{"id":"https://openalex.org/W2782907311","doi":"https://doi.org/10.23919/cnsm.2017.8256031","title":"Arena: Adaptive real-time update anomaly prediction in cloud systems","display_name":"Arena: Adaptive real-time update anomaly prediction in cloud systems","publication_year":2017,"publication_date":"2017-11-01","ids":{"openalex":"https://openalex.org/W2782907311","doi":"https://doi.org/10.23919/cnsm.2017.8256031","mag":"2782907311"},"language":"en","primary_location":{"id":"doi:10.23919/cnsm.2017.8256031","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cnsm.2017.8256031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Network and Service Management (CNSM)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5061624006","display_name":"Shaohan Huang","orcid":"https://orcid.org/0000-0003-4324-6337"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN","US"],"is_corresponding":false,"raw_author_name":"Shaohan Huang","raw_affiliation_strings":["Carnegie mellon University, Pittsburgh, PA, USA","Sino-German Joint Software Institute, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Carnegie mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]},{"raw_affiliation_string":"Sino-German Joint Software Institute, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001203568","display_name":"Carol Fung","orcid":"https://orcid.org/0000-0001-5726-4371"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Carol Fung","raw_affiliation_strings":["Sino-German Joint Software Institute, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sino-German Joint Software Institute, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100353377","display_name":"Chang Liu","orcid":"https://orcid.org/0000-0003-4959-7541"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chang Liu","raw_affiliation_strings":["Sino-German Joint Software Institute, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sino-German Joint Software Institute, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106417427","display_name":"Shupeng Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shupeng Zhang","raw_affiliation_strings":["Sino-German Joint Software Institute, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sino-German Joint Software Institute, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112631394","display_name":"Guang Hui Wei","orcid":"https://orcid.org/0000-0002-9034-8443"},"institutions":[{"id":"https://openalex.org/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Wei","raw_affiliation_strings":["Sino-German Joint Software Institute, Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sino-German Joint Software Institute, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074183877","display_name":"Zhongzhi Luan","orcid":"https://orcid.org/0000-0002-7186-0556"},"institutions":[{"id":"https://openalex.org/I184840846","display_name":"Virginia Commonwealth University","ror":"https://ror.org/02nkdxk79","country_code":"US","type":"education","lineage":["https://openalex.org/I184840846"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhongzhi Luan","raw_affiliation_strings":["Computer Science Department, Virginia Commonwealth University, Richmond, Virginia, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science Department, Virginia Commonwealth University, Richmond, Virginia, USA","institution_ids":["https://openalex.org/I184840846"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079362609","display_name":"Depei Qian","orcid":"https://orcid.org/0000-0002-5382-1473"},"institutions":[{"id":"https://openalex.org/I4210113369","display_name":"Microsoft Research Asia (China)","ror":"https://ror.org/0300m5276","country_code":"CN","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210113369"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Depei Qian","raw_affiliation_strings":["Microsoft Research, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft Research, Beijing, China","institution_ids":["https://openalex.org/I4210113369"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.9993000030517578,"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":0.9993000030517578,"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":0.9991999864578247,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9977999925613403,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/anomaly-detection","display_name":"Anomaly detection","score":0.8355008363723755},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.781783938407898},{"id":"https://openalex.org/keywords/pruning","display_name":"Pruning","score":0.6982072591781616},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6668608784675598},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.617323637008667},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6130752563476562},{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.5491341948509216},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5052831768989563},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47186893224716187},{"id":"https://openalex.org/keywords/anomaly","display_name":"Anomaly (physics)","score":0.4717070758342743},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4579325020313263},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.45032113790512085}],"concepts":[{"id":"https://openalex.org/C739882","wikidata":"https://www.wikidata.org/wiki/Q3560506","display_name":"Anomaly detection","level":2,"score":0.8355008363723755},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.781783938407898},{"id":"https://openalex.org/C108010975","wikidata":"https://www.wikidata.org/wiki/Q500094","display_name":"Pruning","level":2,"score":0.6982072591781616},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6668608784675598},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.617323637008667},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6130752563476562},{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.5491341948509216},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5052831768989563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47186893224716187},{"id":"https://openalex.org/C12997251","wikidata":"https://www.wikidata.org/wiki/Q567560","display_name":"Anomaly (physics)","level":2,"score":0.4717070758342743},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4579325020313263},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.45032113790512085},{"id":"https://openalex.org/C6557445","wikidata":"https://www.wikidata.org/wiki/Q173113","display_name":"Agronomy","level":1,"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C26873012","wikidata":"https://www.wikidata.org/wiki/Q214781","display_name":"Condensed matter physics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/cnsm.2017.8256031","is_oa":false,"landing_page_url":"https://doi.org/10.23919/cnsm.2017.8256031","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 13th International Conference on Network and Service Management (CNSM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1600438614","https://openalex.org/W1673310716","https://openalex.org/W2030888282","https://openalex.org/W2053449529","https://openalex.org/W2079862709","https://openalex.org/W2085392455","https://openalex.org/W2137576376","https://openalex.org/W2140888317","https://openalex.org/W2153802732","https://openalex.org/W2162275200","https://openalex.org/W2166859998","https://openalex.org/W2296719434","https://openalex.org/W2539171456","https://openalex.org/W6637131181"],"related_works":["https://openalex.org/W2499612753","https://openalex.org/W3111802945","https://openalex.org/W2806741695","https://openalex.org/W2946096271","https://openalex.org/W2295423552","https://openalex.org/W1598471830","https://openalex.org/W3107369729","https://openalex.org/W4290647774","https://openalex.org/W3189286258","https://openalex.org/W3207797160"],"abstract_inverted_index":{"In":[0,38,60],"current":[1],"cloud":[2,75],"systems,":[3],"their":[4],"monitoring":[5,29,114],"relies":[6],"strongly":[7],"on":[8,83],"rule-based":[9],"and":[10,92,106,124,153,197],"supervised-learning-based":[11],"detection":[12,55],"methods":[13,18,168],"for":[14,57,74],"anomaly":[15,105,141],"detection.":[16],"These":[17],"require":[19],"either":[20],"some":[21],"knowledge":[22],"provided":[23],"by":[24,111],"an":[25,65],"expert":[26],"system":[27,72,157],"or":[28,53],"data":[30,142],"to":[31,49,89,99,103,136,175],"be":[32],"labeled":[33],"as":[34],"a":[35,79,84,107,133],"training":[36],"set.":[37],"practice,":[39],"the":[40,51,101,121,126,129,145,150,154,183,192,195,199],"systems":[41],"behavior":[42],"changes":[43],"over":[44],"time.":[45],"It":[46],"is":[47],"difficult":[48],"adjust":[50],"rules":[52],"re-train":[54],"model":[56,196],"these":[58],"methods.":[59,177],"this":[61],"paper,":[62],"we":[63,131],"present":[64],"Adaptive":[66],"REal-time":[67],"update":[68,109,179],"uNsupervised":[69],"Anomaly":[70],"prediction":[71,97,122,172,184,200],"(Arena)":[73],"systems.":[76],"Arena":[77],"uses":[78],"clustering":[80,87],"technique":[81],"based":[82,156],"density":[85],"spatial":[86],"algorithm":[88],"identify":[90],"clusters":[91],"outliers.":[93],"We":[94],"propose":[95],"two":[96],"strategies":[98],"improve":[100,120,182],"ability":[102],"predict":[104],"real-time":[108],"strategy":[110,180],"adding":[112],"new":[113],"points":[115],"into":[116],"Arenas":[117],"model.":[118],"To":[119],"efficiency":[123],"reduce":[125,191],"scale":[127,193],"of":[128,158,194],"model,":[130],"adopt":[132],"pruning":[134,187],"method":[135,188],"remove":[137],"redundant":[138],"points.":[139],"The":[140,161,186],"used":[143],"in":[144],"experiments":[146],"was":[147],"collected":[148],"from":[149],"Yahoo":[151],"Lab":[152],"component":[155],"enterprise":[159],"T.":[160],"experimental":[162],"results":[163],"show":[164],"that":[165],"our":[166],"proposed":[167],"can":[169,181,189],"achieve":[170],"high":[171],"accuracy":[173],"compared":[174],"existing":[176],"Realtime":[178],"performance.":[185],"further":[190],"demonstrates":[198],"efficiency.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
