{"id":"https://openalex.org/W2973568482","doi":"https://doi.org/10.23940/ijpe.19.08.p7.20812090","title":"Scheduling Algorithm for a Task under Cloud Computing","display_name":"Scheduling Algorithm for a Task under Cloud Computing","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2973568482","doi":"https://doi.org/10.23940/ijpe.19.08.p7.20812090","mag":"2973568482"},"language":"en","primary_location":{"id":"doi:10.23940/ijpe.19.08.p7.20812090","doi":"https://doi.org/10.23940/ijpe.19.08.p7.20812090","is_oa":true,"landing_page_url":"https://doi.org/10.23940/ijpe.19.08.p7.20812090","pdf_url":"http://www.ijpe-online.com/EN/article/downloadArticleFile.do?attachType=PDF&id=4194","source":{"id":"https://openalex.org/S2764685988","display_name":"International Journal of Performability Engineering","issn_l":"0973-1318","issn":["0973-1318"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","russia-white-list-3"],"host_organization":"https://openalex.org/P4360969307","host_organization_name":"Totem Publisher","host_organization_lineage":["https://openalex.org/P4360969307"],"host_organization_lineage_names":["Totem Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Performability Engineering","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"http://www.ijpe-online.com/EN/article/downloadArticleFile.do?attachType=PDF&id=4194","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100389410","display_name":"Yao Yao","orcid":"https://orcid.org/0000-0001-8047-8909","observed_orcids":["https://orcid.org/0000-0001-8047-8909"]},"institutions":[{"id":"https://openalex.org/I4405280501","display_name":"Zhengzhou Institute of Technology","ror":"https://ror.org/030y7ac91","country_code":"CN","type":"education","lineage":["https://openalex.org/I4405280501"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yao Yao","raw_affiliation_strings":["Zhengzhou Institute of Technology, Zhengzhou, 450044, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhengzhou Institute of Technology, Zhengzhou, 450044, China","institution_ids":["https://openalex.org/I4405280501"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5100389410"],"corresponding_institution_ids":["https://openalex.org/I4405280501"],"apc_list":null,"apc_paid":null,"fwci":0.2198,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.6222084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":"15","issue":"8","first_page":"2081","last_page":"2081"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9785000085830688,"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":0.9785000085830688,"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":0.013899999670684338,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.0024999999441206455,"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/ant-colony-optimization","display_name":"ant colony optimization","score":0.8489999771118164},{"id":"https://openalex.org/keywords/imperialist-competitive-algorithm","display_name":"imperialist competitive algorithm","score":0.875},{"id":"https://openalex.org/keywords/hybrid-metaheuristic-algorithm","display_name":"hybrid metaheuristic","score":0.9290000200271606},{"id":"https://openalex.org/keywords/task-execution-time","display_name":"task execution time","score":0.6309999823570251},{"id":"https://openalex.org/keywords/execution-cost","display_name":"execution cost","score":0.847000002861023},{"id":"https://openalex.org/keywords/load-balancing","display_name":"load balancing","score":0.8579999804496765}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7491703629493713},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6568429470062256},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6148191094398499},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.47037404775619507},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.40037795901298523},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.36983147263526917},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.15831142663955688},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.14250248670578003},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11079826951026917}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23940/ijpe.19.08.p7.20812090","doi":"https://doi.org/10.23940/ijpe.19.08.p7.20812090","is_oa":true,"landing_page_url":"https://doi.org/10.23940/ijpe.19.08.p7.20812090","pdf_url":"http://www.ijpe-online.com/EN/article/downloadArticleFile.do?attachType=PDF&id=4194","source":{"id":"https://openalex.org/S2764685988","display_name":"International Journal of Performability Engineering","issn_l":"0973-1318","issn":["0973-1318"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","russia-white-list-3"],"host_organization":"https://openalex.org/P4360969307","host_organization_name":"Totem Publisher","host_organization_lineage":["https://openalex.org/P4360969307"],"host_organization_lineage_names":["Totem Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Performability Engineering","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.23940/ijpe.19.08.p7.20812090","doi":"https://doi.org/10.23940/ijpe.19.08.p7.20812090","is_oa":true,"landing_page_url":"https://doi.org/10.23940/ijpe.19.08.p7.20812090","pdf_url":"http://www.ijpe-online.com/EN/article/downloadArticleFile.do?attachType=PDF&id=4194","source":{"id":"https://openalex.org/S2764685988","display_name":"International Journal of Performability Engineering","issn_l":"0973-1318","issn":["0973-1318"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1","poland-40","russia-white-list-3"],"host_organization":"https://openalex.org/P4360969307","host_organization_name":"Totem Publisher","host_organization_lineage":["https://openalex.org/P4360969307"],"host_organization_lineage_names":["Totem Publisher"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Performability Engineering","raw_type":"journal-article"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2973568482.pdf","grobid_xml":"https://content.openalex.org/works/W2973568482.grobid-xml"},"referenced_works_count":10,"referenced_works":["https://openalex.org/W2114296561","https://openalex.org/W2378934329","https://openalex.org/W2474783688","https://openalex.org/W2503027175","https://openalex.org/W2513391575","https://openalex.org/W2566789236","https://openalex.org/W2586217720","https://openalex.org/W2591970795","https://openalex.org/W2811178210","https://openalex.org/W2890249618"],"related_works":["https://openalex.org/W2608654306","https://openalex.org/W2378636258","https://openalex.org/W2383835878","https://openalex.org/W2886323656","https://openalex.org/W4210773285","https://openalex.org/W4205293108","https://openalex.org/W2372047832","https://openalex.org/W2605490027","https://openalex.org/W2317547804","https://openalex.org/W3152754859"],"abstract_inverted_index":{"Aiming":[0],"at":[1],"the":[2,17,24,30,35,49,58,62,77,83,86],"problem":[3],"of":[4,7,19,29,39,93],"low":[5],"efficiency":[6],"task":[8,18,22,72,94],"scheduling":[9,73],"in":[10,57,91],"cloud":[11,20,70],"computing,":[12],"this":[13],"paper":[14],"first":[15],"analyzes":[16],"computing":[21,71],"scheduling.Secondly,":[23],"pheromone":[25],"setting":[26],"quality":[27],"function":[28],"ant":[31,78],"colony":[32,79],"algorithm":[33,74,87],"and":[34,53,99],"empirical":[36],"feedback":[37],"factor":[38],"selection":[40],"probability":[41],"are":[42,65],"improved.The":[43],"new":[44],"method":[45,52],"is":[46],"adopted":[47],"for":[48],"colonial":[50],"calculation":[51],"boundary":[54],"value":[55],"processing":[56],"imperial":[59],"competition":[60,81],"algorithm.Finally,":[61],"two":[63],"algorithms":[64],"merged":[66],"to":[67],"obtain":[68],"a":[69],"based":[75],"on":[76],"algorithm-empire":[80],"algorithm.In":[82],"simulation":[84],"experiment,":[85],"demonstrates":[88],"certain":[89],"advantages":[90],"terms":[92],"execution":[95,97],"time,":[96],"cost,":[98],"load":[100],"rate.":[101]},"counts_by_year":[{"year":2022,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2019-09-26T00:00:00"}
