{"id":"https://openalex.org/W3041193488","doi":"https://doi.org/10.4018/ijwsr.2020070104","title":"A Novel Approach to Location-Aware Scheduling of Workflows Over Edge Computing Resources","display_name":"A Novel Approach to Location-Aware Scheduling of Workflows Over Edge Computing Resources","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3041193488","doi":"https://doi.org/10.4018/ijwsr.2020070104","mag":"3041193488"},"language":"en","primary_location":{"id":"doi:10.4018/ijwsr.2020070104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijwsr.2020070104","pdf_url":null,"source":{"id":"https://openalex.org/S119470311","display_name":"International Journal of Web Services Research","issn_l":"1545-7362","issn":["1545-7362","1546-5004"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Services Research","raw_type":"journal-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/A5100672017","display_name":"Li Yin","orcid":"https://orcid.org/0000-0003-1951-1487"},"institutions":[{"id":"https://openalex.org/I4210108135","display_name":"Guangzhou Institute of Applied Software Technology, Chinese Academy of Sciences","ror":"https://ror.org/01hf44t80","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210108135"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yin Li","raw_affiliation_strings":["Institute of Software Application Technology, Guangzhou, China & Chinese Academy of Sciences, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Software Application Technology, Guangzhou, China & Chinese Academy of Sciences, Guangzhou, China","institution_ids":["https://openalex.org/I4210108135"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049276169","display_name":"Yuyin Ma","orcid":"https://orcid.org/0000-0002-9735-8353"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuyin Ma","raw_affiliation_strings":["Chongqing University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chongqing University, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090608294","display_name":"Ziyang Zeng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ziyang Zeng","raw_affiliation_strings":["Chonqing University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chonqing University, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4637,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66399154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"17","issue":"3","first_page":"56","last_page":"68"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9997000098228455,"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"}},"topics":[{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9997000098228455,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9945999979972839,"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":0.9879999756813049,"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":0.899807333946228},{"id":"https://openalex.org/keywords/workflow","display_name":"Workflow","score":0.7646533250808716},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.7014920711517334},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.6558691263198853},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.521294116973877},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.4769291281700134},{"id":"https://openalex.org/keywords/server","display_name":"Server","score":0.468534380197525},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.40550071001052856},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.33159497380256653},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.20462629199028015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09116879105567932}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.899807333946228},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.7646533250808716},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.7014920711517334},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.6558691263198853},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.521294116973877},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.4769291281700134},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.468534380197525},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.40550071001052856},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.33159497380256653},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.20462629199028015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09116879105567932},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/ijwsr.2020070104","is_oa":false,"landing_page_url":"https://doi.org/10.4018/ijwsr.2020070104","pdf_url":null,"source":{"id":"https://openalex.org/S119470311","display_name":"International Journal of Web Services Research","issn_l":"1545-7362","issn":["1545-7362","1546-5004"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Web Services Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jwsr00:v:17:y:2020:i:3:p:56-68","is_oa":false,"landing_page_url":"https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJWSR.2020070104","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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":"article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1983025626","https://openalex.org/W2028351695","https://openalex.org/W2053135983","https://openalex.org/W2085080956","https://openalex.org/W2154943049","https://openalex.org/W2400861403","https://openalex.org/W2526174145","https://openalex.org/W2890673770","https://openalex.org/W2892008910","https://openalex.org/W2913429047","https://openalex.org/W2929242575","https://openalex.org/W2948851896","https://openalex.org/W2952027602","https://openalex.org/W2993764030","https://openalex.org/W3127166993"],"related_works":["https://openalex.org/W2092530219","https://openalex.org/W1981780420","https://openalex.org/W2182707996","https://openalex.org/W3154796165","https://openalex.org/W4324372666","https://openalex.org/W2979760315","https://openalex.org/W4225706866","https://openalex.org/W2914646191","https://openalex.org/W4386004629","https://openalex.org/W2942586735"],"abstract_inverted_index":{"Edge":[0],"computing":[1,7,33,94],"is":[2,35,99],"pushing":[3],"the":[4,17,31,78,116,121,128,131],"frontier":[5],"of":[6,20,44,69,101,123,150],"applications,":[8],"data,":[9],"and":[10,46,88,154],"services":[11],"away":[12],"from":[13],"centralized":[14],"nodes":[15],"to":[16,56,73,86],"logical":[18],"extremes":[19],"a":[21,83,147],"network.":[22],"A":[23],"major":[24],"technological":[25],"challenge":[26],"for":[27,120],"workflow":[28,51,107,158],"scheduling":[29,91,125],"in":[30,42,141],"edge":[32,70,93,151],"environment":[34],"cost":[36],"reduction":[37],"with":[38,92,105],"service-level-agreement":[39],"(SLA)":[40],"constraints":[41],"terms":[43,142],"performance":[45],"quality-of-service":[47],"requirements":[48],"because":[49],"real-world":[50,148],"applications":[52],"are":[53],"constantly":[54],"subject":[55],"negative":[57],"impacts":[58],"(e.g.,":[59],"network":[60],"congestions,":[61],"unexpected":[62],"long":[63],"message":[64],"delays,":[65],"shrinking":[66],"coverage,":[67],"range":[68],"servers":[71],"due":[72],"battery":[74],"depletion.":[75],"To":[76],"address":[77],"above":[79],"concern,":[80],"we":[81],"propose":[82],"novel":[84],"approach":[85,98,137],"location-aware":[87],"proximity-constrained":[89],"multi-workflow":[90],"resources).":[95],"The":[96],"proposed":[97,136],"capable":[100],"minimizing":[102],"monetary":[103],"costs":[104],"user-required":[106],"completion":[108],"deadlines.":[109],"It":[110],"employs":[111],"an":[112],"evolutionary":[113],"algorithm":[114],"(i.e.,":[115],"discrete":[117],"firefly":[118],"algorithm)":[119],"generation":[122],"near-optimal":[124],"decisions.":[126],"For":[127],"validation":[129],"purpose,":[130],"authors":[132],"show":[133],"that":[134],"our":[135],"outperforms":[138],"traditional":[139],"peers":[140],"multiple":[143,155],"metrics":[144],"based":[145],"on":[146],"dataset":[149],"resource":[152],"locations":[153],"well-known":[156],"scientific":[157],"templates.":[159]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-06-11T06:19:23.411458","created_date":"2025-10-10T00:00:00"}
