{"id":"https://openalex.org/W4298519804","doi":"https://doi.org/10.1145/3544538.3544635","title":"Low-cost clusters on big data - A systematic study","display_name":"Low-cost clusters on big data - A systematic study","publication_year":2022,"publication_date":"2022-06-01","ids":{"openalex":"https://openalex.org/W4298519804","doi":"https://doi.org/10.1145/3544538.3544635"},"language":"en","primary_location":{"id":"doi:10.1145/3544538.3544635","doi":"https://doi.org/10.1145/3544538.3544635","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3544538.3544635","pdf_url":null,"source":{"id":"https://openalex.org/S4306418294","display_name":"Euro American Conference on Telematics and Information Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Proceedings of the 11th Euro American Conference on Telematics and Information Systems","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5009984192","display_name":"Ant\u00f4nio Jos\u00e9 Alves Neto","orcid":"https://orcid.org/0000-0002-6159-6747","observed_orcids":["https://orcid.org/0000-0002-6159-6747"]},"institutions":[{"id":"https://openalex.org/I190085865","display_name":"Universidade Federal de Sergipe","ror":"https://ror.org/028ka0n85","country_code":"BR","type":"education","lineage":["https://openalex.org/I190085865"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Antonio Jose Alves Neto","raw_affiliation_strings":["Federal University of Sergipe, Sao Cristovao"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Sergipe, Sao Cristovao","institution_ids":["https://openalex.org/I190085865"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027226058","display_name":"Jos\u00e9 Apr\u00edgio Carneiro Neto","orcid":"https://orcid.org/0000-0002-4393-4917","observed_orcids":["https://orcid.org/0000-0002-4393-4917"]},"institutions":[{"id":"https://openalex.org/I4391767700","display_name":"Instituto Federal de Educa\u00e7\u00e3o, Ci\u00eancia e Tecnologia de Sergipe","ror":"https://ror.org/029ez4v67","country_code":"BR","type":"education","lineage":["https://openalex.org/I4391767700"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jose Aprigio Carneiro Neto","raw_affiliation_strings":["Federal Institute of Sergipe, Itabaiana"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal Institute of Sergipe, Itabaiana","institution_ids":["https://openalex.org/I4391767700"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035671529","display_name":"Edward David Moreno","orcid":"https://orcid.org/0000-0002-4786-9243","observed_orcids":["https://orcid.org/0000-0002-4786-9243"]},"institutions":[{"id":"https://openalex.org/I190085865","display_name":"Universidade Federal de Sergipe","ror":"https://ror.org/028ka0n85","country_code":"BR","type":"education","lineage":["https://openalex.org/I190085865"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Edward David Moreno Ordonez","raw_affiliation_strings":["Federal University of Sergipe, Sao Cristovao"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Federal University of Sergipe, Sao Cristovao","institution_ids":["https://openalex.org/I190085865"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5177,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.56425104,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.7226999998092651,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.7226999998092651,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T14280","display_name":"Big Data Technologies and Applications","score":0.11760000139474869,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.09529999643564224,"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/big-data-analytics","display_name":"big data analytics","score":0.8799999952316284},{"id":"https://openalex.org/keywords/high-performance-computing","display_name":"high-performance computing","score":0.9440000057220459},{"id":"https://openalex.org/keywords/computational-efficiency","display_name":"computational efficiency","score":0.5989999771118164},{"id":"https://openalex.org/keywords/data-science-tools","display_name":"data science tools","score":0.527999997138977}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.9113370180130005},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.7895348072052002},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.736965000629425},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.7099801301956177},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.6418111324310303},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.6148832440376282},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5901358127593994},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.5605573654174805},{"id":"https://openalex.org/C175801342","wikidata":"https://www.wikidata.org/wiki/Q1988917","display_name":"Data analysis","level":2,"score":0.42048710584640503},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.22791725397109985},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.17936736345291138},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.07710421085357666},{"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3544538.3544635","doi":"https://doi.org/10.1145/3544538.3544635","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3544538.3544635","pdf_url":null,"source":{"id":"https://openalex.org/S4306418294","display_name":"Euro American Conference on Telematics and Information Systems","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"Proceedings of the 11th Euro American Conference on Telematics and Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W4214443","https://openalex.org/W397180395","https://openalex.org/W1999798506","https://openalex.org/W2008347524","https://openalex.org/W2072668705","https://openalex.org/W2092623327","https://openalex.org/W2102846694","https://openalex.org/W2299346751","https://openalex.org/W2417221886","https://openalex.org/W2599869013","https://openalex.org/W2614593542","https://openalex.org/W2618398681","https://openalex.org/W2738999145","https://openalex.org/W2754589646","https://openalex.org/W2792493978","https://openalex.org/W2912599085","https://openalex.org/W2945931380","https://openalex.org/W2954737962","https://openalex.org/W3027911184","https://openalex.org/W3033166768","https://openalex.org/W3084694979","https://openalex.org/W3114485199","https://openalex.org/W3122289361","https://openalex.org/W3135977549","https://openalex.org/W3135998842"],"related_works":["https://openalex.org/W6941422112","https://openalex.org/W4391969644","https://openalex.org/W3190555651","https://openalex.org/W3200152379","https://openalex.org/W2075997679","https://openalex.org/W2584983941","https://openalex.org/W2336215997","https://openalex.org/W2404210955","https://openalex.org/W2987319972","https://openalex.org/W2888536367"],"abstract_inverted_index":{"The":[0],"growing":[1],"gap":[2],"between":[3],"users":[4],"and":[5,25,48,64],"the":[6,15,42],"Big":[7,45],"Data":[8,46],"analytics":[9],"requires":[10],"innovative":[11],"tools":[12],"that":[13],"address":[14],"challenges":[16],"faced":[17],"by":[18],"big":[19],"data":[20,49],"such":[21],"as":[22],"volume,":[23],"variety,":[24],"velocity.":[26],"Therefore,":[27],"it":[28],"becomes":[29],"computationally":[30],"inefficient":[31],"to":[32],"analyze":[33],"this":[34],"massive":[35],"volume":[36],"of":[37,44],"data.":[38],"Moreover,":[39],"advancements":[40],"in":[41,68],"field":[43],"applications":[47],"science":[50],"poses":[51],"additional":[52],"challenges,":[53],"where":[54],"High-Performance":[55],"Computing":[56],"(HPC)":[57],"solution":[58],"has":[59,65],"become":[60],"a":[61],"key":[62],"issue":[63],"attracted":[66],"attention":[67],"recent":[69],"years.":[70]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2022-10-02T00:00:00"}
