{"id":"https://openalex.org/W3201143007","doi":"https://doi.org/10.1109/ase51524.2021.9678534","title":"AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems","display_name":"AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems","publication_year":2021,"publication_date":"2021-11-01","ids":{"openalex":"https://openalex.org/W3201143007","doi":"https://doi.org/10.1109/ase51524.2021.9678534","mag":"3201143007"},"language":"en","primary_location":{"id":"doi:10.1109/ase51524.2021.9678534","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ase51524.2021.9678534","pdf_url":null,"source":{"id":"https://openalex.org/S4363608212","display_name":"2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)","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/A5030698062","display_name":"Tianyi Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianyi Yang","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101867257","display_name":"Jiacheng Shen","orcid":"https://orcid.org/0009-0000-2855-2403"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiacheng Shen","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101500798","display_name":"Yuxin Su","orcid":"https://orcid.org/0000-0002-3338-8561"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxin Su","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011629374","display_name":"Xiao Ling","orcid":"https://orcid.org/0000-0001-5890-0691"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiao Ling","raw_affiliation_strings":["Computing and Networking Innovation Lab, Cloud BU, Huawei"],"affiliations":[{"raw_affiliation_string":"Computing and Networking Innovation Lab, Cloud BU, Huawei","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049498035","display_name":"Yongqiang Yang","orcid":"https://orcid.org/0000-0001-9733-4346"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongqiang Yang","raw_affiliation_strings":["Computing and Networking Innovation Lab, Cloud BU, Huawei"],"affiliations":[{"raw_affiliation_string":"Computing and Networking Innovation Lab, Cloud BU, Huawei","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069596903","display_name":"Michael R. Lyu","orcid":"https://orcid.org/0000-0002-3666-5798"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Michael R. Lyu","raw_affiliation_strings":["The Chinese University of Hong Kong, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5030698062"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":null,"apc_paid":null,"fwci":5.236,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.97337646,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"653","last_page":"665"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9997000098228455,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9961000084877014,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9961000084877014,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.8778574466705322},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7666732668876648},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.6869404911994934},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.5389874577522278},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5353007912635803},{"id":"https://openalex.org/keywords/service-provider","display_name":"Service provider","score":0.4760075509548187},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.4669184684753418},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.45005181431770325},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.449124813079834},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4196586608886719},{"id":"https://openalex.org/keywords/tracing","display_name":"Tracing","score":0.4170973300933838},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.24867922067642212}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8778574466705322},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7666732668876648},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.6869404911994934},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.5389874577522278},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5353007912635803},{"id":"https://openalex.org/C116537","wikidata":"https://www.wikidata.org/wiki/Q2169973","display_name":"Service provider","level":3,"score":0.4760075509548187},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.4669184684753418},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.45005181431770325},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.449124813079834},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4196586608886719},{"id":"https://openalex.org/C138673069","wikidata":"https://www.wikidata.org/wiki/Q322229","display_name":"Tracing","level":2,"score":0.4170973300933838},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24867922067642212},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ase51524.2021.9678534","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ase51524.2021.9678534","pdf_url":null,"source":{"id":"https://openalex.org/S4363608212","display_name":"2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6000000238418579}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W46959185","https://openalex.org/W116902681","https://openalex.org/W131856359","https://openalex.org/W154256836","https://openalex.org/W1243432849","https://openalex.org/W1415938757","https://openalex.org/W1537198022","https://openalex.org/W1968333364","https://openalex.org/W1995412393","https://openalex.org/W1997086281","https://openalex.org/W2028604378","https://openalex.org/W2032467893","https://openalex.org/W2091921805","https://openalex.org/W2113606713","https://openalex.org/W2128160875","https://openalex.org/W2131629857","https://openalex.org/W2142395340","https://openalex.org/W2151748186","https://openalex.org/W2171867449","https://openalex.org/W2211005179","https://openalex.org/W2322013807","https://openalex.org/W2518247105","https://openalex.org/W2532015110","https://openalex.org/W2760593728","https://openalex.org/W2762915977","https://openalex.org/W2783819403","https://openalex.org/W2808767927","https://openalex.org/W2821372324","https://openalex.org/W2903799441","https://openalex.org/W2916991452","https://openalex.org/W2930500175","https://openalex.org/W2942544869","https://openalex.org/W3003950210","https://openalex.org/W3047881323","https://openalex.org/W3127771140","https://openalex.org/W6601931766","https://openalex.org/W6604828220","https://openalex.org/W6627955765","https://openalex.org/W6628402763","https://openalex.org/W6632104034","https://openalex.org/W6649505236","https://openalex.org/W6679408652","https://openalex.org/W6685157726"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W4244478748","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W4246352526","https://openalex.org/W2121910908","https://openalex.org/W915438175"],"abstract_inverted_index":{"Service":[0],"reliability":[1],"is":[2,40],"one":[3,54],"of":[4,47,99,102,108,118,137,147,159,175,184,190,207,241,248],"the":[5,34,43,72,83,86,97,100,106,116,119,123,130,135,152,157,170,173,179,182,185,188,197,205,208,214,239,246],"key":[6],"challenges":[7],"that":[8,232],"cloud":[9,16,48,75,93,140,161,224,255],"providers":[10,94],"have":[11],"to":[12,42,69,95,133,199],"deal":[13],"with.":[14],"In":[15,78],"systems,":[17],"unplanned":[18],"service":[19,55,121,162],"failures":[20],"may":[21],"cause":[22],"severe":[23],"cascading":[24,35],"impacts":[25,36],"on":[26,57,67,213],"their":[27],"dependent":[28],"services,":[29,176],"deteriorating":[30],"customer":[31],"satisfaction.":[32],"Predicting":[33],"accurately":[37,237],"and":[38,45,85,187,222,236],"efficiently":[39,235],"critical":[41],"operation":[44],"maintenance":[46],"systems.":[49],"Existing":[50],"approaches":[51],"identify":[52],"whether":[53],"depends":[56],"another":[58],"via":[59],"distributed":[60],"tracing":[61],"but":[62],"no":[63],"prior":[64],"work":[65],"focused":[66],"discriminating":[68],"what":[70],"extent":[71],"dependency":[73,109,149],"between":[74,110,139,181],"services":[76,112],"is.":[77],"this":[79],"paper,":[80],"we":[81,127],"survey":[82],"outages":[84],"procedure":[87],"for":[88],"failure":[89],"diagnosis":[90],"in":[91,226,251],"two":[92,111],"motivate":[96],"definition":[98],"intensity":[101,107,136,206,240],"dependency.":[103,209],"We":[104,210,243],"define":[105],"as":[113,204],"how":[114],"much":[115],"status":[117,158],"callee":[120,189],"influences":[122],"caller":[124,186],"service.":[125],"Then":[126],"propose":[128],"AID,":[129],"first":[131,143],"approach":[132],"predict":[134,238],"dependencies":[138],"services.":[141],"AID":[142,154,177,195,212,233],"generates":[144],"a":[145,164,201,223,252],"set":[146],"candidate":[148,192],"pairs":[150],"from":[151,169,217],"spans.":[153,171],"then":[155],"represents":[156],"each":[160,191],"with":[163],"multivariate":[165],"time":[166],"series":[167],"aggregated":[168],"With":[172],"representation":[174],"calculates":[178],"similarities":[180,198],"statuses":[183],"pair.":[193],"Finally,":[194],"aggregates":[196],"produce":[200],"unified":[202],"value":[203],"evaluate":[211],"data":[215],"collected":[216],"an":[218],"open-source":[219],"microservice":[220],"benchmark":[221],"system":[225],"production.":[227],"The":[228],"experimental":[229],"results":[230],"show":[231],"can":[234],"dependencies.":[242],"further":[244],"demonstrate":[245],"usefulness":[247],"our":[249],"method":[250],"large-scale":[253],"commercial":[254],"system.":[256]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
