{"id":"https://openalex.org/W4362505396","doi":"https://doi.org/10.1145/3578245.3584694","title":"Identification and Classification of JMH Microbenchmark States using Time Series Analysis","display_name":"Identification and Classification of JMH Microbenchmark States using Time Series Analysis","publication_year":2023,"publication_date":"2023-04-03","ids":{"openalex":"https://openalex.org/W4362505396","doi":"https://doi.org/10.1145/3578245.3584694"},"language":"en","primary_location":{"id":"doi:10.1145/3578245.3584694","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3578245.3584694","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3578245.3584694","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3578245.3584694","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031145084","display_name":"Tom Wallace","orcid":"https://orcid.org/0000-0001-8936-3163"},"institutions":[{"id":"https://openalex.org/I186803428","display_name":"Brock University","ror":"https://ror.org/056am2717","country_code":"CA","type":"education","lineage":["https://openalex.org/I186803428"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tom Wallace","raw_affiliation_strings":["Brock University, St. Catharines, Canada"],"raw_orcid":"https://orcid.org/0000-0001-8936-3163","affiliations":[{"raw_affiliation_string":"Brock University, St. Catharines, Canada","institution_ids":["https://openalex.org/I186803428"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005525160","display_name":"Beatrice Ombuki-Berman","orcid":"https://orcid.org/0000-0002-7296-9510"},"institutions":[{"id":"https://openalex.org/I186803428","display_name":"Brock University","ror":"https://ror.org/056am2717","country_code":"CA","type":"education","lineage":["https://openalex.org/I186803428"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Beatrice Ombuki-Berman","raw_affiliation_strings":["Brock University, St. Catharines, Canada"],"raw_orcid":"https://orcid.org/0000-0002-7296-9510","affiliations":[{"raw_affiliation_string":"Brock University, St. Catharines, Canada","institution_ids":["https://openalex.org/I186803428"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019537475","display_name":"Naser Ezzati\u2010Jivan","orcid":"https://orcid.org/0000-0003-1435-6297"},"institutions":[{"id":"https://openalex.org/I186803428","display_name":"Brock University","ror":"https://ror.org/056am2717","country_code":"CA","type":"education","lineage":["https://openalex.org/I186803428"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Naser Ezzati-Jivan","raw_affiliation_strings":["Brock University, St. Catharines, Canada"],"raw_orcid":"https://orcid.org/0000-0003-1435-6297","affiliations":[{"raw_affiliation_string":"Brock University, St. Catharines, Canada","institution_ids":["https://openalex.org/I186803428"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I186803428"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.02052705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"101","last_page":"105"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9968000054359436,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9926000237464905,"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/T10558","display_name":"Advancements in Semiconductor Devices and Circuit Design","score":0.9810000061988831,"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/benchmark","display_name":"Benchmark (surveying)","score":0.898418128490448},{"id":"https://openalex.org/keywords/steady-state","display_name":"Steady state (chemistry)","score":0.6568177938461304},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6246187090873718},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.617981493473053},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.5871404409408569},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5699936151504517},{"id":"https://openalex.org/keywords/matrix","display_name":"Matrix (chemical analysis)","score":0.5574719309806824},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4889029562473297},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4814859628677368},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47112011909484863},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33209356665611267},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.232439786195755}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.898418128490448},{"id":"https://openalex.org/C8171440","wikidata":"https://www.wikidata.org/wiki/Q903414","display_name":"Steady state (chemistry)","level":2,"score":0.6568177938461304},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6246187090873718},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.617981493473053},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.5871404409408569},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5699936151504517},{"id":"https://openalex.org/C106487976","wikidata":"https://www.wikidata.org/wiki/Q685816","display_name":"Matrix (chemical analysis)","level":2,"score":0.5574719309806824},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4889029562473297},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4814859628677368},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47112011909484863},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33209356665611267},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.232439786195755},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C147789679","wikidata":"https://www.wikidata.org/wiki/Q11372","display_name":"Physical chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3578245.3584694","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3578245.3584694","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3578245.3584694","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3578245.3584694","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3578245.3584694","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3578245.3584694","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion of the 2023 ACM/SPEC International Conference on Performance Engineering","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4362505396.pdf","grobid_xml":"https://content.openalex.org/works/W4362505396.grobid-xml"},"referenced_works_count":6,"referenced_works":["https://openalex.org/W1975684011","https://openalex.org/W2259042472","https://openalex.org/W2584499795","https://openalex.org/W2909693411","https://openalex.org/W2963440486","https://openalex.org/W3123858332"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W972276598","https://openalex.org/W4246352526","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W2119012848","https://openalex.org/W1990205660"],"abstract_inverted_index":{"The":[0],"practice":[1],"of":[2,11,37,81,94,125],"microbenchmarking":[3],"is":[4,27,56,73,120],"very":[5],"important":[6],"for":[7],"observing":[8,15],"the":[9,16,22,35,38,68,79,82,95,100,114,117],"performance":[10],"code.":[12],"As":[13],"such,":[14],"states":[17],"and":[18,87,99],"anomalies":[19],"experienced":[20],"by":[21],"program":[23],"during":[24],"a":[25,57,74,110],"benchmark":[26,118],"equally":[28],"important.":[29],"This":[30],"paper":[31],"attempts":[32],"to":[33,44,52,60,108],"evaluate":[34],"effectiveness":[36],"matrix":[39,69,96],"profile":[40,70,97],"method":[41,98],"when":[42,66,116],"applied":[43],"analyse":[45],"JMH":[46],"benchmarks":[47],"in":[48],"time":[49],"series":[50],"format,":[51],"determine":[53],"if":[54],"it":[55],"viable":[58],"alternative":[59],"proven":[61,101],"methods.":[62],"We":[63],"observe":[64],"that,":[65],"using":[67],"method,":[71,104],"there":[72],"statistically":[75],"significant":[76],"difference":[77],"between":[78,113],"results":[80,93],"analysis":[83,103],"on":[84],"steady":[85,126],"state":[86,89,122],"non-steady":[88,121],"benchmarks.":[90],"By":[91],"comparing":[92],"changepoint":[102],"we":[105],"are":[106],"able":[107],"prove":[109],"stronger":[111],"correlation":[112],"two":[115],"tested":[119],"versus":[123],"that":[124],"state.":[127]},"counts_by_year":[],"updated_date":"2026-07-31T08:31:51.225901","created_date":"2025-10-10T00:00:00"}