{"id":"https://openalex.org/W4391827190","doi":"https://doi.org/10.1109/tc.2024.3365937","title":"TIE: Fast Experiment-Driven ML-Based Configuration Tuning for In-Memory Data Analytics","display_name":"TIE: Fast Experiment-Driven ML-Based Configuration Tuning for In-Memory Data Analytics","publication_year":2024,"publication_date":"2024-02-14","ids":{"openalex":"https://openalex.org/W4391827190","doi":"https://doi.org/10.1109/tc.2024.3365937"},"language":"en","primary_location":{"id":"doi:10.1109/tc.2024.3365937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2024.3365937","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","1557-9956","2326-3814"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computers","raw_type":"journal-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/A5100408301","display_name":"Chao Chen","orcid":"https://orcid.org/0000-0001-6488-224X"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Chao Chen","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-6488-224X","affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055200639","display_name":"Jinhan Xin","orcid":"https://orcid.org/0000-0003-1900-7774"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinhan Xin","raw_affiliation_strings":["Shuhai Lab, Shenzhen Huawei Cloud Computing Company, Ltd., Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-1900-7774","affiliations":[{"raw_affiliation_string":"Shuhai Lab, Shenzhen Huawei Cloud Computing Company, Ltd., Shenzhen, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048614443","display_name":"Zhibin Yu","orcid":"https://orcid.org/0000-0001-8067-9612"},"institutions":[{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhibin Yu","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0001-8067-9612","affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5100408301"],"corresponding_institution_ids":["https://openalex.org/I4210145761"],"apc_list":null,"apc_paid":null,"fwci":2.984,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.91729181,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"73","issue":"5","first_page":"1233","last_page":"1247"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9983999729156494,"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":0.9983999729156494,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9936000108718872,"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/T11948","display_name":"Machine Learning in Materials Science","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials 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":0.8384840488433838},{"id":"https://openalex.org/keywords/execution-time","display_name":"Execution time","score":0.5674195885658264},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.5595598816871643},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.538185715675354},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4643422067165375},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.4230154752731323},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4049074649810791},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26949211955070496},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.25834882259368896},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.2239052653312683}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8384840488433838},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.5674195885658264},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.5595598816871643},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.538185715675354},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4643422067165375},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.4230154752731323},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4049074649810791},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26949211955070496},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25834882259368896},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.2239052653312683}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tc.2024.3365937","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tc.2024.3365937","pdf_url":null,"source":{"id":"https://openalex.org/S157670870","display_name":"IEEE Transactions on Computers","issn_l":"0018-9340","issn":["0018-9340","1557-9956","2326-3814"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4516071681","display_name":null,"funder_award_id":"62372442","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W41554520","https://openalex.org/W2023953679","https://openalex.org/W2058340614","https://openalex.org/W2173213060","https://openalex.org/W2192203593","https://openalex.org/W2542459869","https://openalex.org/W2615179483","https://openalex.org/W2735019080","https://openalex.org/W2756970668","https://openalex.org/W2760770811","https://openalex.org/W2762397184","https://openalex.org/W2792529086","https://openalex.org/W2894172627","https://openalex.org/W2948513753","https://openalex.org/W2953169926","https://openalex.org/W2963745734","https://openalex.org/W2970851599","https://openalex.org/W2984336599","https://openalex.org/W3022630129","https://openalex.org/W3098844916","https://openalex.org/W3165341913","https://openalex.org/W3194356985","https://openalex.org/W4211049957","https://openalex.org/W4226290930","https://openalex.org/W4243645092","https://openalex.org/W4293731856","https://openalex.org/W4316252353","https://openalex.org/W4381614296","https://openalex.org/W6679815717","https://openalex.org/W6687322159","https://openalex.org/W6735916004","https://openalex.org/W6753531611","https://openalex.org/W6755923984","https://openalex.org/W6766212498","https://openalex.org/W6781134303"],"related_works":["https://openalex.org/W1975949872","https://openalex.org/W3159871278","https://openalex.org/W2230552005","https://openalex.org/W2905242764","https://openalex.org/W4391094140","https://openalex.org/W3109411864","https://openalex.org/W3017846737","https://openalex.org/W3191926225","https://openalex.org/W3195722949","https://openalex.org/W4322731236"],"abstract_inverted_index":{"Recently,":[0],"experiment-driven":[1,24,121,183],"machine-learning":[2],"(ML)":[3],"based":[4,249],"configuration":[5,41,137,156,224],"tuning":[6,262],"for":[7,134,144],"in-memory":[8,69],"data":[9,70],"analytics":[10,71],"such":[11],"as":[12,94,96,157,159,205,207],"Apache":[13,197],"Spark":[14,198],"become":[15],"popular":[16],"because":[17],"they":[18],"can":[19],"achieve":[20,114],"high":[21],"speedups.":[22],"However,":[23],"ML-based":[25,122,184],"approaches":[26,77,185],"naturally":[27],"need":[28],"a":[29,40,43,51,60,92,145,154,170,202,208,226,234,245],"<italic":[30],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[31,85,193],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">large</i>":[32],"number":[33],"of":[34,67,132,225,233,273,296],"iterations":[35],"and":[36,46,73,228,244,267,275,288,311],"each":[37],"iteration":[38],"generates":[39],"with":[42,54,153],"probabilistic":[44],"strategy":[45],"executes":[47],"the":[48,55,65,104,109,130,135,140,174,216,222,229,261,268,283,291,297,312],"program":[49,151,227,235],"on":[50,201,256,277],"real":[52],"cluster":[53,204,210],"configuration.":[56],"It":[57],"therefore":[58],"takes":[59],"long":[61],"time":[62,105,143,166,177,263,295],"to":[63,102,107,113,117,211,220],"optimize":[64],"performance":[66],"an":[68,149],"program,":[72,146],"thereby":[74],"hinders":[75],"these":[76],"from":[78],"being":[79],"widely":[80],"used":[81,219,264],"in":[82],"practice.":[83],"<p":[84,192],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">To":[86],"address":[87],"this":[88],"issue,":[89],"we":[90,147,162],"propose":[91],"novel":[93],"well":[95,206],"simple":[97],"approach":[98,270],"dubbed":[99],"<i>Terminating-It-Early":[100],"(TIE)</i>":[101],"reduce":[103],"needed":[106],"perform":[108],"experiment":[110,150,189],"executions":[111,190],"but":[112],"speedups":[115],"similar":[116],"those":[118,240,307],"obtained":[119,236,241],"by":[120,237,242,265,271,301,309],"approaches.":[123],"The":[124,251],"key":[125],"idea":[126],"is":[127,167,303],"that,":[128],"during":[129],"process":[131],"searching":[133],"optimal":[136,223],"which":[138],"produces":[139],"shortest":[141,175],"execution":[142,152,165,176,231,294],"<i>terminate</i>":[148],"trial":[155],"soon":[158],"possible":[160],"when":[161],"find":[163,221],"its":[164],"<i>longer":[168],"than":[169,306],"predefined":[171],"threshold</i>":[172],"(e.g.,":[173],"thus":[178],"far).":[179],"In":[180],"contrast,":[181],"traditional":[182],"always":[186],"run":[187],"all":[188],"completely.":[191],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">We":[194],"employ":[195],"19":[196,298],"programs":[199,299],"running":[200],"physical":[203,257],"virtual":[209,281],"evaluate":[212],"TIE.":[213],"We":[214],"compare":[215],"<i>tuning":[217],"time</i>":[218,232],"<i>optimized":[230],"TIE":[238,259,302],"against":[239],"<i>CherryPick</i>":[243,266,310],"reinforcement":[246],"learning":[247],"(RL)":[248],"approach.":[250,314],"experimental":[252],"results":[253],"show":[254],"that":[255],"machines,":[258,282],"reduces":[260],"RL-based":[269,313],"factors":[272,285],"2.39\u00d7":[274],"1.68\u00d7":[276],"average,":[278],"respectively.":[279],"On":[280],"corresponding":[284],"are":[286],"2.79\u00d7":[287],"1.71\u00d7.":[289],"Moreover,":[290],"average":[292],"optimized":[293],"tuned":[300,308],"slightly":[304],"shorter":[305]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}