{"id":"https://openalex.org/W4206563807","doi":"https://doi.org/10.1145/3493700.3493772","title":"Green Computing for Big Data and Machine Learning","display_name":"Green Computing for Big Data and Machine Learning","publication_year":2022,"publication_date":"2022-01-07","ids":{"openalex":"https://openalex.org/W4206563807","doi":"https://doi.org/10.1145/3493700.3493772"},"language":"en","primary_location":{"id":"doi:10.1145/3493700.3493772","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3493700.3493772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Joint International Conference on Data Science &amp; Management of Data (9th ACM IKDD CODS and 27th COMAD)","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/A5002802214","display_name":"Hrishav Bakul Barua","orcid":"https://orcid.org/0000-0001-5568-3804"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Hrishav Bakul Barua","raw_affiliation_strings":["Robotics &amp; Autonomous Systems, TCS Research, IN"],"affiliations":[{"raw_affiliation_string":"Robotics &amp; Autonomous Systems, TCS Research, IN","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056512425","display_name":"Kartick Chandra Mondal","orcid":"https://orcid.org/0000-0003-3647-5799"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kartick Chandra Mondal","raw_affiliation_strings":["Information Technology, Jadavpur University, IN"],"affiliations":[{"raw_affiliation_string":"Information Technology, Jadavpur University, IN","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108013384","display_name":"Sunirmal Khatua","orcid":"https://orcid.org/0000-0002-2103-6040"},"institutions":[{"id":"https://openalex.org/I106542073","display_name":"University of Calcutta","ror":"https://ror.org/01e7v7w47","country_code":"IN","type":"education","lineage":["https://openalex.org/I106542073"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sunirmal Khatua","raw_affiliation_strings":["Computer Science &amp; Engineering, University of Calcutta, IN"],"affiliations":[{"raw_affiliation_string":"Computer Science &amp; Engineering, University of Calcutta, IN","institution_ids":["https://openalex.org/I106542073"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5002802214"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3616,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.77889447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"348","last_page":"351"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9990000128746033,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9975000023841858,"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/T10682","display_name":"Quantum Computing Algorithms and Architecture","score":0.9900000095367432,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.8621013760566711},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.848524272441864},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8126294612884521},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.6415916681289673},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6098763942718506},{"id":"https://openalex.org/keywords/spike","display_name":"Spike (software development)","score":0.5229635834693909},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4864749610424042},{"id":"https://openalex.org/keywords/volume","display_name":"Volume (thermodynamics)","score":0.44169652462005615},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41873452067375183},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3558103144168854},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3311921954154968},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.32477056980133057},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.324069082736969},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.2825966477394104},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.21649450063705444},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.12569010257720947},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.0895533561706543}],"concepts":[{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.8621013760566711},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.848524272441864},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8126294612884521},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6415916681289673},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6098763942718506},{"id":"https://openalex.org/C2781390188","wikidata":"https://www.wikidata.org/wiki/Q25203449","display_name":"Spike (software development)","level":2,"score":0.5229635834693909},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4864749610424042},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.44169652462005615},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41873452067375183},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3558103144168854},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3311921954154968},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.32477056980133057},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.324069082736969},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.2825966477394104},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.21649450063705444},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.12569010257720947},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0895533561706543},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3493700.3493772","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3493700.3493772","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th Joint International Conference on Data Science &amp; Management of Data (9th ACM IKDD CODS and 27th COMAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2062775008","https://openalex.org/W2065800906","https://openalex.org/W2143283746","https://openalex.org/W2150915951","https://openalex.org/W2265166184","https://openalex.org/W2339488751","https://openalex.org/W2783454406","https://openalex.org/W2931804220","https://openalex.org/W2952499714","https://openalex.org/W2972426716","https://openalex.org/W3159672934"],"related_works":["https://openalex.org/W2769135912","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2174331923","https://openalex.org/W4244478748","https://openalex.org/W2910064364","https://openalex.org/W4255224757"],"abstract_inverted_index":{"The":[0,129,156],"current":[1],"decade":[2],"has":[3],"beheld":[4],"a":[5,29,84,87],"tremendous":[6],"spike":[7],"in":[8,43,86,102,142],"data":[9,55],"volume,":[10],"velocity,":[11],"variety":[12],"and":[13,24,62,105,126,136,145,151,164],"many":[14],"other":[15],"such":[16],"aspects":[17],"which":[18,25],"we":[19,82,92,119],"call":[20],"as":[21,36],"Big":[22,103,149],"Data":[23,96,104,150],"gave":[26],"birth":[27],"to":[28,52,77,138],"new":[30],"kind":[31],"of":[32],"science":[33],"commonly":[34],"known":[35],"\u201dData":[37,41],"Science\u201d.":[38],"With":[39],"the":[40,49,111,134,143,161,168,172],"Apocalypse\u201d":[42],"progress,":[44],"it":[45],"is":[46,74],"evident":[47],"that":[48,75,98,118],"conventional":[50],"methods":[51],"handle":[53],"these":[54],"would":[56],"not":[57],"suffice.":[58],"We":[59,109],"need":[60],"distributed":[61],"parallel":[63],"architectures":[64],"like":[65],"Cloud":[66],"services":[67],"(IaaS,":[68],"PaaS,":[69],"SaaS,":[70],"STaaS,":[71],"etc.).":[72],"But":[73],"enough":[76],"satisfy":[78],"our":[79],"needs?":[80],"Here,":[81],"propose":[83],"tutorial":[85,112],"very":[88],"different":[89],"direction":[90],"when":[91],"are":[93,120],"talking":[94],"about":[95,133,160],"Science,":[97],"is,":[99],"bringing":[100],"greenness":[101],"Machine":[106],"Learning":[107],"(ML).":[108],"divide":[110],"into":[113],"two":[114],"parts":[115],"primarily":[116],"assuming":[117],"using":[121,153],"cloud":[122],"backbone":[123],"for":[124,148,171],"analytic":[125],"prediction":[127],"tasks.":[128],"first":[130],"part":[131,158],"speaks":[132],"techniques":[135,163],"tools":[137],"bring":[139],"energy":[140],"efficiency/greenness":[141],"algorithmic":[144],"code":[146],"level":[147,170],"ML":[152],"Approximate":[154],"Computing.":[155],"second":[157],"talks":[159],"green":[162],"power":[165],"models":[166],"at":[167],"infrastructural":[169],"cloud.":[173]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2026-02-20T06:14:18.993340","created_date":"2025-10-10T00:00:00"}
