{"id":"https://openalex.org/W2807773348","doi":"https://doi.org/10.1109/ants.2017.8384098","title":"Resource usage prediction of cloud workloads using deep bidirectional long short term memory networks","display_name":"Resource usage prediction of cloud workloads using deep bidirectional long short term memory networks","publication_year":2017,"publication_date":"2017-12-01","ids":{"openalex":"https://openalex.org/W2807773348","doi":"https://doi.org/10.1109/ants.2017.8384098","mag":"2807773348"},"language":"en","primary_location":{"id":"doi:10.1109/ants.2017.8384098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ants.2017.8384098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","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/A5049753648","display_name":"Shaifu Gupta","orcid":"https://orcid.org/0000-0002-7146-9012"},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shaifu Gupta","raw_affiliation_strings":["School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, Kamand, H.P., India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, Kamand, H.P., India","institution_ids":["https://openalex.org/I9579091"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108829280","display_name":"Dileep Aroor Dinesh","orcid":null},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Dileep Aroor Dinesh","raw_affiliation_strings":["School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, Kamand, H.P., India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing and Electrical Engineering, Indian Institute of Technology Mandi, Kamand, H.P., India","institution_ids":["https://openalex.org/I9579091"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I9579091"],"apc_list":null,"apc_paid":null,"fwci":3.8839,"has_fulltext":false,"cited_by_count":61,"citation_normalized_percentile":{"value":0.95424009,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9990000128746033,"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":0.9990000128746033,"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/T11344","display_name":"Traffic Prediction and Management Techniques","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2215","display_name":"Building and Construction"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12120","display_name":"Air Quality Monitoring and Forecasting","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2305","display_name":"Environmental Engineering"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental 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":0.855374813079834},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.8476277589797974},{"id":"https://openalex.org/keywords/provisioning","display_name":"Provisioning","score":0.7511944770812988},{"id":"https://openalex.org/keywords/trace","display_name":"TRACE (psycholinguistics)","score":0.609761118888855},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.602841854095459},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.4820786118507385},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4520249366760254},{"id":"https://openalex.org/keywords/long-term-prediction","display_name":"Long-term prediction","score":0.4486645460128784},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44315534830093384},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.41675955057144165},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39820921421051025},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.37358230352401733},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3262684941291809},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1497625708580017},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.09924879670143127},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.07820013165473938}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.855374813079834},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.8476277589797974},{"id":"https://openalex.org/C172191483","wikidata":"https://www.wikidata.org/wiki/Q1071806","display_name":"Provisioning","level":2,"score":0.7511944770812988},{"id":"https://openalex.org/C75291252","wikidata":"https://www.wikidata.org/wiki/Q1315756","display_name":"TRACE (psycholinguistics)","level":2,"score":0.609761118888855},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.602841854095459},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.4820786118507385},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4520249366760254},{"id":"https://openalex.org/C2776537626","wikidata":"https://www.wikidata.org/wiki/Q4047883","display_name":"Long-term prediction","level":2,"score":0.4486645460128784},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44315534830093384},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.41675955057144165},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39820921421051025},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37358230352401733},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3262684941291809},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1497625708580017},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.09924879670143127},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.07820013165473938},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ants.2017.8384098","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ants.2017.8384098","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4300000071525574,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1743501494","https://openalex.org/W1945578421","https://openalex.org/W1975017357","https://openalex.org/W1992360903","https://openalex.org/W2027675520","https://openalex.org/W2031679758","https://openalex.org/W2064675550","https://openalex.org/W2065175568","https://openalex.org/W2106098710","https://openalex.org/W2149921893","https://openalex.org/W2168113589","https://openalex.org/W2384495648","https://openalex.org/W2413927587","https://openalex.org/W2461621749","https://openalex.org/W2604790007","https://openalex.org/W2608354815","https://openalex.org/W6637863832","https://openalex.org/W6675704460"],"related_works":["https://openalex.org/W3203426572","https://openalex.org/W2561450502","https://openalex.org/W2905824599","https://openalex.org/W2460961301","https://openalex.org/W2949516016","https://openalex.org/W2560090078","https://openalex.org/W4255554558","https://openalex.org/W2045411052","https://openalex.org/W39062624","https://openalex.org/W1991058552"],"abstract_inverted_index":{"Resource":[0],"usage":[1,28,52],"prediction":[2,29,49],"is":[3],"an":[4],"important":[5],"aspect":[6],"for":[7,32,48],"achieving":[8],"optimal":[9],"resource":[10,27,51],"provisioning":[11],"in":[12,20,53],"cloud.":[13],"The":[14,74,93],"presence":[15],"of":[16,50,62],"long":[17,42],"range":[18],"dependence":[19],"cloud":[21,54],"workloads":[22],"makes":[23],"conventional":[24],"time":[25],"series":[26],"models":[30,47,77],"unsuitable":[31],"prediction.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37],"proposed":[38,75,99],"to":[39],"use":[40],"multivariate":[41],"short":[43],"term":[44],"memory":[45],"(LSTM)":[46],"workloads.":[55],"We":[56],"analyze":[57],"and":[58,65,81],"compare":[59],"the":[60,84,98],"predictions":[61],"LSTM":[63,67,76],"model":[64,68],"bidirectional":[66],"with":[69,83],"fractional":[70],"difference":[71],"based":[72],"methods.":[73],"have":[78],"been":[79],"evaluated":[80],"compared":[82],"state-of-the-art":[85,102],"existing":[86],"methods":[87],"on":[88],"Google":[89],"cluster":[90],"trace":[91],"[1].":[92],"experimental":[94],"results":[95],"show":[96],"that":[97],"algorithms":[100],"outperform":[101],"algorithms.":[103]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":8},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":3}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
