{"id":"https://openalex.org/W2982167413","doi":"https://doi.org/10.1109/tbdata.2019.2948338","title":"d-Simplexed: Adaptive Delaunay Triangulation for Performance Modeling and Prediction on Big Data Analytics","display_name":"d-Simplexed: Adaptive Delaunay Triangulation for Performance Modeling and Prediction on Big Data Analytics","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2982167413","doi":"https://doi.org/10.1109/tbdata.2019.2948338","mag":"2982167413"},"language":"en","primary_location":{"id":"doi:10.1109/tbdata.2019.2948338","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tbdata.2019.2948338","pdf_url":"https://ieeexplore.ieee.org/ielx7/6687317/7153538/08878273.pdf","source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://ieeexplore.ieee.org/ielx7/6687317/7153538/08878273.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101526503","display_name":"Yuxing Chen","orcid":"https://orcid.org/0000-0002-6220-2535"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Yuxing Chen","raw_affiliation_strings":["Department of Computer Science, University of Helsinki, Helsinki, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070244352","display_name":"Peter Goetsch","orcid":null},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Peter Goetsch","raw_affiliation_strings":["Department of Computer Science, University of Helsinki, Helsinki, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042182456","display_name":"Mohammad A. Hoque","orcid":"https://orcid.org/0000-0002-7169-923X"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Mohammad A. Hoque","raw_affiliation_strings":["Department of Computer Science, University of Helsinki, Helsinki, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018627557","display_name":"Jiaheng Lu","orcid":"https://orcid.org/0000-0003-2067-454X"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Jiaheng Lu","raw_affiliation_strings":["Department of Computer Science, University of Helsinki, Helsinki, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5054443906","display_name":"Sasu Tarkoma","orcid":"https://orcid.org/0000-0003-4220-3650"},"institutions":[{"id":"https://openalex.org/I133731052","display_name":"University of Helsinki","ror":"https://ror.org/040af2s02","country_code":"FI","type":"education","lineage":["https://openalex.org/I133731052"]}],"countries":["FI"],"is_corresponding":false,"raw_author_name":"Sasu Tarkoma","raw_affiliation_strings":["Department of Computer Science, University of Helsinki, Helsinki, Finland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Helsinki, Helsinki, Finland","institution_ids":["https://openalex.org/I133731052"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I133731052"],"apc_list":null,"apc_paid":null,"fwci":1.3895,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.8550899,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"1"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9980000257492065,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9944000244140625,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9890000224113464,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/computer-science","display_name":"Computer science","score":0.7758951187133789},{"id":"https://openalex.org/keywords/delaunay-triangulation","display_name":"Delaunay triangulation","score":0.7499276399612427},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.6583037972450256},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.5843425393104553},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.49701979756355286},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.48799625039100647},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.4790247976779938},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.46415242552757263},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.4251965880393982},{"id":"https://openalex.org/keywords/triangulation","display_name":"Triangulation","score":0.4173637926578522},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3999224305152893},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3929615914821625},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3375988304615021},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2179867923259735},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.1752672791481018},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.14040765166282654},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.119537353515625}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7758951187133789},{"id":"https://openalex.org/C68010082","wikidata":"https://www.wikidata.org/wiki/Q192445","display_name":"Delaunay triangulation","level":2,"score":0.7499276399612427},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.6583037972450256},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.5843425393104553},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.49701979756355286},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.48799625039100647},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.4790247976779938},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.46415242552757263},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.4251965880393982},{"id":"https://openalex.org/C135981907","wikidata":"https://www.wikidata.org/wiki/Q188056","display_name":"Triangulation","level":2,"score":0.4173637926578522},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3999224305152893},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3929615914821625},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3375988304615021},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2179867923259735},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.1752672791481018},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14040765166282654},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.119537353515625},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"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/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tbdata.2019.2948338","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tbdata.2019.2948338","pdf_url":"https://ieeexplore.ieee.org/ielx7/6687317/7153538/08878273.pdf","source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Big Data","raw_type":"journal-article"},{"id":"pmh:oai:helda.helsinki.fi:10138/342213","is_oa":true,"landing_page_url":"http://hdl.handle.net/10138/342213","pdf_url":null,"source":{"id":"https://openalex.org/S4210213322","display_name":"Ty\u00f6v\u00e4entutkimus Vuosikirja","issn_l":"0784-1272","issn":["0784-1272","1459-7780"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":{"id":"doi:10.1109/tbdata.2019.2948338","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tbdata.2019.2948338","pdf_url":"https://ieeexplore.ieee.org/ielx7/6687317/7153538/08878273.pdf","source":{"id":"https://openalex.org/S2491400915","display_name":"IEEE Transactions on Big Data","issn_l":"2332-7790","issn":["2332-7790","2372-2096"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Transactions on Big Data","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G7864986337","display_name":null,"funder_award_id":"310321","funder_id":"https://openalex.org/F4320321108","funder_display_name":"Academy of Finland"}],"funders":[{"id":"https://openalex.org/F4320321108","display_name":"Academy of Finland","ror":"https://ror.org/05k73zm37"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2982167413.pdf","grobid_xml":"https://content.openalex.org/works/W2982167413.grobid-xml"},"referenced_works_count":46,"referenced_works":["https://openalex.org/W116735976","https://openalex.org/W167093911","https://openalex.org/W1502922572","https://openalex.org/W1598064945","https://openalex.org/W1663973292","https://openalex.org/W1969732712","https://openalex.org/W1983224729","https://openalex.org/W2002472616","https://openalex.org/W2038361169","https://openalex.org/W2038669746","https://openalex.org/W2074501444","https://openalex.org/W2088687427","https://openalex.org/W2102458936","https://openalex.org/W2105636195","https://openalex.org/W2105947650","https://openalex.org/W2112013978","https://openalex.org/W2112474496","https://openalex.org/W2114896543","https://openalex.org/W2118566694","https://openalex.org/W2153504150","https://openalex.org/W2155072926","https://openalex.org/W2163961697","https://openalex.org/W2170997892","https://openalex.org/W2173213060","https://openalex.org/W2183981833","https://openalex.org/W2187341577","https://openalex.org/W2271840356","https://openalex.org/W2327062155","https://openalex.org/W2344593958","https://openalex.org/W2482213519","https://openalex.org/W2570373436","https://openalex.org/W2587534642","https://openalex.org/W2613206411","https://openalex.org/W2735019080","https://openalex.org/W2776147949","https://openalex.org/W2948513753","https://openalex.org/W2970836712","https://openalex.org/W2984336599","https://openalex.org/W3081274109","https://openalex.org/W3101748252","https://openalex.org/W4242136885","https://openalex.org/W4243645092","https://openalex.org/W4245119289","https://openalex.org/W6639007902","https://openalex.org/W6687322159","https://openalex.org/W6694517276"],"related_works":["https://openalex.org/W2359979928","https://openalex.org/W2368353614","https://openalex.org/W2390369954","https://openalex.org/W1529719486","https://openalex.org/W4232052003","https://openalex.org/W2373917503","https://openalex.org/W2906423005","https://openalex.org/W2385297469","https://openalex.org/W2001914902","https://openalex.org/W2353399380"],"abstract_inverted_index":{"Big":[0],"Data":[1],"processing":[2],"systems":[3],"(e.g.,":[4],"Spark)":[5],"have":[6],"a":[7,57,86,95,119,123,149],"number":[8,21,125],"of":[9,22,45,81,98,126,151,184],"resource":[10],"configuration":[11,127],"parameters,":[12],"such":[13],"as":[14,140,144],"memory":[15],"size,":[16],"CPU":[17],"allocation,":[18],"and":[19,27,41,115,157],"the":[20,34,42,46,79,113],"running":[23],"nodes.":[24],"Regular":[25],"users":[26],"even":[28],"expert":[29],"administrators":[30],"struggle":[31],"to":[32,65,84,135,138],"understand":[33],"mutual":[35],"relation":[36],"between":[37],"different":[38],"parameter":[39],"configurations":[40],"overall":[43],"performance":[44,58,67],"system.":[47],"In":[48],"this":[49,53,101],"paper,":[50],"we":[51,103,129,166],"address":[52],"challenge":[54],"by":[55,178],"proposing":[56],"prediction":[59],"framework,":[60],"called":[61],"<inline-formula><tex-math":[62,87],"notation=\"LaTeX\">$d$</tex-math></inline-formula>":[63,88],"-Simplexed,":[64],"build":[66],"models":[68],"with":[69,122],"varied":[70],"configurable":[71],"parameters":[72],"on":[73,148],"Spark.":[74],"We":[75],"take":[76],"inspiration":[77],"from":[78],"field":[80],"Computational":[82],"Geometry":[83],"construct":[85],"-dimensional":[89],"mesh":[90],"using":[91,153],"Delaunay":[92],"Triangulation":[93],"over":[94],"selected":[96],"set":[97],"features.":[99],"From":[100],"mesh,":[102],"predict":[104],"execution":[105],"time":[106,114],"for":[107,175],"various":[108],"feature":[109],"configurations.":[110],"To":[111],"minimize":[112],"resources":[116],"in":[117,160],"building":[118],"bootstrap":[120],"model":[121],"large":[124],"values,":[128],"propose":[130],"an":[131],"adaptive":[132],"sampling":[133,179],"technique":[134],"allow":[136],"us":[137],"collect":[139],"few":[141],"training":[142],"points":[143],"required.":[145],"Our":[146],"evaluation":[147],"cluster":[150],"computers":[152],"WordCount,":[154],"PageRank,":[155],"Kmeans,":[156],"Join":[158],"workloads":[159],"HiBench":[161],"benchmarking":[162],"suites":[163],"shows":[164],"that":[165],"can":[167],"achieve":[168],"less":[169,180],"than":[170,181],"5":[171],"percent":[172,183],"error":[173],"rate":[174],"estimation":[176],"accuracy":[177],"1":[182],"data.":[185]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
