{"id":"https://openalex.org/W4312300074","doi":"https://doi.org/10.1109/ickii55100.2022.9983580","title":"Computing Resource Optimization for a Log Monitoring System","display_name":"Computing Resource Optimization for a Log Monitoring System","publication_year":2022,"publication_date":"2022-07-22","ids":{"openalex":"https://openalex.org/W4312300074","doi":"https://doi.org/10.1109/ickii55100.2022.9983580"},"language":"en","primary_location":{"id":"doi:10.1109/ickii55100.2022.9983580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ickii55100.2022.9983580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII )","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/A5036553976","display_name":"Thanin Srithai","orcid":null},"institutions":[{"id":"https://openalex.org/I60837268","display_name":"King Mongkut's University of Technology Thonburi","ror":"https://ror.org/0057ax056","country_code":"TH","type":"education","lineage":["https://openalex.org/I60837268"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Thanin Srithai","raw_affiliation_strings":["King Mongkut&#x2019;s University of Technology Thonburi,Department of Computer Engineering,Bangkok,Thailand"],"affiliations":[{"raw_affiliation_string":"King Mongkut&#x2019;s University of Technology Thonburi,Department of Computer Engineering,Bangkok,Thailand","institution_ids":["https://openalex.org/I60837268"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073935326","display_name":"V. Chibante Barroso","orcid":"https://orcid.org/0000-0001-6837-3362"},"institutions":[{"id":"https://openalex.org/I67311998","display_name":"European Organization for Nuclear Research","ror":"https://ror.org/01ggx4157","country_code":"CH","type":"facility","lineage":["https://openalex.org/I67311998"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Vasco Chibante Barroso","raw_affiliation_strings":["European Organization for Nuclear Research (CERN),Geneva,Switzerland,23"],"affiliations":[{"raw_affiliation_string":"European Organization for Nuclear Research (CERN),Geneva,Switzerland,23","institution_ids":["https://openalex.org/I67311998"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057571116","display_name":"Phond Phunchongharn","orcid":"https://orcid.org/0000-0002-6352-4069"},"institutions":[{"id":"https://openalex.org/I60837268","display_name":"King Mongkut's University of Technology Thonburi","ror":"https://ror.org/0057ax056","country_code":"TH","type":"education","lineage":["https://openalex.org/I60837268"]}],"countries":["TH"],"is_corresponding":false,"raw_author_name":"Phond Phunchongharn","raw_affiliation_strings":["King Mongkut&#x2019;s University of Technology Thonburi,Department of Computer Engineering,Bangkok,Thailand"],"affiliations":[{"raw_affiliation_string":"King Mongkut&#x2019;s University of Technology Thonburi,Department of Computer Engineering,Bangkok,Thailand","institution_ids":["https://openalex.org/I60837268"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036553976"],"corresponding_institution_ids":["https://openalex.org/I60837268"],"apc_list":null,"apc_paid":null,"fwci":0.2652,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.62529426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"99","last_page":"102"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9911999702453613,"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"}},"topics":[{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9911999702453613,"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9879999756813049,"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"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9872999787330627,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6876860857009888},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6462088823318481},{"id":"https://openalex.org/keywords/bayesian-optimization","display_name":"Bayesian optimization","score":0.6198457479476929},{"id":"https://openalex.org/keywords/large-hadron-collider","display_name":"Large Hadron Collider","score":0.5629943609237671},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.49151262640953064},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4779912829399109},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4239575266838074},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.19094142317771912},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13524043560028076},{"id":"https://openalex.org/keywords/particle-physics","display_name":"Particle physics","score":0.11936533451080322}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6876860857009888},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6462088823318481},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.6198457479476929},{"id":"https://openalex.org/C87668248","wikidata":"https://www.wikidata.org/wiki/Q40605","display_name":"Large Hadron Collider","level":2,"score":0.5629943609237671},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.49151262640953064},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4779912829399109},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4239575266838074},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.19094142317771912},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13524043560028076},{"id":"https://openalex.org/C109214941","wikidata":"https://www.wikidata.org/wiki/Q18334","display_name":"Particle physics","level":1,"score":0.11936533451080322},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ickii55100.2022.9983580","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ickii55100.2022.9983580","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 5th International Conference on Knowledge Innovation and Invention (ICKII )","raw_type":"proceedings-article"},{"id":"pmh:oai:cds.cern.ch:2846164","is_oa":false,"landing_page_url":"http://cds.cern.ch/record/2846164","pdf_url":null,"source":{"id":"https://openalex.org/S4306402195","display_name":"CERN Document Server (European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":""}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2099201756","https://openalex.org/W2099679938","https://openalex.org/W4289761856","https://openalex.org/W6675172942","https://openalex.org/W6675200109","https://openalex.org/W6753146606","https://openalex.org/W6944392978"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W4401858220"],"abstract_inverted_index":{"A":[0],"Large":[1,8],"Ion":[2],"Collider":[3,10],"Experiment":[4],"(ALICE)":[5],"at":[6],"the":[7,13,28,31,42,73,78,85,103,112,142,168,176,180,184,187,202,219,248],"Hadron":[9],"(LHC)":[11],"in":[12,244],"European":[14],"Organization":[15],"for":[16,54,72,88,123,209,258],"Nuclear":[17],"Research":[18],"(CERN)":[19],"laboratory":[20],"was":[21,63],"built":[22],"to":[23,56,83,110,141,160,222,246],"study":[24],"heavy-ion":[25],"collisions":[26],"and":[27,36,69,93,137,229,238,265],"properties":[29],"of":[30,41,48,77,102,135,218,234],"quark-gluon":[32],"plasma.":[33],"The":[34,115,152,195,232],"Online":[35],"Offline":[37],"(O2)":[38],"software":[39],"systems":[40],"experiment":[43],"generate":[44],"a":[45,58,66,120,133,150,157,162,192],"huge":[46],"amount":[47],"log":[49,67],"data":[50],"that":[51,165,198],"is":[52,81,119,127,147],"used":[53],"monitoring":[55,74],"detect":[57],"potential":[59,121],"system":[60,255],"failure.":[61],"Elasticsearch":[62,89],"selected":[64],"as":[65,149],"storage":[68],"search":[70,104,117,257],"engine":[71],"system.":[75],"One":[76],"main":[79],"problems":[80],"how":[82],"allocate":[84],"computing":[86,138,206,261],"resources":[87],"while":[90,174,213],"minimizing":[91,172],"cost":[92,173],"satisfying":[94,175],"performance":[95,177],"thresholds,":[96],"i.e.,":[97,171],"throughput).":[98],"Moreover,":[99],"lacking":[100],"knowledge":[101],"engine's":[105],"behavior":[106],"makes":[107],"it":[108,126,131],"difficult":[109],"find":[111,247],"best":[113,249],"configuration.":[114],"exhaustive":[116,226],"method":[118,154,181],"approach":[122],"solving.":[124],"However,":[125],"not":[128],"practical":[129],"since":[130],"consumes":[132],"lot":[134],"time":[136],"resources.":[139],"Due":[140],"limited":[143],"resources,":[144],"Bayesian":[145,153,199],"optimization":[146,200],"applied":[148],"solution.":[151,250],"requires":[155],"only":[156,183,215],"few":[158],"samples":[159],"create":[161],"surrogate":[163],"function":[164],"roughly":[166],"represents":[167],"objective":[169],"function,":[170],"needs.":[178],"Then,":[179],"explores":[182],"area":[185],"where":[186],"optimal":[188,203,260],"solution":[189],"exists":[190],"with":[191],"high":[193],"probability.":[194],"results":[196],"show":[197],"provides":[201],"or":[204],"near-optimal":[205],"resource":[207,262],"configuration":[208,263],"given":[210],"benchmark":[211],"experiments":[212],"requiring":[214],"about":[216],"half":[217],"evaluations":[220],"compared":[221],"other":[223],"methods,":[224],"e.g.,":[225],"search,":[227],"regression,":[228],"machine":[230],"learning.":[231],"impact":[233],"several":[235],"acquisition":[236],"functions":[237],"initial":[239],"sample":[240],"generators":[241],"were":[242],"studied":[243],"order":[245],"These":[251],"insights":[252],"can":[253],"help":[254],"operators":[256],"an":[259],"quickly":[264],"efficiently.":[266]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
