{"id":"https://openalex.org/W2921803851","doi":"https://doi.org/10.1109/access.2019.2927494","title":"A Bayesian Poisson\u2013Gaussian Process Model for Popularity Learning in Edge-Caching Networks","display_name":"A Bayesian Poisson\u2013Gaussian Process Model for Popularity Learning in Edge-Caching Networks","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2921803851","doi":"https://doi.org/10.1109/access.2019.2927494","mag":"2921803851"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2927494","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2927494","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08758090.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08758090.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047908487","display_name":"Sajad Mehrizi","orcid":"https://orcid.org/0000-0003-2556-3865"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":true,"raw_author_name":"Sajad Mehrizi","raw_affiliation_strings":["Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg City, Luxembourg","Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg City, Luxembourg#TAB#"],"affiliations":[{"raw_affiliation_string":"Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg City, Luxembourg","institution_ids":["https://openalex.org/I186903577"]},{"raw_affiliation_string":"Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg City, Luxembourg#TAB#","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039496732","display_name":"Anestis Tsakmalis","orcid":"https://orcid.org/0000-0002-4528-396X"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Anestis Tsakmalis","raw_affiliation_strings":["Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg City, Luxembourg","Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg City, Luxembourg#TAB#"],"affiliations":[{"raw_affiliation_string":"Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg City, Luxembourg","institution_ids":["https://openalex.org/I186903577"]},{"raw_affiliation_string":"Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg City, Luxembourg#TAB#","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016154330","display_name":"Symeon Chatzinotas","orcid":"https://orcid.org/0000-0001-5122-0001"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Symeon Chatzinotas","raw_affiliation_strings":["Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg City, Luxembourg","Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg City, Luxembourg#TAB#"],"affiliations":[{"raw_affiliation_string":"Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg City, Luxembourg","institution_ids":["https://openalex.org/I186903577"]},{"raw_affiliation_string":"Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg City, Luxembourg#TAB#","institution_ids":["https://openalex.org/I186903577"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080037825","display_name":"Bj\u00f6rn Ottersten","orcid":"https://orcid.org/0000-0003-2298-6774"},"institutions":[{"id":"https://openalex.org/I186903577","display_name":"University of Luxembourg","ror":"https://ror.org/036x5ad56","country_code":"LU","type":"education","lineage":["https://openalex.org/I186903577"]}],"countries":["LU"],"is_corresponding":false,"raw_author_name":"Bjorn Ottersten","raw_affiliation_strings":["Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg City, Luxembourg","Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg City, Luxembourg#TAB#"],"affiliations":[{"raw_affiliation_string":"Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg City, Luxembourg","institution_ids":["https://openalex.org/I186903577"]},{"raw_affiliation_string":"Interdisciplinary Centre for Security, Reliability and Trust, University of Luxembourg, Luxembourg City, Luxembourg#TAB#","institution_ids":["https://openalex.org/I186903577"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5047908487"],"corresponding_institution_ids":["https://openalex.org/I186903577"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02697972,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"7","issue":null,"first_page":"92341","last_page":"92354"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":1.0,"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/T11478","display_name":"Caching and Content Delivery","score":1.0,"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/T12238","display_name":"Green IT and Sustainability","score":0.9886000156402588,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10148","display_name":"Advanced MIMO Systems Optimization","score":0.9883999824523926,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.713456928730011},{"id":"https://openalex.org/keywords/markov-chain-monte-carlo","display_name":"Markov chain Monte Carlo","score":0.6850278973579407},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.518409013748169},{"id":"https://openalex.org/keywords/poisson-distribution","display_name":"Poisson distribution","score":0.5179194808006287},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.46105873584747314},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.4505593478679657},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4436192512512207},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.42092499136924744},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3189138174057007},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2039739191532135},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.07876524329185486}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.713456928730011},{"id":"https://openalex.org/C111350023","wikidata":"https://www.wikidata.org/wiki/Q1191869","display_name":"Markov chain Monte Carlo","level":3,"score":0.6850278973579407},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.518409013748169},{"id":"https://openalex.org/C100906024","wikidata":"https://www.wikidata.org/wiki/Q205692","display_name":"Poisson distribution","level":2,"score":0.5179194808006287},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.46105873584747314},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.4505593478679657},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4436192512512207},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.42092499136924744},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3189138174057007},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2039739191532135},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.07876524329185486},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/access.2019.2927494","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2927494","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08758090.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:1903.03065","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1903.03065","pdf_url":"https://arxiv.org/pdf/1903.03065","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2921803851","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1903.03065","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1903.03065","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1903.03065","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2927494","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2927494","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08758090.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/9"}],"awards":[{"id":"https://openalex.org/G1187305618","display_name":null,"funder_award_id":"LISTEN","funder_id":"https://openalex.org/F4320321038","funder_display_name":"Fonds National de la Recherche Luxembourg"},{"id":"https://openalex.org/G3455464336","display_name":null,"funder_award_id":"PROCAST","funder_id":"https://openalex.org/F4320321038","funder_display_name":"Fonds National de la Recherche Luxembourg"}],"funders":[{"id":"https://openalex.org/F4320321038","display_name":"Fonds National de la Recherche Luxembourg","ror":"https://ror.org/039z13y21"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2921803851.pdf","grobid_xml":"https://content.openalex.org/works/W2921803851.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W1502922572","https://openalex.org/W1663973292","https://openalex.org/W1722699250","https://openalex.org/W1767905185","https://openalex.org/W1972738071","https://openalex.org/W1973628995","https://openalex.org/W2010564749","https://openalex.org/W2060585552","https://openalex.org/W2106248279","https://openalex.org/W2112053513","https://openalex.org/W2166021179","https://openalex.org/W2219888463","https://openalex.org/W2263102236","https://openalex.org/W2338807306","https://openalex.org/W2425152312","https://openalex.org/W2478027467","https://openalex.org/W2511171290","https://openalex.org/W2547161317","https://openalex.org/W2595142274","https://openalex.org/W2624186268","https://openalex.org/W2746390786","https://openalex.org/W2772149718","https://openalex.org/W2787561206","https://openalex.org/W2790635750","https://openalex.org/W2798766386","https://openalex.org/W2900490252","https://openalex.org/W2906879147","https://openalex.org/W2911546748","https://openalex.org/W2918639054","https://openalex.org/W2922381956","https://openalex.org/W2962801070","https://openalex.org/W2963611429","https://openalex.org/W2979568755","https://openalex.org/W3029645440","https://openalex.org/W3123857276","https://openalex.org/W6638674303","https://openalex.org/W6762604725"],"related_works":["https://openalex.org/W2940715532","https://openalex.org/W1721345319","https://openalex.org/W133532789","https://openalex.org/W2771292152","https://openalex.org/W2028625880","https://openalex.org/W3128611278","https://openalex.org/W2107182617","https://openalex.org/W3016894763","https://openalex.org/W849187530","https://openalex.org/W1592410721","https://openalex.org/W3015085982","https://openalex.org/W3105071298","https://openalex.org/W3013739012","https://openalex.org/W2059992176","https://openalex.org/W1905910222","https://openalex.org/W2521823215","https://openalex.org/W3185747415","https://openalex.org/W2936616803","https://openalex.org/W2906919527","https://openalex.org/W3033939064"],"abstract_inverted_index":{"Edge-caching":[0],"is":[1,68,116,148,157,179,186,195],"recognized":[2],"as":[3,94,205],"an":[4,28,35,206,223],"efficient":[5],"technique":[6],"for":[7,55,97],"future":[8],"cellular":[9],"networks":[10],"to":[11,83,123,160,174,234,251,267],"improve":[12],"network":[13],"capacity":[14],"and":[15,90,246,259],"user-perceived":[16],"quality":[17],"of":[18,24,64,106,193,218,255],"experience.":[19],"To":[20,162],"enhance":[21],"the":[22,56,65,72,87,98,104,125,130,136,144,153,184,191,200,212,216,219,253,260],"performance":[23],"caching":[25],"systems,":[26],"designing":[27],"accurate":[29],"content":[30,57,137],"request":[31,58],"prediction":[32,257],"algorithm":[33,233,258],"plays":[34],"important":[36,62],"role.":[37],"In":[38,121],"this":[39,176,236,271],"paper,":[40],"we":[41,142,165,198,227],"develop":[42],"a":[43,46,51,95,167,229],"flexible":[44],"model,":[45],"Poisson":[47,131],"regressor":[48],"based":[49],"on":[50,244],"Gaussian":[52],"process":[53],"(GP),":[54],"distribution.":[59],"The":[60],"first":[61],"advantage":[63],"proposed":[66],"model":[67,126],"that":[69,128,147],"it":[70,92,101],"encourages":[71],"already":[73],"existing":[74,268],"or":[75,108,134],"<italic":[76,109,138],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[77,110,139],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">seen</i>":[78],"contents":[79,194],"with":[80],"similar":[81],"features":[82],"be":[84],"correlated":[85],"in":[86,119,270],"feature":[88],"space":[89],"therefore":[91],"acts":[93],"regularizer":[96],"estimation.":[99],"Second,":[100],"allows":[102],"predicting":[103],"popularities":[105],"newly-added":[107],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">unseen</i>":[111],"contents,":[112],"whose":[113],"statistical":[114],"data":[115],"not":[117],"available":[118],"advance.":[120],"order":[122],"learn":[124],"parameters":[127],"yield":[129],"arrival":[132],"rates":[133],"alternatively":[135],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">popularities</i>":[140],",":[141],"invoke":[143],"Bayesian":[145],"approach":[146],"robust":[149],"against":[150],"over-fitting.":[151],"However,":[152],"resulting":[154],"posterior":[155,220],"distribution":[156,221],"analytically":[158],"intractable":[159],"compute.":[161],"tackle":[163],"this,":[164],"apply":[166],"Markov":[168],"chain":[169],"Monte":[170],"Carlo":[171],"(MCMC)":[172],"method":[173,204,214],"approximate":[175],"distribution,":[177],"which":[178],"also":[180],"asymptotically":[181],"exact.":[182],"Nevertheless,":[183],"MCMC":[185],"computationally":[187],"demanding,":[188],"especially":[189],"when":[190],"number":[192],"large.":[196],"Thus,":[197],"employ":[199],"variational":[201],"Bayes":[202],"(VB)":[203],"alternative":[207],"low-complexity":[208],"solution.":[209],"More":[210],"specifically,":[211],"VB":[213],"addresses":[215],"approximation":[217],"through":[222],"optimization":[224,237],"problem.":[225,238],"Subsequently,":[226],"present":[228],"fast":[230],"block-coordinate":[231],"descent":[232],"solve":[235],"Finally,":[239],"extensive":[240],"simulation":[241],"results":[242],"both":[243],"synthetic":[245],"real-world":[247],"datasets":[248],"are":[249],"provided":[250],"show":[252],"accuracy":[254],"our":[256],"cache":[261],"hit":[262],"ratio":[263],"(CHR)":[264],"gain":[265],"compared":[266],"methods":[269],"paper.":[272]},"counts_by_year":[],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}