{"id":"https://openalex.org/W4392972111","doi":"https://doi.org/10.48550/arxiv.2403.11259","title":"A learning-based solution approach to the application placement problem\n in mobile edge computing under uncertainty","display_name":"A learning-based solution approach to the application placement problem\n in mobile edge computing under uncertainty","publication_year":2024,"publication_date":"2024-03-17","ids":{"openalex":"https://openalex.org/W4392972111","doi":"https://doi.org/10.48550/arxiv.2403.11259"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2403.11259","pdf_url":"https://arxiv.org/pdf/2403.11259","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2403.11259","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062815676","display_name":"Taha\u2010Hossein Hejazi","orcid":"https://orcid.org/0000-0001-8648-6280"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hejazi, Taha-Hossein","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5094196451","display_name":"Zahra Ghadimkhani","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ghadimkhani, Zahra","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5101868938","display_name":"Arezoo Borji","orcid":"https://orcid.org/0000-0003-1288-0976"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Borji, Arezoo","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":84},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9763,"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":0.9763,"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/mobile-edge-computing","display_name":"Mobile Edge Computing","score":0.5987655}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6659513},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.62193835},{"id":"https://openalex.org/C2776061582","wikidata":"https://www.wikidata.org/wiki/Q25325231","display_name":"Mobile edge computing","level":3,"score":0.5987655},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.49913716},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.41993016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34322542},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33082962},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19069123}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2403.11259","pdf_url":"https://arxiv.org/pdf/2403.11259","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2403.11259","pdf_url":"https://arxiv.org/pdf/2403.11259","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4386004629","https://openalex.org/W4361251304","https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W4210813012","https://openalex.org/W3174690704","https://openalex.org/W3024547383","https://openalex.org/W2979760315","https://openalex.org/W2968424451","https://openalex.org/W2914646191"],"abstract_inverted_index":{"Placing":[0],"applications":[1],"in":[2,63,185,227,239],"mobile":[3,228],"edge":[4,64,229,243],"computing":[5,230],"servers":[6,79,136],"presents":[7],"a":[8,21,97,215],"complex":[9],"challenge":[10],"involving":[11],"many":[12],"servers,":[13],"users,":[14],"and":[15,87,119,137,162,179,223],"their":[16,116,138],"requests.":[17],"Existing":[18],"algorithms":[19],"take":[20],"long":[22],"time":[23],"to":[24,38,71,74,78,188,213,242,257],"solve":[25],"high-dimensional":[26,221],"problems":[27,222],"with":[28,225],"significant":[29],"uncertainty":[30],"scenarios.":[31],"Therefore,":[32],"an":[33,204],"efficient":[34,217],"approach":[35,218],"is":[36,53,94,107,157],"required":[37],"maximize":[39],"the":[40,82,92,121,127,134,148,152,158,172,193],"quality":[41],"of":[42,50,85,104,130,151,199,207],"service":[43],"while":[44],"considering":[45],"all":[46],"technical":[47],"constraints.":[48],"One":[49],"these":[51],"approaches":[52],"machine":[54,141,233],"learning,":[55],"which":[56,156],"emulates":[57],"optimal":[58,237],"solutions":[59],"for":[60,147,219,236],"application":[61],"placement":[62],"servers.":[65,88,244],"Machine":[66],"learning":[67,142,234],"models":[68,143,235,250],"are":[69,163,183],"expected":[70],"learn":[72],"how":[73],"allocate":[75],"user":[76,114,132],"requests":[77],"based":[80,125],"on":[81,126],"spatial":[83],"positions":[84],"users":[86],"In":[89],"this":[90,186],"study,":[91],"problem":[93],"formulated":[95],"as":[96,113,165],"two-stage":[98],"stochastic":[99,153,194],"programming.":[100],"A":[101],"sufficient":[102],"amount":[103],"training":[105],"records":[106],"generated":[108],"by":[109,231],"varying":[110],"parameters":[111],"such":[112],"locations,":[115],"request":[117,139,160,240],"rates,":[118,140],"solving":[120],"optimization":[122,154,173,195],"model.":[123,174],"Then,":[124],"distance":[128],"features":[129],"each":[131,200],"from":[133,192],"available":[135],"generate":[144],"decision":[145,167],"variables":[146],"first":[149],"stage":[150],"model,":[155],"user-to-server":[159],"allocation,":[161],"employed":[164],"independent":[166],"agents":[168],"that":[169,248],"reliably":[170],"mimic":[171],"Support":[175],"Vector":[176],"Machines":[177],"(SVM)":[178],"Multi-layer":[180],"Perceptron":[181],"(MLP)":[182],"used":[184],"research":[187,211],"achieve":[189],"practical":[190],"decisions":[191],"models.":[196],"The":[197],"performance":[198],"model":[201],"has":[202],"shown":[203],"execution":[205],"effectiveness":[206],"over":[208],"80%.":[209],"This":[210],"aims":[212],"provide":[214],"more":[216],"tackling":[220],"scenarios":[224],"uncertainties":[226],"leveraging":[232],"decision-making":[238],"allocation":[241],"These":[245],"results":[246],"suggest":[247],"machine-learning":[249],"can":[251],"significantly":[252],"improve":[253],"solution":[254],"times":[255],"compared":[256],"conventional":[258],"approaches.":[259]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4392972111","counts_by_year":[],"updated_date":"2024-12-12T05:36:26.888980","created_date":"2024-03-20"}