{"id":"https://openalex.org/W7140542042","doi":"https://doi.org/10.1109/ieeeconf67917.2025.11443757","title":"A Constrained RL Approach for Cost-Efficient Delivery of Latency-Sensitive Applications","display_name":"A Constrained RL Approach for Cost-Efficient Delivery of Latency-Sensitive Applications","publication_year":2025,"publication_date":"2025-10-26","ids":{"openalex":"https://openalex.org/W7140542042","doi":"https://doi.org/10.1109/ieeeconf67917.2025.11443757"},"language":null,"primary_location":{"id":"doi:10.1109/ieeeconf67917.2025.11443757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf67917.2025.11443757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 59th Asilomar Conference on Signals, Systems, and Computers","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":null,"display_name":"Ozan Ayg\u00fcn","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ozan Ayg\u00fcn","raw_affiliation_strings":["New York University,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University,NY,USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Vincenzo Norman Vitale","orcid":null},"institutions":[{"id":"https://openalex.org/I71267560","display_name":"University of Naples Federico II","ror":"https://ror.org/05290cv24","country_code":"IT","type":"education","lineage":["https://openalex.org/I71267560"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Vincenzo Norman Vitale","raw_affiliation_strings":["Universit&#x00E0; Degli Studi Napoli Federico II,Naples,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E0; Degli Studi Napoli Federico II,Naples,Italy","institution_ids":["https://openalex.org/I71267560"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Antonia M. Tulino","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Antonia M. Tulino","raw_affiliation_strings":["New York University,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University,NY,USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Hao Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I1343180700","display_name":"Intel (United States)","ror":"https://ror.org/01ek73717","country_code":"US","type":"company","lineage":["https://openalex.org/I1343180700"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Feng","raw_affiliation_strings":["Intel Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Intel Labs","institution_ids":["https://openalex.org/I1343180700"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Elza Erkip","orcid":null},"institutions":[{"id":"https://openalex.org/I57206974","display_name":"New York University","ror":"https://ror.org/0190ak572","country_code":"US","type":"education","lineage":["https://openalex.org/I57206974"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elza Erkip","raw_affiliation_strings":["New York University,NY,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"New York University,NY,USA","institution_ids":["https://openalex.org/I57206974"]}]},{"author_position":"last","author":{"id":null,"display_name":"Jaime Llorca","orcid":null},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Jaime Llorca","raw_affiliation_strings":["Universit&#x00E0; Degli Studi di Trento,Trento,Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit&#x00E0; Degli Studi di Trento,Trento,Italy","institution_ids":["https://openalex.org/I193223587"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.80018305,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1817","last_page":"1823"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.11089999973773956,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.11089999973773956,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10639","display_name":"Advanced Software Engineering Methodologies","score":0.10350000113248825,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T12031","display_name":"Speech and dialogue systems","score":0.045099999755620956,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/component","display_name":"Component (thermodynamics)","score":0.28040000796318054},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2728999853134155},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.2492000013589859},{"id":"https://openalex.org/keywords/control-system","display_name":"Control system","score":0.24560000002384186},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.2345999926328659}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5605000257492065},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.28040000796318054},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2728999853134155},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.2492000013589859},{"id":"https://openalex.org/C17500928","wikidata":"https://www.wikidata.org/wiki/Q959968","display_name":"Control system","level":2,"score":0.24560000002384186},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24469999969005585},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.2345999926328659},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.23250000178813934},{"id":"https://openalex.org/C115901376","wikidata":"https://www.wikidata.org/wiki/Q184199","display_name":"Automation","level":2,"score":0.22949999570846558},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.21690000593662262}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieeeconf67917.2025.11443757","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieeeconf67917.2025.11443757","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 59th Asilomar Conference on Signals, Systems, and Computers","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W2012642278","https://openalex.org/W2415697701","https://openalex.org/W2565612488","https://openalex.org/W2778608664","https://openalex.org/W2943717074","https://openalex.org/W3048983622","https://openalex.org/W3100293451","https://openalex.org/W3156653093","https://openalex.org/W3206584591","https://openalex.org/W3211304744","https://openalex.org/W4226375322","https://openalex.org/W4229020161","https://openalex.org/W4301852635"],"related_works":[],"abstract_inverted_index":{"Next-generation":[0],"networks":[1],"aim":[2],"to":[3,7,24,51,97,137],"provide":[4],"performance":[5],"guarantees":[6],"real-time":[8],"interactive":[9],"services":[10],"that":[11,115],"require":[12],"timely":[13,106,122],"and":[14,56,89,131],"cost-efficient":[15],"packet":[16,123],"delivery.":[17],"In":[18],"this":[19],"context,":[20],"the":[21,33,77,116],"goal":[22],"is":[23],"reliably":[25],"deliver":[26],"packets":[27],"with":[28,70],"strict":[29,71],"deadlines":[30],"imposed":[31],"by":[32],"application":[34],"while":[35,104],"minimizing":[36],"overall":[37],"resource":[38,101],"allocation":[39,102],"cost.":[40],"A":[41],"large":[42],"body":[43],"of":[44],"work":[45],"has":[46],"leveraged":[47],"stochastic":[48],"optimization":[49],"techniques":[50,96],"design":[52],"efficient":[53],"dynamic":[54],"routing":[55],"scheduling":[57],"solutions":[58],"under":[59],"average":[60],"delay":[61,73],"constraints;":[62],"however,":[63],"these":[64],"methods":[65],"fall":[66,129],"short":[67],"when":[68,126],"faced":[69],"per-packet":[72],"requirements.":[74],"We":[75],"formulate":[76],"minimum-cost":[78],"delay-constrained":[79],"network":[80],"control":[81],"problem":[82],"as":[83],"a":[84,109],"constrained":[85,91],"Markov":[86],"decision":[87],"process":[88],"utilize":[90],"deep":[92],"reinforcement":[93],"learning":[94],"(CDRL)":[95],"effectively":[98],"minimize":[99],"total":[100],"cost":[103,135],"maintaining":[105],"throughput":[107],"above":[108],"target":[110],"reliability":[111],"level.":[112],"Results":[113],"indicate":[114],"proposed":[117],"CDRL-based":[118],"solution":[119],"can":[120],"ensure":[121],"delivery":[124],"even":[125],"existing":[127],"baselines":[128],"short,":[130],"it":[132],"achieves":[133],"lower":[134],"compared":[136],"other":[138],"throughput-maximizing":[139],"methods.":[140]},"counts_by_year":[],"updated_date":"2026-03-28T06:11:35.319607","created_date":"2026-03-10T00:00:00"}
