{"id":"https://openalex.org/W4241429244","doi":"https://doi.org/10.1109/glocom.2014.7417491","title":"Virtual Machine Placement via Q-Learning with Function Approximation","display_name":"Virtual Machine Placement via Q-Learning with Function Approximation","publication_year":2014,"publication_date":"2014-12-01","ids":{"openalex":"https://openalex.org/W4241429244","doi":"https://doi.org/10.1109/glocom.2014.7417491"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2014.7417491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2014.7417491","pdf_url":null,"source":{"id":"https://openalex.org/S4363607712","display_name":"2015 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Global Communications Conference (GLOBECOM)","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/A5041269823","display_name":"Thai Duong","orcid":"https://orcid.org/0000-0002-8115-8330"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Thai Duong","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Oregon State University"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Oregon State University","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112792177","display_name":"Yu-Jung Chu","orcid":null},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu-Jung Chu","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Oregon State University"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Oregon State University","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075106229","display_name":"Thinh Nguyen","orcid":"https://orcid.org/0000-0001-5964-5872"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thinh Nguyen","raw_affiliation_strings":["School of Electrical Engineering and Computer Science, Oregon State University"],"affiliations":[{"raw_affiliation_string":"School of Electrical Engineering and Computer Science, Oregon State University","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084068339","display_name":"Jacob Chakareski","orcid":"https://orcid.org/0000-0003-2428-9518"},"institutions":[{"id":"https://openalex.org/I17301866","display_name":"University of Alabama","ror":"https://ror.org/03xrrjk67","country_code":"US","type":"education","lineage":["https://openalex.org/I17301866"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jacob Chakareski","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Alabama"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Alabama","institution_ids":["https://openalex.org/I17301866"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5041269823"],"corresponding_institution_ids":["https://openalex.org/I131249849"],"apc_list":null,"apc_paid":null,"fwci":0.4399,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72930649,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"12","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9973999857902527,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9959999918937683,"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":0.8335774540901184},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.6841311454772949},{"id":"https://openalex.org/keywords/network-topology","display_name":"Network topology","score":0.659058690071106},{"id":"https://openalex.org/keywords/virtual-machine","display_name":"Virtual machine","score":0.5371113419532776},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46655529737472534},{"id":"https://openalex.org/keywords/virtual-network","display_name":"Virtual network","score":0.42866289615631104},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.4273519217967987},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.36637985706329346},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34183329343795776},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3334188759326935},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1469082236289978}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8335774540901184},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.6841311454772949},{"id":"https://openalex.org/C199845137","wikidata":"https://www.wikidata.org/wiki/Q145490","display_name":"Network topology","level":2,"score":0.659058690071106},{"id":"https://openalex.org/C25344961","wikidata":"https://www.wikidata.org/wiki/Q192726","display_name":"Virtual machine","level":2,"score":0.5371113419532776},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46655529737472534},{"id":"https://openalex.org/C2776874963","wikidata":"https://www.wikidata.org/wiki/Q4112081","display_name":"Virtual network","level":2,"score":0.42866289615631104},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.4273519217967987},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.36637985706329346},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34183329343795776},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3334188759326935},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1469082236289978},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2014.7417491","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2014.7417491","pdf_url":null,"source":{"id":"https://openalex.org/S4363607712","display_name":"2015 IEEE Global Communications Conference (GLOBECOM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE Global Communications Conference (GLOBECOM)","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":18,"referenced_works":["https://openalex.org/W616339485","https://openalex.org/W1553750894","https://openalex.org/W1890643295","https://openalex.org/W2015242646","https://openalex.org/W2018598835","https://openalex.org/W2029699773","https://openalex.org/W2036267200","https://openalex.org/W2077661716","https://openalex.org/W2117763252","https://openalex.org/W2126210439","https://openalex.org/W2130304665","https://openalex.org/W2155027007","https://openalex.org/W2334782222","https://openalex.org/W2541557612","https://openalex.org/W4214717370","https://openalex.org/W4237515752","https://openalex.org/W4238465620","https://openalex.org/W6683204974"],"related_works":["https://openalex.org/W2086397253","https://openalex.org/W2133122801","https://openalex.org/W600422426","https://openalex.org/W2007156430","https://openalex.org/W3081478936","https://openalex.org/W2315999538","https://openalex.org/W187740018","https://openalex.org/W2162286586","https://openalex.org/W4255368532","https://openalex.org/W2545245845"],"abstract_inverted_index":{"While":[0],"existing":[1],"virtual":[2,65,95,122],"machine":[3],"technologies":[4],"provide":[5],"easy-to-use":[6],"platforms":[7],"for":[8,46,94,100,147],"distributed":[9,101],"computing":[10,102,115],"applications,":[11],"many":[12],"are":[13,152],"far":[14],"from":[15,32],"efficient":[16],"and":[17,59,67,83,92,98,124,135,149],"not":[18,34,50,69],"designed":[19],"to":[20,43,143,154],"accommodate":[21],"diverse":[22,47],"objectives,":[23],"which":[24],"dramatically":[25],"penalizes":[26],"their":[27],"performance.":[28],"These":[29],"shortcomings":[30],"arise":[31],"1)":[33],"having":[35],"a":[36],"formal":[37],"optimization":[38,81],"framework":[39,82],"that":[40],"readily":[41],"leads":[42],"algorithmic":[44,86],"solutions":[45,87],"objectives;":[48],"2)":[49],"incorporating":[51],"the":[52,55,60,64,71,107,110,114,117,121,125,128,138],"knowledge":[53,108],"of":[54,74,109,113,127],"underlying":[56,111],"network":[57],"topologies":[58,112],"communication/interaction":[61],"patterns":[62,119],"among":[63],"machines/services,":[66],"3)":[68],"considering":[70],"time-varying":[72,104],"aspects":[73],"real-world":[75],"environments.":[76,105],"This":[77],"paper":[78],"formalizes":[79],"an":[80],"develops":[84],"corresponding":[85],"using":[88],"Markov":[89],"Decision":[90],"Process":[91],"Q-Learning":[93],"machine/service":[96],"placement":[97],"migration":[99],"in":[103,141],"Importantly,":[106],"infrastructure,":[116],"interaction":[118],"between":[120],"machines,":[123],"dynamics":[126],"supported":[129],"applications":[130],"will":[131],"be":[132],"formally":[133],"characterized":[134],"incorporated":[136],"into":[137],"proposed":[139],"algorithms":[140],"order":[142],"improve":[144],"performance":[145],"results":[146],"small-scale":[148],"large-scale":[150],"networks":[151],"provided":[153],"verify":[155],"our":[156],"solution":[157],"approach.":[158]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}