],"queueing":[31],"models.":[32],"This":[33],"makes":[34],"useful":[36],"for":[37,47],"evaluating":[38],"the":[39,49],"impact":[40],"non-Poisson":[42],"workloads":[43],"in":[44],"networking":[45],"quantifying":[48],"performance":[50],"multi-tiered":[52],"e-commerce":[53],"applications":[54],"disk":[56],"drives":[57],"[8,":[58],"10].":[59]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}