{"id":"https://openalex.org/W2938178214","doi":"https://doi.org/10.1109/ccis.2018.8691369","title":"Cloud Storage Behavior Analysis Using Time Series Clustering","display_name":"Cloud Storage Behavior Analysis Using Time Series Clustering","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2938178214","doi":"https://doi.org/10.1109/ccis.2018.8691369","mag":"2938178214"},"language":"en","primary_location":{"id":"doi:10.1109/ccis.2018.8691369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2018.8691369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS)","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/A5059982598","display_name":"Wentao Yao","orcid":"https://orcid.org/0000-0002-4117-941X"},"institutions":[{"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":true,"raw_author_name":"Wentao Yao","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, Beihang University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University, Beijing 100083, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109837212","display_name":"Shilong Ma","orcid":"https://orcid.org/0009-0004-4811-9657"},"institutions":[{"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":"Shilong Ma","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, Beihang University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University, Beijing 100083, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112411492","display_name":"Jianghua Lv","orcid":null},"institutions":[{"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":"Jianghua Lv","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, Beihang University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University, Beijing 100083, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100678580","display_name":"Yanfang Liu","orcid":"https://orcid.org/0009-0001-6499-3705"},"institutions":[{"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":"Yanfang Liu","raw_affiliation_strings":["State Key Laboratory of Software Development Environment, Beihang University, Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Software Development Environment, Beihang University, Beijing 100083, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059982598"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.21746337,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"90","last_page":"95"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9998000264167786,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.995199978351593,"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/T11106","display_name":"Data Management and Algorithms","score":0.9915000200271606,"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-storage","display_name":"Cloud storage","score":0.7659506797790527},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7580646872520447},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.720478892326355},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6673740148544312},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5665371417999268},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5609378814697266},{"id":"https://openalex.org/keywords/computer-data-storage","display_name":"Computer data storage","score":0.5590192079544067},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5234769582748413},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.5081171989440918},{"id":"https://openalex.org/keywords/storage-model","display_name":"Storage model","score":0.5011601448059082},{"id":"https://openalex.org/keywords/object-storage","display_name":"Object storage","score":0.4847800135612488},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.43259820342063904},{"id":"https://openalex.org/keywords/converged-storage","display_name":"Converged storage","score":0.4323297142982483},{"id":"https://openalex.org/keywords/service-provider","display_name":"Service provider","score":0.4283908009529114},{"id":"https://openalex.org/keywords/storage-efficiency","display_name":"Storage efficiency","score":0.41718268394470215},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.38850659132003784},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3729090094566345},{"id":"https://openalex.org/keywords/information-repository","display_name":"Information repository","score":0.3415396213531494},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1665538251399994},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.09745064377784729}],"concepts":[{"id":"https://openalex.org/C2777059624","wikidata":"https://www.wikidata.org/wiki/Q914359","display_name":"Cloud storage","level":3,"score":0.7659506797790527},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7580646872520447},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.720478892326355},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6673740148544312},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5665371417999268},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5609378814697266},{"id":"https://openalex.org/C194739806","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Computer data storage","level":2,"score":0.5590192079544067},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5234769582748413},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.5081171989440918},{"id":"https://openalex.org/C2779659223","wikidata":"https://www.wikidata.org/wiki/Q7619926","display_name":"Storage model","level":2,"score":0.5011601448059082},{"id":"https://openalex.org/C56640594","wikidata":"https://www.wikidata.org/wiki/Q7075068","display_name":"Object storage","level":3,"score":0.4847800135612488},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.43259820342063904},{"id":"https://openalex.org/C8965099","wikidata":"https://www.wikidata.org/wiki/Q5166354","display_name":"Converged storage","level":4,"score":0.4323297142982483},{"id":"https://openalex.org/C116537","wikidata":"https://www.wikidata.org/wiki/Q2169973","display_name":"Service provider","level":3,"score":0.4283908009529114},{"id":"https://openalex.org/C121838778","wikidata":"https://www.wikidata.org/wiki/Q7619924","display_name":"Storage efficiency","level":2,"score":0.41718268394470215},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.38850659132003784},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3729090094566345},{"id":"https://openalex.org/C3102742","wikidata":"https://www.wikidata.org/wiki/Q6031177","display_name":"Information repository","level":3,"score":0.3415396213531494},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1665538251399994},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.09745064377784729},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/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/ccis.2018.8691369","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ccis.2018.8691369","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W1997729648","https://openalex.org/W1998069884","https://openalex.org/W2008732734","https://openalex.org/W2026453187","https://openalex.org/W2097747115","https://openalex.org/W2106932631","https://openalex.org/W2119738171","https://openalex.org/W2136677890","https://openalex.org/W2519041509","https://openalex.org/W2542459869","https://openalex.org/W2544987427","https://openalex.org/W2597151656"],"related_works":["https://openalex.org/W2080470135","https://openalex.org/W2021496484","https://openalex.org/W2936980051","https://openalex.org/W2153292252","https://openalex.org/W1546463374","https://openalex.org/W2038492848","https://openalex.org/W1970765876","https://openalex.org/W2370350654","https://openalex.org/W2785349009","https://openalex.org/W114780745"],"abstract_inverted_index":{"To":[0],"meet":[1,52],"with":[2],"different":[3,24,132],"storage":[4,25,30,44,53,73,80,117,127,135],"requirements,":[5],"lots":[6],"of":[7,36,38,43,134],"products":[8,16],"are":[9,76,95],"provided":[10],"by":[11],"cloud":[12,39],"service":[13],"providers.":[14],"These":[15],"vary":[17],"greatly":[18],"in":[19],"price":[20],"and":[21,56,88,110,147],"performance.":[22],"Choosing":[23],"services":[26,45],"to":[27,65,78,97,115,125,130],"build":[28],"tiered":[29],"systems":[31],"could":[32,122],"reduce":[33],"overall":[34],"costs":[35],"using":[37],"services.":[40],"But":[41],"choosing":[42],"is":[46,143],"not":[47],"easy":[48],"because":[49],"it":[50],"must":[51],"performance":[54,146],"requirements":[55],"minimize":[57],"the":[58],"costs.":[59],"We":[60],"use":[61,111],"machine":[62],"leaning":[63],"methods":[64],"solve":[66],"this":[67],"problem.":[68],"Log":[69],"files":[70,87],"that":[71,140],"keep":[72],"access":[74,81,90],"traits":[75],"used":[77],"analyze":[79],"patterns.":[82],"Firstly,":[83],"we":[84,103],"process":[85],"log":[86],"generate":[89],"frequency":[91],"time":[92,99,108],"series,":[93],"which":[94],"translated":[96],"N-Hot":[98,107],"series":[100,109],"later.":[101],"Then":[102],"extract":[104],"feathers":[105],"from":[106],"K-Means":[112],"clustering":[113],"method":[114],"classify":[116],"objects.":[118,136],"Different":[119],"migration":[120],"policies":[121],"be":[123],"made":[124],"optimize":[126],"usages":[128],"according":[129],"these":[131],"classes":[133],"The":[137],"experiments":[138],"show":[139],"our":[141],"approach":[142],"useful,":[144],"well":[145],"scalable.":[148]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}