{"id":"https://openalex.org/W4412610540","doi":"https://doi.org/10.1109/hpcc64274.2024.00101","title":"Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing","display_name":"Adaptive Configuration Selection for Multi-Model Inference Pipelines in Edge Computing","publication_year":2024,"publication_date":"2024-12-13","ids":{"openalex":"https://openalex.org/W4412610540","doi":"https://doi.org/10.1109/hpcc64274.2024.00101"},"language":"en","primary_location":{"id":"doi:10.1109/hpcc64274.2024.00101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc64274.2024.00101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on High Performance Computing and Communications (HPCC)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2506.02814","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jinhao Sheng","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhao Sheng","raw_affiliation_strings":["Beijing Normal University,Institute of Artificial Intelligence and Future Networks,Zhuhai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Normal University,Institute of Artificial Intelligence and Future Networks,Zhuhai,China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003576332","display_name":"Zhiqing Tang","orcid":"https://orcid.org/0000-0003-2620-4514"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqing Tang","raw_affiliation_strings":["Beijing Normal University,Institute of Artificial Intelligence and Future Networks,Zhuhai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Normal University,Institute of Artificial Intelligence and Future Networks,Zhuhai,China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028160889","display_name":"Jianxiong Guo","orcid":"https://orcid.org/0000-0002-0994-3297"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianxiong Guo","raw_affiliation_strings":["Beijing Normal University,Institute of Artificial Intelligence and Future Networks,Zhuhai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Normal University,Institute of Artificial Intelligence and Future Networks,Zhuhai,China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100428415","display_name":"Tian Wang","orcid":"https://orcid.org/0000-0003-3296-0930"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tian Wang","raw_affiliation_strings":["Beijing Normal University,Institute of Artificial Intelligence and Future Networks,Zhuhai,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Normal University,Institute of Artificial Intelligence and Future Networks,Zhuhai,China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.5224,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67523252,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"729","last_page":"736"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.8673999905586243,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.8673999905586243,"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/T10679","display_name":"Service-Oriented Architecture and Web Services","score":0.8352000117301941,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7484638094902039},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.6655769348144531},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6295775771141052},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6095259785652161},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5610322952270508},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.4957941472530365},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3841080069541931},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26936089992523193},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09534314274787903}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7484638094902039},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.6655769348144531},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6295775771141052},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6095259785652161},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5610322952270508},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.4957941472530365},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3841080069541931},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26936089992523193},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09534314274787903},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/hpcc64274.2024.00101","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpcc64274.2024.00101","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on High Performance Computing and Communications (HPCC)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2506.02814","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.02814","pdf_url":"https://arxiv.org/pdf/2506.02814","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2506.02814","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2506.02814","pdf_url":"https://arxiv.org/pdf/2506.02814","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W1548644355","https://openalex.org/W2064675550","https://openalex.org/W2070164835","https://openalex.org/W2105604586","https://openalex.org/W2122731117","https://openalex.org/W2194775991","https://openalex.org/W2416799949","https://openalex.org/W2895688688","https://openalex.org/W2928897890","https://openalex.org/W2966679901","https://openalex.org/W3004421451","https://openalex.org/W3023238978","https://openalex.org/W3095488153","https://openalex.org/W3137147200","https://openalex.org/W3162157550","https://openalex.org/W3217119770","https://openalex.org/W4283727273","https://openalex.org/W4302931966","https://openalex.org/W4312060067","https://openalex.org/W4368353274","https://openalex.org/W4388561289","https://openalex.org/W4394698873","https://openalex.org/W4395481220","https://openalex.org/W4396239906","https://openalex.org/W6683204974","https://openalex.org/W6741002519"],"related_works":["https://openalex.org/W1995889332","https://openalex.org/W3104163240","https://openalex.org/W2055243143","https://openalex.org/W3008693296","https://openalex.org/W4405313599","https://openalex.org/W4324372666","https://openalex.org/W4225706866","https://openalex.org/W2914646191","https://openalex.org/W3023564924","https://openalex.org/W2942586735"],"abstract_inverted_index":{"The":[0],"growing":[1],"demand":[2],"for":[3,11,56,119,145],"real-time":[4],"processing":[5],"tasks":[6],"is":[7],"driving":[8],"the":[9,65,70],"need":[10],"multi-model":[12,58],"inference":[13,44,59],"pipelines":[14,22,147],"on":[15,43,94,116],"edge":[16],"devices.":[17],"However,":[18],"cost-effectively":[19],"deploying":[20],"these":[21],"while":[23,138],"optimizing":[24],"Quality":[25],"of":[26],"Service":[27],"(QoS)":[28],"and":[29,46,74,88,103,141],"costs":[30,140],"poses":[31],"significant":[32],"challenges.":[33],"Existing":[34],"solutions":[35],"often":[36],"neglect":[37],"device":[38,75],"resource":[39,76],"constraints,":[40],"focusing":[41],"mainly":[42],"accuracy":[45],"cost":[47],"efficiency.":[48],"To":[49],"address":[50],"this,":[51],"we":[52,108],"develop":[53],"a":[54,81,89,110,127],"framework":[55],"configuring":[57],"pipelines.":[60],"Specifically:":[61],"1)":[62],"We":[63,79],"model":[64,92],"decision-making":[66,143],"problem":[67],"by":[68],"considering":[69],"pipeline\u2019s":[71],"QoS,":[72],"costs,":[73],"limitations.":[77],"2)":[78],"create":[80],"feature":[82],"extraction":[83],"module":[84],"using":[85],"residual":[86],"networks":[87],"load":[90],"prediction":[91],"based":[93,115],"Long":[95],"Short-Term":[96],"Memory":[97],"(LSTM)":[98],"to":[99,149],"gather":[100],"comprehensive":[101],"node":[102],"pipeline":[104],"status":[105],"information.":[106],"Then,":[107],"implement":[109],"Reinforcement":[111],"Learning":[112],"(RL)":[113],"algorithm":[114],"policy":[117],"gradients":[118],"online":[120],"configuration":[121],"decisions.":[122],"3)":[123],"Experiments":[124],"conducted":[125],"in":[126],"real":[128],"Kubernetes":[129],"cluster":[130],"show":[131],"that":[132],"our":[133],"approach":[134],"significantly":[135],"improve":[136],"QoS":[137],"reducing":[139],"shorten":[142],"time":[144],"complex":[146],"compared":[148],"baseline":[150],"algorithms.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}
