{"id":"https://openalex.org/W2746746576","doi":"https://doi.org/10.1109/fuzz-ieee.2017.8015589","title":"Energy efficient scheduling on heterogeneous federated clusters using a fuzzy multi-objective meta-heuristic","display_name":"Energy efficient scheduling on heterogeneous federated clusters using a fuzzy multi-objective meta-heuristic","publication_year":2017,"publication_date":"2017-07-01","ids":{"openalex":"https://openalex.org/W2746746576","doi":"https://doi.org/10.1109/fuzz-ieee.2017.8015589","mag":"2746746576"},"language":"en","primary_location":{"id":"doi:10.1109/fuzz-ieee.2017.8015589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2017.8015589","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 Fuzzy Systems (FUZZ-IEEE)","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/A5010693889","display_name":"Eloi Gabald\u00f3n","orcid":"https://orcid.org/0000-0002-4008-7038"},"institutions":[{"id":"https://openalex.org/I15766328","display_name":"Universitat de Lleida","ror":"https://ror.org/050c3cw24","country_code":"ES","type":"education","lineage":["https://openalex.org/I15766328"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"E. Gabaldon","raw_affiliation_strings":["INSPIRES Research Center, Universitat de Lleida, Lle ida, Spain"],"affiliations":[{"raw_affiliation_string":"INSPIRES Research Center, Universitat de Lleida, Lle ida, Spain","institution_ids":["https://openalex.org/I15766328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055686416","display_name":"Sergi Vila","orcid":"https://orcid.org/0000-0002-4536-5025"},"institutions":[{"id":"https://openalex.org/I15766328","display_name":"Universitat de Lleida","ror":"https://ror.org/050c3cw24","country_code":"ES","type":"education","lineage":["https://openalex.org/I15766328"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"S. Vila","raw_affiliation_strings":["INSPIRES Research Center, Universitat de Lleida, Lle ida, Spain"],"affiliations":[{"raw_affiliation_string":"INSPIRES Research Center, Universitat de Lleida, Lle ida, Spain","institution_ids":["https://openalex.org/I15766328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081297325","display_name":"Fernando Guirado","orcid":"https://orcid.org/0000-0003-1352-9555"},"institutions":[{"id":"https://openalex.org/I15766328","display_name":"Universitat de Lleida","ror":"https://ror.org/050c3cw24","country_code":"ES","type":"education","lineage":["https://openalex.org/I15766328"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"F. Guirado","raw_affiliation_strings":["INSPIRES Research Center, Universitat de Lleida, Lle ida, Spain"],"affiliations":[{"raw_affiliation_string":"INSPIRES Research Center, Universitat de Lleida, Lle ida, Spain","institution_ids":["https://openalex.org/I15766328"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018348334","display_name":"Josep L. L\u00e9rida","orcid":null},"institutions":[{"id":"https://openalex.org/I15766328","display_name":"Universitat de Lleida","ror":"https://ror.org/050c3cw24","country_code":"ES","type":"education","lineage":["https://openalex.org/I15766328"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. L. Lerida","raw_affiliation_strings":["INSPIRES Research Center, Universitat de Lleida, Lle ida, Spain"],"affiliations":[{"raw_affiliation_string":"INSPIRES Research Center, Universitat de Lleida, Lle ida, Spain","institution_ids":["https://openalex.org/I15766328"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025177965","display_name":"Jordi Planes","orcid":"https://orcid.org/0000-0003-1861-9736"},"institutions":[{"id":"https://openalex.org/I15766328","display_name":"Universitat de Lleida","ror":"https://ror.org/050c3cw24","country_code":"ES","type":"education","lineage":["https://openalex.org/I15766328"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. Planes","raw_affiliation_strings":["INSPIRES Research Center, Universitat de Lleida, Lle ida, Spain"],"affiliations":[{"raw_affiliation_string":"INSPIRES Research Center, Universitat de Lleida, Lle ida, Spain","institution_ids":["https://openalex.org/I15766328"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5010693889"],"corresponding_institution_ids":["https://openalex.org/I15766328"],"apc_list":null,"apc_paid":null,"fwci":1.0101,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83295173,"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":"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":0.9997000098228455,"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":0.9997000098228455,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9991000294685364,"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/T11478","display_name":"Caching and Content Delivery","score":0.9955000281333923,"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/computer-science","display_name":"Computer science","score":0.7533856630325317},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.7461655139923096},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5743343830108643},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5532790422439575},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5420843362808228},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.5247676372528076},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5174887180328369},{"id":"https://openalex.org/keywords/heuristics","display_name":"Heuristics","score":0.500145673751831},{"id":"https://openalex.org/keywords/meta-heuristic","display_name":"Meta heuristic","score":0.4823455214500427},{"id":"https://openalex.org/keywords/fuzzy-logic","display_name":"Fuzzy logic","score":0.43662816286087036},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.17231175303459167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14822927117347717},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10320523381233215},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09974220395088196},{"id":"https://openalex.org/keywords/routing","display_name":"Routing (electronic design automation)","score":0.06218177080154419}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7533856630325317},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.7461655139923096},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5743343830108643},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5532790422439575},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5420843362808228},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.5247676372528076},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5174887180328369},{"id":"https://openalex.org/C127705205","wikidata":"https://www.wikidata.org/wiki/Q5748245","display_name":"Heuristics","level":2,"score":0.500145673751831},{"id":"https://openalex.org/C2988037039","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Meta heuristic","level":2,"score":0.4823455214500427},{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.43662816286087036},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17231175303459167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14822927117347717},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10320523381233215},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09974220395088196},{"id":"https://openalex.org/C74172769","wikidata":"https://www.wikidata.org/wiki/Q1446839","display_name":"Routing (electronic design automation)","level":2,"score":0.06218177080154419},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fuzz-ieee.2017.8015589","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fuzz-ieee.2017.8015589","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 Fuzzy Systems (FUZZ-IEEE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8999999761581421,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W221150331","https://openalex.org/W1587294773","https://openalex.org/W1966957730","https://openalex.org/W1976685092","https://openalex.org/W1977737848","https://openalex.org/W1981202677","https://openalex.org/W1986178474","https://openalex.org/W1986400910","https://openalex.org/W2014011400","https://openalex.org/W2050703809","https://openalex.org/W2082657055","https://openalex.org/W2086576829","https://openalex.org/W2106898095","https://openalex.org/W2148280713","https://openalex.org/W2157418816","https://openalex.org/W2162407974","https://openalex.org/W2163036765","https://openalex.org/W2216269669","https://openalex.org/W2498207281","https://openalex.org/W2508626404","https://openalex.org/W2522697730","https://openalex.org/W2529677925","https://openalex.org/W2535525765","https://openalex.org/W2537053610","https://openalex.org/W6681831138"],"related_works":["https://openalex.org/W2280422768","https://openalex.org/W3143197806","https://openalex.org/W4252555497","https://openalex.org/W3121175838","https://openalex.org/W3016293053","https://openalex.org/W1690653314","https://openalex.org/W2401723157","https://openalex.org/W2065055572","https://openalex.org/W2784269775","https://openalex.org/W2211751114"],"abstract_inverted_index":{"Reducing":[0],"energy":[1,91,129],"consumption":[2,92,130],"in":[3,12,74,126],"large-scale":[4],"computing":[5,19],"facilities":[6],"has":[7],"become":[8],"a":[9,53,61,98,123],"major":[10],"concern":[11],"recent":[13],"years.":[14],"The":[15,78,101,113],"large":[16],"number":[17],"of":[18,25,71,107,128,143],"nodes,":[20],"resources":[21],"heterogeneity":[22],"and":[23,60,69,131],"diversity":[24],"application":[26],"requirements":[27],"are":[28],"factors":[29],"that":[30],"turn":[31],"the":[32,66,89,95,105,135],"scheduling":[33,46,70,138],"into":[34],"an":[35],"NP-Hard":[36],"problem.":[37],"Evolutionary":[38],"algorithms":[39,109],"have":[40],"proved":[41],"to":[42,64,83,118,122],"be":[43],"effective":[44],"for":[45,97,137],"applications.":[47],"In":[48],"this":[49],"paper,":[50],"we":[51],"present":[52],"novel":[54],"approach":[55],"combining":[56],"particle":[57],"swarm":[58],"optimization":[59],"genetic":[62,124],"algorithm":[63,125],"solving":[65],"resource":[67],"matching":[68],"parallel":[72],"applications":[73],"Federated":[75],"cluster":[76],"environments.":[77],"proposed":[79],"hybrid":[80,114],"meta-heuristic,":[81],"referred":[82],"as":[84],"MPSO-FGA,":[85],"not":[86],"only":[87],"minimizes":[88],"overall":[90],"but":[93,133],"also":[94],"makespan":[96,132],"whole":[99],"workload.":[100],"experimental":[102],"results":[103,121],"show":[104],"superiority":[106],"evolutionary":[108],"over":[110],"basic":[111],"heuristics.":[112],"meta-heuristic":[115],"is":[116],"able":[117],"obtain":[119],"similar":[120],"terms":[127],"reducing":[134],"time":[136],"decisions":[139],"by":[140],"two":[141],"orders":[142],"magnitude.":[144]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-03-25T13:04:00.132906","created_date":"2025-10-10T00:00:00"}