{"id":"https://openalex.org/W7123363100","doi":"https://doi.org/10.1109/dsa66321.2025.00061","title":"An Improved Greylag Goose Optimization Algorithm for Heterogeneous Cloud Computing Task Scheduling","display_name":"An Improved Greylag Goose Optimization Algorithm for Heterogeneous Cloud Computing Task Scheduling","publication_year":2025,"publication_date":"2025-11-24","ids":{"openalex":"https://openalex.org/W7123363100","doi":"https://doi.org/10.1109/dsa66321.2025.00061"},"language":null,"primary_location":{"id":"doi:10.1109/dsa66321.2025.00061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsa66321.2025.00061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 12th International Conference on Dependable Systems and Their Applications (DSA)","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/A5060840215","display_name":"Ke Li","orcid":"https://orcid.org/0000-0002-3190-1202"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kecheng Li","raw_affiliation_strings":["Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122906935","display_name":"Siqi Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siqi Gu","raw_affiliation_strings":["Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122893162","display_name":"Zhaojun Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155232","display_name":"Fiberhome Technology Group (China)","ror":"https://ror.org/04yv20134","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210155232"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaojun Zhu","raw_affiliation_strings":["Wuhan Maritime Communication Research Institute,Wuhan,China"],"affiliations":[{"raw_affiliation_string":"Wuhan Maritime Communication Research Institute,Wuhan,China","institution_ids":["https://openalex.org/I4210155232"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112015679","display_name":"Shan Zhou","orcid":"https://orcid.org/0000-0001-7753-7592"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210086028","display_name":"Technology and Engineering Center for Space Utilization","ror":"https://ror.org/00cn03n83","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210086028"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Zhou","raw_affiliation_strings":["Chinese Academy of Sciences,Technology and Engineering Center for Space Utilization,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Technology and Engineering Center for Space Utilization,Beijing,China","institution_ids":["https://openalex.org/I4210086028","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5122879205","display_name":"Zhenyu Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Chen","raw_affiliation_strings":["Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China"],"affiliations":[{"raw_affiliation_string":"Nanjing University,State Key Laboratory for Novel Software Technology,Nanjing,China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5060840215"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.82984944,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"468","last_page":"479"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.8780999779701233,"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":0.8780999779701233,"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/T14347","display_name":"Big Data and Digital Economy","score":0.02370000071823597,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.0203000009059906,"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/cloud-computing","display_name":"Cloud computing","score":0.6894000172615051},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5795000195503235},{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.5425999760627747},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4359000027179718},{"id":"https://openalex.org/keywords/suite","display_name":"Suite","score":0.40130001306533813},{"id":"https://openalex.org/keywords/load-balancing","display_name":"Load balancing (electrical power)","score":0.3797999918460846},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.3774000108242035},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.37459999322891235},{"id":"https://openalex.org/keywords/virtual-machine","display_name":"Virtual machine","score":0.3612000048160553}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.807200014591217},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6894000172615051},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5795000195503235},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.5425999760627747},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5321000218391418},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4359000027179718},{"id":"https://openalex.org/C79581498","wikidata":"https://www.wikidata.org/wiki/Q1367530","display_name":"Suite","level":2,"score":0.40130001306533813},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4004000127315521},{"id":"https://openalex.org/C138959212","wikidata":"https://www.wikidata.org/wiki/Q1806783","display_name":"Load balancing (electrical power)","level":3,"score":0.3797999918460846},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.3774000108242035},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.37459999322891235},{"id":"https://openalex.org/C25344961","wikidata":"https://www.wikidata.org/wiki/Q192726","display_name":"Virtual machine","level":2,"score":0.3612000048160553},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.33219999074935913},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3271999955177307},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3199999928474426},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.3149000108242035},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.3122999966144562},{"id":"https://openalex.org/C106516650","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm design","level":2,"score":0.30570000410079956},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.28790000081062317},{"id":"https://openalex.org/C115051666","wikidata":"https://www.wikidata.org/wiki/Q6522493","display_name":"Ranging","level":2,"score":0.27239999175071716},{"id":"https://openalex.org/C2779907789","wikidata":"https://www.wikidata.org/wiki/Q22095616","display_name":"CloudSim","level":3,"score":0.2671000063419342},{"id":"https://openalex.org/C31689143","wikidata":"https://www.wikidata.org/wiki/Q733809","display_name":"Fair-share scheduling","level":3,"score":0.25859999656677246},{"id":"https://openalex.org/C2780609101","wikidata":"https://www.wikidata.org/wiki/Q17156588","display_name":"Resource management (computing)","level":2,"score":0.25619998574256897},{"id":"https://openalex.org/C164752517","wikidata":"https://www.wikidata.org/wiki/Q5570875","display_name":"Global optimization","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsa66321.2025.00061","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsa66321.2025.00061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 12th International Conference on Dependable Systems and Their Applications (DSA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Task":[0],"scheduling":[1,178,205],"in":[2,171,184],"heterogeneous":[3,130],"cloud":[4,36,131],"computing":[5,37,132],"environments":[6,133],"poses":[7],"significant":[8],"challenges":[9],"due":[10],"to":[11,141],"the":[12,18,48,60,71,81,125,155,159],"complexity":[13],"of":[14,20,75,84,158,174],"resource":[15,201],"allocation":[16],"and":[17,63,95,116,129,189,203],"necessity":[19],"optimizing":[21],"multiple":[22],"objectives":[23],"simultaneously.":[24],"This":[25],"paper":[26],"proposes":[27],"an":[28],"improved":[29],"Grey":[30],"Goose":[31,86],"Optimization":[32,78,87],"(IGGO)":[33],"algorithm":[34,42,69,194],"for":[35,51],"task":[38,136,177,197],"scheduling,":[39],"through":[40],"systematic":[41],"enhancement,":[43],"which":[44],"not":[45],"only":[46],"accelerates":[47],"search":[49],"speed":[50],"understanding":[52],"but":[53],"also":[54],"achieves":[55,168],"a":[56],"dynamic":[57],"balance":[58],"between":[59],"global":[61],"exploration":[62],"local":[64],"development":[65],"processes.":[66],"The":[67,192],"IGGO":[68,161,167],"combines":[70],"velocity-position":[72],"update":[73],"framework":[74,102],"Particle":[76],"Swarm":[77],"(PSO)":[79],"with":[80,134],"exploration-exploitation":[82],"mechanisms":[83],"Greylag":[85],"(GGO),":[88],"incorporating":[89],"adaptive":[90],"parameter":[91],"adjustment,":[92],"diversity":[93],"preservation,":[94],"elite":[96],"retention":[97],"strategies.":[98],"A":[99],"comprehensive":[100],"evaluation":[101],"is":[103],"established":[104],"based":[105],"on":[106],"three":[107],"key":[108],"performance":[109,157,170],"metrics:":[110],"total":[111],"execution":[112,198],"time,":[113,199],"computational":[114],"cost,":[115],"load":[117],"balancing":[118],"efficiency.":[119],"Extensive":[120],"experiments":[121],"are":[122],"conducted":[123],"using":[124],"CEC2017":[126],"benchmark":[127],"suite":[128],"varying":[135],"loads":[137],"ranging":[138],"from":[139],"50":[140],"500":[142],"tasks":[143],"across":[144],"diverse":[145],"virtual":[146],"machine":[147],"configurations.":[148],"Comparative":[149],"analysis":[150],"against":[151],"five":[152],"algorithms":[153,183],"demonstrates":[154],"superior":[156],"proposed":[160,193],"algorithm.":[162],"Experimental":[163],"results":[164],"indicate":[165],"that":[166],"optimal":[169],"78.9":[172],"%":[173],"451":[175],"different":[176],"scenarios,":[179],"significantly":[180],"outperforming":[181],"baseline":[182],"convergence":[185],"speed,":[186],"solution":[187],"quality,":[188],"algorithmic":[190],"stability.":[191],"effectively":[195],"reduces":[196],"enhances":[200],"utilization,":[202],"minimizes":[204],"costs.":[206]},"counts_by_year":[],"updated_date":"2026-02-23T20:09:44.859080","created_date":"2026-01-14T00:00:00"}
