{"id":"https://openalex.org/W2483088994","doi":"https://doi.org/10.1145/2908812.2908861","title":"Grammatical Evolution Enhancing Simulated Annealing for the Load Balancing Problem in Cloud Computing","display_name":"Grammatical Evolution Enhancing Simulated Annealing for the Load Balancing Problem in Cloud Computing","publication_year":2016,"publication_date":"2016-07-20","ids":{"openalex":"https://openalex.org/W2483088994","doi":"https://doi.org/10.1145/2908812.2908861","mag":"2483088994"},"language":"en","primary_location":{"id":"doi:10.1145/2908812.2908861","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908812.2908861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference 2016","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Grammatical_evolution_enhancing_simulated_annealing_for_the_load_balancing_problem_in_cloud_computing/27399075","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5050621611","display_name":"Nasser R. Sabar","orcid":"https://orcid.org/0000-0002-0276-4704"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Nasser R. Sabar","raw_affiliation_strings":["RMIT university, Melbourne , Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RMIT university, Melbourne , Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056403144","display_name":"Andy Song","orcid":"https://orcid.org/0000-0002-7579-7048"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Andy Song","raw_affiliation_strings":["RMIT university, Melbourne , Australia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RMIT university, Melbourne , Australia","institution_ids":["https://openalex.org/I82951845"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82951845"],"apc_list":null,"apc_paid":null,"fwci":2.8896,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.92418156,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"997","last_page":"1003"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9991000294685364,"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":0.9991000294685364,"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.9975000023841858,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9966999888420105,"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/simulated-annealing","display_name":"Simulated annealing","score":0.7744338512420654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7154136896133423},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6161960959434509},{"id":"https://openalex.org/keywords/neighbourhood","display_name":"Neighbourhood (mathematics)","score":0.5819273591041565},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.5456167459487915},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5444567799568176},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3254866600036621},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1438603699207306}],"concepts":[{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.7744338512420654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7154136896133423},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6161960959434509},{"id":"https://openalex.org/C161677786","wikidata":"https://www.wikidata.org/wiki/Q2478475","display_name":"Neighbourhood (mathematics)","level":2,"score":0.5819273591041565},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.5456167459487915},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5444567799568176},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3254866600036621},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1438603699207306},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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":3,"locations":[{"id":"doi:10.1145/2908812.2908861","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2908812.2908861","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Genetic and Evolutionary Computation Conference 2016","raw_type":"proceedings-article"},{"id":"pmh:oai:alma.61RMIT_INST:11247217360001341","is_oa":false,"landing_page_url":"http://dl.acm.org/citation.cfm?id=2908861","pdf_url":null,"source":{"id":"https://openalex.org/S4306402074","display_name":"RMIT Research Repository (RMIT University Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I82951845","host_organization_name":"RMIT University","host_organization_lineage":["https://openalex.org/I82951845"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"pmh:oai:figshare.com:article/27399075","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Grammatical_evolution_enhancing_simulated_annealing_for_the_load_balancing_problem_in_cloud_computing/27399075","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/27399075","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Grammatical_evolution_enhancing_simulated_annealing_for_the_load_balancing_problem_in_cloud_computing/27399075","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference contribution"},"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","id":"https://metadata.un.org/sdg/11","score":0.4399999976158142}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W20410761","https://openalex.org/W798021849","https://openalex.org/W2018407890","https://openalex.org/W2024060531","https://openalex.org/W2030286210","https://openalex.org/W2045287414","https://openalex.org/W2051877214","https://openalex.org/W2104641883","https://openalex.org/W2114296561","https://openalex.org/W2126148517","https://openalex.org/W2175760929","https://openalex.org/W2274453419","https://openalex.org/W2296218809","https://openalex.org/W4212885252"],"related_works":["https://openalex.org/W4393363920","https://openalex.org/W4244478748","https://openalex.org/W4223488648","https://openalex.org/W4248744973","https://openalex.org/W2134969820","https://openalex.org/W2251605416","https://openalex.org/W1997222214","https://openalex.org/W2560439919","https://openalex.org/W4389340727","https://openalex.org/W4327850430"],"abstract_inverted_index":{"Load":[0],"balancing":[1],"(LB)":[2],"is":[3,12,49,136,182,191,210],"crucial":[4],"in":[5,112],"the":[6,15,26,68,80,84,87,92,95,110,119,141,159,162,178,185,198],"field":[7],"of":[8,18,23,62,70,86,97,118,161,177],"cloud":[9],"computing.":[10],"LB":[11,194],"to":[13,104,108,138,214],"find":[14],"optimum":[16],"allocation":[17],"services":[19],"onto":[20],"a":[21,35,50,60,75,132,192],"set":[22],"machines":[24],"so":[25,166],"machine":[27,187],"usage":[28],"can":[29,151,170],"be":[30,105,171],"maximised.":[31],"This":[32],"paper":[33],"proposes":[34],"new":[36],"method":[37,150,181],"for":[38,197],"LB,":[39],"simulated":[40],"annealing":[41],"(SA)":[42],"enhanced":[43,208],"by":[44],"grammatical":[45],"evolution":[46,134],"(GE).":[47],"SA":[48,71,98,153,209],"well-known":[51],"stochastic":[52],"optimisation":[53],"algorithm":[54],"that":[55,205],"has":[56],"good":[57],"performance":[58],"on":[59,74,158,184],"range":[61],"problems":[63],"including":[64],"loading":[65],"balancing.":[66],"However":[67],"success":[69],"often":[72],"relies":[73],"key":[76],"parameter":[77,93,126,144,154],"known":[78],"as":[79],"cooling":[81,142],"schedule":[82,143],"and":[83,94,145,155],"type":[85],"utilised":[88],"neighbourhood":[89,146],"structure.":[90],"Both":[91],"structure":[96,156],"are":[99],"problem":[100,111],"specific.":[101],"They":[102],"need":[103],"manually":[106],"adjusted":[107],"fit":[109],"hand.":[113],"In":[114],"addition":[115],"different":[116,124],"stages":[117],"search":[120,164],"process":[121],"may":[122],"have":[123],"optimal":[125],"values.":[127],"To":[128],"address":[129],"these":[130],"issues,":[131],"grammar":[133],"approach":[135],"introduced":[137],"adaptively":[139],"evolve":[140],"structures.":[147],"The":[148,175],"proposed":[149,179,196],"adjust":[152],"based":[157],"landscape":[160],"current":[163],"state":[165],"high":[167],"quality":[168],"solutions":[169],"found":[172],"more":[173],"quickly.":[174],"effectiveness":[176],"GE":[180,207],"demonstrated":[183],"Google":[186],"reassignment":[188],"problem,":[189,195],"which":[190],"typical":[193],"ROADEF/EURO":[199],"2012":[200],"challenge.":[201],"Experimental":[202],"results":[203],"show":[204],"our":[206],"highly":[211],"competitive":[212],"compared":[213],"state-of-the-art":[215],"algorithms.":[216]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3}],"updated_date":"2026-08-25T07:29:55.448023","created_date":"2025-10-10T00:00:00"}
