{"id":"https://openalex.org/W2918042974","doi":"https://doi.org/10.1109/glocom.2018.8648033","title":"A Hybrid Fitness-Utility Algorithm for Improved Service Chain Placement","display_name":"A Hybrid Fitness-Utility Algorithm for Improved Service Chain Placement","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2918042974","doi":"https://doi.org/10.1109/glocom.2018.8648033","mag":"2918042974"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2018.8648033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2018.8648033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 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/A5021905057","display_name":"Radhika Loomba","orcid":null},"institutions":[{"id":"https://openalex.org/I131781684","display_name":"Intel (Ireland)","ror":"https://ror.org/02r5scg33","country_code":"IE","type":"company","lineage":["https://openalex.org/I131781684","https://openalex.org/I1343180700"]}],"countries":["IE"],"is_corresponding":true,"raw_author_name":"Radhika Loomba","raw_affiliation_strings":["Intel Labs Europe, Leixlip, Ireland"],"affiliations":[{"raw_affiliation_string":"Intel Labs Europe, Leixlip, Ireland","institution_ids":["https://openalex.org/I131781684"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041781597","display_name":"Thijs Metsch","orcid":"https://orcid.org/0000-0003-3495-3646"},"institutions":[{"id":"https://openalex.org/I131781684","display_name":"Intel (Ireland)","ror":"https://ror.org/02r5scg33","country_code":"IE","type":"company","lineage":["https://openalex.org/I131781684","https://openalex.org/I1343180700"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Thijs Metsch","raw_affiliation_strings":["Intel Labs Europe, Leixlip, Ireland"],"affiliations":[{"raw_affiliation_string":"Intel Labs Europe, Leixlip, Ireland","institution_ids":["https://openalex.org/I131781684"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035168143","display_name":"Leonard Feehan","orcid":null},"institutions":[{"id":"https://openalex.org/I131781684","display_name":"Intel (Ireland)","ror":"https://ror.org/02r5scg33","country_code":"IE","type":"company","lineage":["https://openalex.org/I131781684","https://openalex.org/I1343180700"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Leonard Feehan","raw_affiliation_strings":["Intel Labs Europe, Leixlip, Ireland"],"affiliations":[{"raw_affiliation_string":"Intel Labs Europe, Leixlip, Ireland","institution_ids":["https://openalex.org/I131781684"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017187278","display_name":"Joe M. Butler","orcid":"https://orcid.org/0000-0001-6781-6408"},"institutions":[{"id":"https://openalex.org/I131781684","display_name":"Intel (Ireland)","ror":"https://ror.org/02r5scg33","country_code":"IE","type":"company","lineage":["https://openalex.org/I131781684","https://openalex.org/I1343180700"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"Joe Butler","raw_affiliation_strings":["Intel Labs Europe, Leixlip, Ireland"],"affiliations":[{"raw_affiliation_string":"Intel Labs Europe, Leixlip, Ireland","institution_ids":["https://openalex.org/I131781684"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021905057"],"corresponding_institution_ids":["https://openalex.org/I131781684"],"apc_list":null,"apc_paid":null,"fwci":0.3927,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.74598995,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"49","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":1.0,"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":1.0,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9995999932289124,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9993000030517578,"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":0.8120490908622742},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7547236680984497},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.7542386054992676},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.7452845573425293},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6713401079177856},{"id":"https://openalex.org/keywords/service","display_name":"Service (business)","score":0.6013985872268677},{"id":"https://openalex.org/keywords/orchestration","display_name":"Orchestration","score":0.5937626957893372},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5180885195732117},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.44621944427490234},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4359986186027527},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3374497890472412},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.18545374274253845},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1259947419166565},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.08626708388328552},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.08391258120536804}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8120490908622742},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7547236680984497},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.7542386054992676},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.7452845573425293},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6713401079177856},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.6013985872268677},{"id":"https://openalex.org/C199168358","wikidata":"https://www.wikidata.org/wiki/Q3367000","display_name":"Orchestration","level":3,"score":0.5937626957893372},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5180885195732117},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.44621944427490234},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4359986186027527},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3374497890472412},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.18545374274253845},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1259947419166565},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.08626708388328552},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.08391258120536804},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C558565934","wikidata":"https://www.wikidata.org/wiki/Q2743","display_name":"Musical","level":2,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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},{"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.2018.8648033","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2018.8648033","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1559956479","https://openalex.org/W1967910577","https://openalex.org/W1973576806","https://openalex.org/W1980189995","https://openalex.org/W2015242646","https://openalex.org/W2025549137","https://openalex.org/W2053391582","https://openalex.org/W2064545653","https://openalex.org/W2072703421","https://openalex.org/W2094273264","https://openalex.org/W2100297710","https://openalex.org/W2114811722","https://openalex.org/W2143603696","https://openalex.org/W2149065651","https://openalex.org/W2157016369","https://openalex.org/W2159715570","https://openalex.org/W2162986857","https://openalex.org/W2335814492","https://openalex.org/W2541557612","https://openalex.org/W2772559154","https://openalex.org/W4240896209","https://openalex.org/W6654414576"],"related_works":["https://openalex.org/W79913212","https://openalex.org/W2883256816","https://openalex.org/W2094884983","https://openalex.org/W2171408034","https://openalex.org/W3003320923","https://openalex.org/W2106140982","https://openalex.org/W2378898096","https://openalex.org/W1603725294","https://openalex.org/W4200394864","https://openalex.org/W2548719852"],"abstract_inverted_index":{"Optimal":[0],"placement":[1,134],"of":[2,6,25,30,106],"service":[3,9,26,110,132],"chains":[4],"(composed":[5],"multiple":[7],"connected":[8],"components)":[10],"on":[11,112],"heterogeneous":[12,48],"cloud/fog":[13,141],"infrastructure":[14,114,137],"is":[15,34,56],"a":[16,22,139,145],"challenging":[17],"problem.":[18],"Even":[19],"when":[20,45],"deploying":[21],"small":[23],"set":[24],"components,":[27],"the":[28,54,82,104,126],"search-space":[29],"all":[31],"possible":[32],"solutions":[33,63,75],"quite":[35],"large.":[36],"Furthermore,":[37],"current":[38],"approaches":[39],"sacrifice":[40],"either":[41],"precision":[42],"or":[43],"scalability":[44],"presented":[46],"with":[47,151],"platform":[49,70],"configurations.":[50],"In":[51],"this":[52],"scenario,":[53],"goal":[55],"to":[57,98],"support":[58],"orchestration":[59],"that":[60,64,87,125],"optimally":[61],"selects":[62],"meet":[65],"performance":[66],"constraints,":[67],"leverages":[68],"differentiating":[69],"features":[71],"and":[72,102,143],"delivers":[73],"these":[74,89],"within":[76],"reasonable":[77],"run-time.":[78],"This":[79],"paper":[80],"presents":[81],"novel":[83],"Hybrid":[84],"Fitness-Utility":[85],"Algorithm":[86],"addresses":[88],"issues":[90],"by":[91],"utilizing":[92],"concepts":[93],"derived":[94],"from":[95],"evolutionary":[96],"algorithms":[97],"dimensionally":[99],"reduce":[100],"complexity,":[101],"incorporates":[103],"utility":[105],"placing":[107],"each":[108],"individual":[109],"component":[111],"an":[113],"resource":[115],"for":[116,138,144],"optimized":[117],"selection":[118],"between":[119],"potential":[120],"solutions.":[121],"Our":[122],"results":[123],"show":[124],"algorithm":[127],"succeeds":[128],"in":[129],"determining":[130],"optimal":[131],"chain":[133],"onto":[135],"distributed":[136],"simulated":[140],"scenario":[142],"live":[146],"multi":[147],"point-of-presence":[148],"OpenStack-based":[149],"testbed":[150],"over":[152],"90":[153],"percent":[154],"confidence.":[155]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}