{"id":"https://openalex.org/W2009008945","doi":"https://doi.org/10.1109/lcomm.2014.2377236","title":"Analysis of Finite Buffer Queue: Maximum Entropy Probability Distribution With Shifted Fractional Geometric and Arithmetic Means","display_name":"Analysis of Finite Buffer Queue: Maximum Entropy Probability Distribution With Shifted Fractional Geometric and Arithmetic Means","publication_year":2014,"publication_date":"2014-12-04","ids":{"openalex":"https://openalex.org/W2009008945","doi":"https://doi.org/10.1109/lcomm.2014.2377236","mag":"2009008945"},"language":"en","primary_location":{"id":"doi:10.1109/lcomm.2014.2377236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2014.2377236","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","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/A5102979888","display_name":"Amit Kumar Singh","orcid":"https://orcid.org/0000-0002-8095-7237"},"institutions":[{"id":"https://openalex.org/I152429107","display_name":"Jawaharlal Nehru University","ror":"https://ror.org/0567v8t28","country_code":"IN","type":"education","lineage":["https://openalex.org/I152429107"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Amit Kumar Singh","raw_affiliation_strings":["School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India","School of Computer and Systems Science, Jawaharlal Nehru University, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India","institution_ids":["https://openalex.org/I152429107"]},{"raw_affiliation_string":"School of Computer and Systems Science, Jawaharlal Nehru University, New Delhi, India","institution_ids":["https://openalex.org/I152429107"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101791975","display_name":"Harendra Singh","orcid":"https://orcid.org/0000-0003-3667-4261"},"institutions":[{"id":"https://openalex.org/I152429107","display_name":"Jawaharlal Nehru University","ror":"https://ror.org/0567v8t28","country_code":"IN","type":"education","lineage":["https://openalex.org/I152429107"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Harendra Pratap Singh","raw_affiliation_strings":["School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India","School of Computer and Systems Science, Jawaharlal Nehru University, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India","institution_ids":["https://openalex.org/I152429107"]},{"raw_affiliation_string":"School of Computer and Systems Science, Jawaharlal Nehru University, New Delhi, India","institution_ids":["https://openalex.org/I152429107"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078141197","display_name":"Karmeshu","orcid":null},"institutions":[{"id":"https://openalex.org/I152429107","display_name":"Jawaharlal Nehru University","ror":"https://ror.org/0567v8t28","country_code":"IN","type":"education","lineage":["https://openalex.org/I152429107"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Karmeshu","raw_affiliation_strings":["School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India","School of Computer and Systems Science, Jawaharlal Nehru University, New Delhi, India"],"affiliations":[{"raw_affiliation_string":"School of Computer and Systems Sciences, Jawaharlal Nehru University, New Delhi, India","institution_ids":["https://openalex.org/I152429107"]},{"raw_affiliation_string":"School of Computer and Systems Science, Jawaharlal Nehru University, New Delhi, India","institution_ids":["https://openalex.org/I152429107"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5102979888"],"corresponding_institution_ids":["https://openalex.org/I152429107"],"apc_list":null,"apc_paid":null,"fwci":0.2345,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.54310862,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"19","issue":"2","first_page":"163","last_page":"166"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12261","display_name":"Statistical Mechanics and Entropy","score":0.9995999932289124,"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"}},"topics":[{"id":"https://openalex.org/T12261","display_name":"Statistical Mechanics and Entropy","score":0.9995999932289124,"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/T11270","display_name":"Complex Systems and Time Series Analysis","score":0.9858999848365784,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10410","display_name":"COVID-19 epidemiological studies","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.7554758787155151},{"id":"https://openalex.org/keywords/principle-of-maximum-entropy","display_name":"Principle of maximum entropy","score":0.5489951372146606},{"id":"https://openalex.org/keywords/maximum-entropy-probability-distribution","display_name":"Maximum entropy probability distribution","score":0.49991536140441895},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.4377545118331909},{"id":"https://openalex.org/keywords/entropy","display_name":"Entropy (arrow of time)","score":0.42178744077682495},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.41665640473365784},{"id":"https://openalex.org/keywords/queue","display_name":"Queue","score":0.4141901433467865},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28249359130859375},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.13516461849212646}],"concepts":[{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.7554758787155151},{"id":"https://openalex.org/C9679016","wikidata":"https://www.wikidata.org/wiki/Q1417473","display_name":"Principle of maximum entropy","level":2,"score":0.5489951372146606},{"id":"https://openalex.org/C60507348","wikidata":"https://www.wikidata.org/wiki/Q6795892","display_name":"Maximum entropy probability distribution","level":3,"score":0.49991536140441895},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.4377545118331909},{"id":"https://openalex.org/C106301342","wikidata":"https://www.wikidata.org/wiki/Q4117933","display_name":"Entropy (arrow of time)","level":2,"score":0.42178744077682495},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.41665640473365784},{"id":"https://openalex.org/C160403385","wikidata":"https://www.wikidata.org/wiki/Q220543","display_name":"Queue","level":2,"score":0.4141901433467865},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28249359130859375},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.13516461849212646},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/lcomm.2014.2377236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/lcomm.2014.2377236","pdf_url":null,"source":{"id":"https://openalex.org/S147316732","display_name":"IEEE Communications Letters","issn_l":"1089-7798","issn":["1089-7798","1558-2558","2373-7891"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310316002","host_organization_name":"IEEE Communications Society","host_organization_lineage":["https://openalex.org/P4310316002","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Communications Society","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 Communications Letters","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1822373189","https://openalex.org/W1974322285","https://openalex.org/W1984601143","https://openalex.org/W1989681358","https://openalex.org/W1993803315","https://openalex.org/W2018490621","https://openalex.org/W2033063733","https://openalex.org/W2034921015","https://openalex.org/W2052958516","https://openalex.org/W2068375500","https://openalex.org/W2105632570","https://openalex.org/W2112943055","https://openalex.org/W2127756501","https://openalex.org/W2141530847","https://openalex.org/W2159663829","https://openalex.org/W2296319761","https://openalex.org/W2318093595","https://openalex.org/W2487202993","https://openalex.org/W4249046827","https://openalex.org/W4250589301","https://openalex.org/W6648664407"],"related_works":["https://openalex.org/W2034921015","https://openalex.org/W2064875109","https://openalex.org/W59993211","https://openalex.org/W2889261288","https://openalex.org/W4385752617","https://openalex.org/W2042719478","https://openalex.org/W2068679119","https://openalex.org/W2970690932","https://openalex.org/W3041490575","https://openalex.org/W2742795413"],"abstract_inverted_index":{"A":[0],"theoretical":[1],"method":[2],"based":[3,88],"on":[4,89],"maximum":[5,50,90],"Shannon":[6],"entropy":[7,51,159],"framework":[8,52],"(MSEF)":[9],"in":[10,133],"the":[11,14,21,28,35,65,74,99,105,120,127,146,153,162],"presence":[12],"of":[13,20,34,67,110,126,130,149,166],"geometric/or":[15],"shifted":[16,58,140],"fractional":[17,59,102,141,163],"geometric":[18,142],"mean":[19,61,143,165],"queue":[22,131,150,167],"size":[23,41,132,151],"is":[24,42,53,71,98,112],"applied":[25],"to":[26,44,55,63,73,118,161],"study":[27],"finite":[29,134],"buffer":[30,40,135],"system.":[31,136],"Analytical":[32],"expression":[33,66,125],"loss":[36,68],"probability":[37,69,128],"for":[38],"large":[39],"found":[43],"depict":[45],"power":[46],"law":[47],"behavior.":[48],"The":[49,108],"extended":[54],"incorporate":[56],"additional":[57],"arithmetic":[60,164],"constraint":[62,144],"yield":[64],"which":[70],"similar":[72],"one":[75,117,154],"derived":[76],"by":[77,156],"Kim":[78],"and":[79,104],"Shroff":[80],"who":[81],"have":[82],"employed":[83],"an":[84],"entirely":[85],"different":[86],"approach":[87],"variance":[91],"asymptotic":[92],"(MVA)":[93],"approximation.":[94],"An":[95],"important":[96],"finding":[97],"relationship":[100],"between":[101],"order":[103],"Hurst":[106],"parameter.":[107],"advantage":[109],"MSEF":[111,138],"that":[113],"it":[114],"has":[115],"enabled":[116],"derive":[119],"analytical":[121],"closed":[122],"form":[123],"generalized":[124],"distribution":[129,148],"Further,":[137],"with":[139],"gives":[145],"same":[147],"as":[152],"obtained":[155],"maximizing":[157],"Tsallis":[158],"subject":[160],"size.":[168]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}