{"id":"https://openalex.org/W4318147452","doi":"https://doi.org/10.1109/bigdata55660.2022.10020706","title":"Storage Capacity Prediction using Population Analytics","display_name":"Storage Capacity Prediction using Population Analytics","publication_year":2022,"publication_date":"2022-12-17","ids":{"openalex":"https://openalex.org/W4318147452","doi":"https://doi.org/10.1109/bigdata55660.2022.10020706"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata55660.2022.10020706","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020706","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-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/A5103024478","display_name":"Umesh Deshpande","orcid":"https://orcid.org/0000-0002-4848-9381"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Umesh Deshpande","raw_affiliation_strings":["IBM Research, Almaden,San Jose,CA,USA","IBM Research, Almaden, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, Almaden,San Jose,CA,USA","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"IBM Research, Almaden, San Jose, CA, USA","institution_ids":["https://openalex.org/I4210085935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084042856","display_name":"Thanh Tung Pham","orcid":"https://orcid.org/0000-0002-7911-6430"},"institutions":[{"id":"https://openalex.org/I4210085935","display_name":"IBM Research - Almaden","ror":"https://ror.org/005w8dd04","country_code":"US","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210085935","https://openalex.org/I4210114115"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thanh Pham","raw_affiliation_strings":["IBM Research, Almaden,San Jose,CA,USA","IBM Research, Almaden, San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"IBM Research, Almaden,San Jose,CA,USA","institution_ids":["https://openalex.org/I4210085935"]},{"raw_affiliation_string":"IBM Research, Almaden, San Jose, CA, USA","institution_ids":["https://openalex.org/I4210085935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103024478"],"corresponding_institution_ids":["https://openalex.org/I4210085935"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.22330367,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4746","last_page":"4749"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9998000264167786,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9998000264167786,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9937999844551086,"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/T11719","display_name":"Data Quality and Management","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7507485747337341},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.56632000207901},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.5094946026802063},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5036570429801941},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4875302016735077},{"id":"https://openalex.org/keywords/computer-data-storage","display_name":"Computer data storage","score":0.4790041148662567},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4603893458843231},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4345484673976898},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.4322042763233185},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2700316905975342},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.20303112268447876}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7507485747337341},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.56632000207901},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.5094946026802063},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5036570429801941},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4875302016735077},{"id":"https://openalex.org/C194739806","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Computer data storage","level":2,"score":0.4790041148662567},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4603893458843231},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4345484673976898},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.4322042763233185},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2700316905975342},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.20303112268447876},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata55660.2022.10020706","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/bigdata55660.2022.10020706","pdf_url":null,"source":{"id":"https://openalex.org/S4363607709","display_name":"2022 IEEE International Conference on Big Data (Big Data)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Big Data (Big Data)","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":6,"referenced_works":["https://openalex.org/W2016287239","https://openalex.org/W2120992022","https://openalex.org/W2153747580","https://openalex.org/W2542430934","https://openalex.org/W3120636638","https://openalex.org/W4207012525"],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W2381986121","https://openalex.org/W2370918718","https://openalex.org/W4389473457","https://openalex.org/W2256933480","https://openalex.org/W2370081953","https://openalex.org/W2027854990","https://openalex.org/W4282583532"],"abstract_inverted_index":{"Capacity":[0],"forecasting":[1,23],"is":[2],"a":[3,54,69],"common":[4],"feature":[5],"in":[6],"popular":[7,78],"storage":[8,11,40,64,82],"systems.":[9],"The":[10],"system":[12],"vendors":[13],"use":[14],"prediction":[15,55,105],"methods":[16,31],"based":[17,57],"on":[18,58],"the":[19,39,45,50,59,77,81,93,100,104],"historical":[20,46],"usage":[21,41],"for":[22],"future":[24],"utilization.":[25],"However,":[26],"we":[27,52],"observed":[28,61],"that":[29,98],"such":[30],"do":[32],"not":[33,43],"perform":[34],"well":[35],"under":[36],"situations":[37],"when":[38],"may":[42],"follow":[44],"trend.":[47],"To":[48],"address":[49],"problem,":[51],"propose":[53],"method":[56],"data":[60,102],"over":[62,109],"18,000":[63],"system.":[65],"An":[66],"analysis":[67],"of":[68,87],"large":[70],"scale":[71],"dataset":[72],"allows":[73],"us":[74],"to":[75],"identify":[76],"trends":[79],"across":[80],"systems":[83],"at":[84],"various":[85],"stages":[86],"their":[88],"lifecycle":[89],"and":[90],"further":[91],"improve":[92],"prediction.":[94],"Our":[95],"evaluation":[96],"shows":[97],"using":[99],"population":[101],"reduces":[103],"error":[106],"by":[107],"45%":[108],"linear":[110],"regression.":[111]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
