{"id":"https://openalex.org/W4385562465","doi":"https://doi.org/10.1145/3580305.3599396","title":"IPOC: An Adaptive Interval Prediction Model based on Online Chasing and Conformal Inference for Large-Scale Systems","display_name":"IPOC: An Adaptive Interval Prediction Model based on Online Chasing and Conformal Inference for Large-Scale Systems","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385562465","doi":"https://doi.org/10.1145/3580305.3599396"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599396","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","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/A5101962606","display_name":"Jiadong Chen","orcid":"https://orcid.org/0009-0002-6857-9648"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jiadong Chen","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103165507","display_name":"Yang Luo","orcid":"https://orcid.org/0009-0005-7617-6760"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Luo","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035676193","display_name":"Xiuqi Huang","orcid":"https://orcid.org/0009-0004-4443-1555"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiuqi Huang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017729995","display_name":"Fuxin Jiang","orcid":"https://orcid.org/0000-0002-7522-061X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fuxin Jiang","raw_affiliation_strings":["Bytedance Inc., Beijing, China"],"affiliations":[{"raw_affiliation_string":"Bytedance Inc., Beijing, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103078568","display_name":"Yangguang Shi","orcid":"https://orcid.org/0000-0003-2923-2748"},"institutions":[{"id":"https://openalex.org/I154099455","display_name":"Shandong University","ror":"https://ror.org/0207yh398","country_code":"CN","type":"education","lineage":["https://openalex.org/I154099455"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yangguang Shi","raw_affiliation_strings":["Shandong University, Qingdao, China"],"affiliations":[{"raw_affiliation_string":"Shandong University, Qingdao, China","institution_ids":["https://openalex.org/I154099455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101487889","display_name":"Tieying Zhang","orcid":"https://orcid.org/0009-0003-2250-5528"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tieying Zhang","raw_affiliation_strings":["Bytedance Inc., San Jose, CA, USA"],"affiliations":[{"raw_affiliation_string":"Bytedance Inc., San Jose, CA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019439900","display_name":"Xiaofeng Gao","orcid":"https://orcid.org/0000-0003-1776-8799"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Gao","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101962606"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.5219,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71230442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"202","last_page":"212"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":1.0,"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/T12761","display_name":"Data Stream Mining Techniques","score":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9962999820709229,"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":0.9939000010490417,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8004621267318726},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.5449622273445129},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.44825291633605957},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.444368839263916},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.43593108654022217},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4355354905128479},{"id":"https://openalex.org/keywords/nondeterministic-algorithm","display_name":"Nondeterministic algorithm","score":0.4312293231487274},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.39765697717666626},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.32718461751937866},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22963792085647583}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8004621267318726},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.5449622273445129},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.44825291633605957},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.444368839263916},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.43593108654022217},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4355354905128479},{"id":"https://openalex.org/C176181172","wikidata":"https://www.wikidata.org/wiki/Q3490301","display_name":"Nondeterministic algorithm","level":2,"score":0.4312293231487274},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.39765697717666626},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.32718461751937866},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22963792085647583},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599396","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599396","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.7599999904632568}],"awards":[{"id":"https://openalex.org/G1121271761","display_name":null,"funder_award_id":"Program","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G204966586","display_name":null,"funder_award_id":"32000243","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2802911279","display_name":null,"funder_award_id":"Young","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G301226467","display_name":null,"funder_award_id":"62172276","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3809116377","display_name":null,"funder_award_id":"62272302","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G391238517","display_name":null,"funder_award_id":", and","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020255992","display_name":null,"funder_award_id":"Project","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5939423041","display_name":null,"funder_award_id":"Technology","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6769090810","display_name":null,"funder_award_id":"2020YFB1707900","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8721642152","display_name":null,"funder_award_id":"2021SHZDZX0102","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8955107213","display_name":null,"funder_award_id":"Major","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1984255960","https://openalex.org/W1988790447","https://openalex.org/W1994005439","https://openalex.org/W2056132907","https://openalex.org/W2064675550","https://openalex.org/W2085866051","https://openalex.org/W2099419573","https://openalex.org/W2110485445","https://openalex.org/W2137226992","https://openalex.org/W2169401877","https://openalex.org/W2295598076","https://openalex.org/W2747599906","https://openalex.org/W2769008494","https://openalex.org/W2780958346","https://openalex.org/W2797846142","https://openalex.org/W2809162153","https://openalex.org/W2883806129","https://openalex.org/W2909973217","https://openalex.org/W2936788460","https://openalex.org/W2954336367","https://openalex.org/W2980994438","https://openalex.org/W2997476292","https://openalex.org/W3011590044","https://openalex.org/W3035201878","https://openalex.org/W3037759945","https://openalex.org/W3105755170","https://openalex.org/W3107968240","https://openalex.org/W3159243351","https://openalex.org/W3163796971","https://openalex.org/W3171884590","https://openalex.org/W3172668605","https://openalex.org/W4212883601","https://openalex.org/W4226427252","https://openalex.org/W4283807683","https://openalex.org/W4287162606","https://openalex.org/W4288373770","https://openalex.org/W4297778743","https://openalex.org/W4310895557","https://openalex.org/W4389138872","https://openalex.org/W6680532697"],"related_works":["https://openalex.org/W184826316","https://openalex.org/W2073713056","https://openalex.org/W3132573772","https://openalex.org/W3110702597","https://openalex.org/W1576777252","https://openalex.org/W2145906386","https://openalex.org/W1862457258","https://openalex.org/W187740018","https://openalex.org/W2162286586","https://openalex.org/W4255368532"],"abstract_inverted_index":{"In":[0,18],"large-scale":[1],"systems,":[2],"due":[3],"to":[4,33,71,148,156],"system":[5],"complexity":[6],"and":[7,11,29,52,67,91,119],"demand":[8],"volatility,":[9],"diverse":[10],"dynamic":[12,46],"workloads":[13],"make":[14],"accurate":[15,106],"predictions":[16],"difficult.":[17],"this":[19],"work,":[20],"we":[21,62,126,144],"address":[22],"an":[23],"online":[24,58,154],"interval":[25,123],"prediction":[26,159],"problem":[27],"(OnPred-Int)":[28],"adopt":[30],"ensemble":[31,40],"learning":[32,41,59,155],"solve":[34],"it.":[35],"We":[36],"depict":[37],"that":[38],"the":[39,77,139,146,150],"for":[42,94],"OnPred-Int":[43],"is":[44],"a":[45,56,65,88,97],"deterministic":[47],"Markov":[48],"Decision":[49],"Process":[50],"(Dd-MDP)":[51],"convert":[53],"it":[54,95],"into":[55],"stateful":[57],"task.":[60],"Then":[61],"propose":[63],"IPOC,":[64],"lightweight":[66],"flexible":[68],"model":[69,90],"able":[70],"produce":[72],"effective":[73],"confidence":[74,107,122],"intervals,":[75],"adapting":[76],"dynamics":[78],"of":[79,111,121,141,153],"real-time":[80],"workload":[81],"streams.":[82],"At":[83],"each":[84],"time,":[85],"IPOC":[86,104],"selects":[87],"target":[89],"executes":[92],"chasing":[93,99],"by":[96],"designed":[98],"oracle,":[100],"during":[101],"which":[102],"process":[103],"produces":[105],"intervals.":[108],"The":[109],"effectiveness":[110],"IPOCis":[112],"theoretically":[113],"validated":[114],"through":[115],"sublinear":[116],"regret":[117],"analysis":[118],"satisfaction":[120],"requirements.":[124],"Besides,":[125],"conduct":[127],"extensive":[128],"experiments":[129],"on":[130],"4":[131],"real-world":[132],"datasets":[133],"comparing":[134],"with":[135],"19":[136],"baselines.":[137],"To":[138],"best":[140],"our":[142],"knowledge,":[143],"are":[145],"first":[147],"apply":[149],"frontier":[151],"theory":[152],"time":[157],"series":[158],"tasks.":[160]},"counts_by_year":[{"year":2024,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}