{"id":"https://openalex.org/W4388204503","doi":"https://doi.org/10.1145/3616388.3617516","title":"Learning Optimal Edge Processing with Offloading and Energy Harvesting","display_name":"Learning Optimal Edge Processing with Offloading and Energy Harvesting","publication_year":2023,"publication_date":"2023-10-26","ids":{"openalex":"https://openalex.org/W4388204503","doi":"https://doi.org/10.1145/3616388.3617516"},"language":"en","primary_location":{"id":"doi:10.1145/3616388.3617516","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616388.3617516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://hal.science/hal-04022507/document","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048911051","display_name":"Andrea Fox","orcid":"https://orcid.org/0009-0003-8629-6470"},"institutions":[{"id":"https://openalex.org/I198415970","display_name":"Universit\u00e9 d'Avignon et des Pays de Vaucluse","ror":"https://ror.org/00mfpxb84","country_code":"FR","type":"education","lineage":["https://openalex.org/I198415970"]},{"id":"https://openalex.org/I4210119991","display_name":"Laboratoire Informatique d'Avignon","ror":"https://ror.org/02n399288","country_code":"FR","type":"facility","lineage":["https://openalex.org/I198415970","https://openalex.org/I4210119991"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Andrea Fox","raw_affiliation_strings":["University of Avignon, Avignon , France","LIA - Laboratoire Informatique d'Avignon (339 Chemin des Meinajaries Agroparc BP 1228 84911 Avignon cedex 9 - France)"],"affiliations":[{"raw_affiliation_string":"University of Avignon, Avignon , France","institution_ids":["https://openalex.org/I198415970"]},{"raw_affiliation_string":"LIA - Laboratoire Informatique d'Avignon (339 Chemin des Meinajaries Agroparc BP 1228 84911 Avignon cedex 9 - France)","institution_ids":["https://openalex.org/I4210119991"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038365789","display_name":"Francesco De Pellegrini","orcid":"https://orcid.org/0000-0002-1370-9401"},"institutions":[{"id":"https://openalex.org/I198415970","display_name":"Universit\u00e9 d'Avignon et des Pays de Vaucluse","ror":"https://ror.org/00mfpxb84","country_code":"FR","type":"education","lineage":["https://openalex.org/I198415970"]},{"id":"https://openalex.org/I4210119991","display_name":"Laboratoire Informatique d'Avignon","ror":"https://ror.org/02n399288","country_code":"FR","type":"facility","lineage":["https://openalex.org/I198415970","https://openalex.org/I4210119991"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Francesco De Pellegrini","raw_affiliation_strings":["University of Avignon, Avignon , France","LIA - Laboratoire Informatique d'Avignon (339 Chemin des Meinajaries Agroparc BP 1228 84911 Avignon cedex 9 - France)"],"affiliations":[{"raw_affiliation_string":"University of Avignon, Avignon , France","institution_ids":["https://openalex.org/I198415970"]},{"raw_affiliation_string":"LIA - Laboratoire Informatique d'Avignon (339 Chemin des Meinajaries Agroparc BP 1228 84911 Avignon cedex 9 - France)","institution_ids":["https://openalex.org/I4210119991"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090818425","display_name":"Eitan Altman","orcid":"https://orcid.org/0000-0002-2177-9979"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210119991","display_name":"Laboratoire Informatique d'Avignon","ror":"https://ror.org/02n399288","country_code":"FR","type":"facility","lineage":["https://openalex.org/I198415970","https://openalex.org/I4210119991"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Eitan Altman","raw_affiliation_strings":["INRIA, Sophia-Antipolis, France","LIA - Laboratoire Informatique d'Avignon (339 Chemin des Meinajaries Agroparc BP 1228 84911 Avignon cedex 9 - France)","NEO - Network Engineering and Operations (2004 route des Lucioles BP 93 06902 Sophia Antipolis - France)"],"affiliations":[{"raw_affiliation_string":"INRIA, Sophia-Antipolis, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"LIA - Laboratoire Informatique d'Avignon (339 Chemin des Meinajaries Agroparc BP 1228 84911 Avignon cedex 9 - France)","institution_ids":["https://openalex.org/I4210119991"]},{"raw_affiliation_string":"NEO - Network Engineering and Operations (2004 route des Lucioles BP 93 06902 Sophia Antipolis - France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5048911051"],"corresponding_institution_ids":["https://openalex.org/I198415970","https://openalex.org/I4210119991"],"apc_list":null,"apc_paid":null,"fwci":0.1987,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52855879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"83","last_page":"92"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13553","display_name":"Age of Information Optimization","score":1.0,"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/T13553","display_name":"Age of Information Optimization","score":1.0,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.9916999936103821,"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/T11392","display_name":"Energy Harvesting in Wireless Networks","score":0.9865999817848206,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8055450916290283},{"id":"https://openalex.org/keywords/polling","display_name":"Polling","score":0.7766581773757935},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6638364195823669},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.5962005853652954},{"id":"https://openalex.org/keywords/polling-system","display_name":"Polling system","score":0.5705785751342773},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5330051183700562},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5096666812896729},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5011086463928223},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.45344027876853943},{"id":"https://openalex.org/keywords/energy-harvesting","display_name":"Energy harvesting","score":0.4394797682762146},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.43459299206733704},{"id":"https://openalex.org/keywords/battery","display_name":"Battery (electricity)","score":0.43227308988571167},{"id":"https://openalex.org/keywords/energy","display_name":"Energy (signal processing)","score":0.42228731513023376},{"id":"https://openalex.org/keywords/monotone-polygon","display_name":"Monotone polygon","score":0.4195065200328827},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.3970431089401245},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23543012142181396},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.1625722050666809},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.09995889663696289},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.09005999565124512}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8055450916290283},{"id":"https://openalex.org/C204854418","wikidata":"https://www.wikidata.org/wiki/Q1362921","display_name":"Polling","level":2,"score":0.7766581773757935},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6638364195823669},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.5962005853652954},{"id":"https://openalex.org/C87190583","wikidata":"https://www.wikidata.org/wiki/Q17097337","display_name":"Polling system","level":3,"score":0.5705785751342773},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5330051183700562},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5096666812896729},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5011086463928223},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.45344027876853943},{"id":"https://openalex.org/C101518730","wikidata":"https://www.wikidata.org/wiki/Q930236","display_name":"Energy harvesting","level":3,"score":0.4394797682762146},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.43459299206733704},{"id":"https://openalex.org/C555008776","wikidata":"https://www.wikidata.org/wiki/Q267298","display_name":"Battery (electricity)","level":3,"score":0.43227308988571167},{"id":"https://openalex.org/C186370098","wikidata":"https://www.wikidata.org/wiki/Q442787","display_name":"Energy (signal processing)","level":2,"score":0.42228731513023376},{"id":"https://openalex.org/C2834757","wikidata":"https://www.wikidata.org/wiki/Q4925424","display_name":"Monotone polygon","level":2,"score":0.4195065200328827},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.3970431089401245},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23543012142181396},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.1625722050666809},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.09995889663696289},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.09005999565124512},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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":2,"locations":[{"id":"doi:10.1145/3616388.3617516","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3616388.3617516","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-04022507v2","is_oa":true,"landing_page_url":"https://hal.science/hal-04022507","pdf_url":"https://hal.science/hal-04022507/document","source":{"id":"https://openalex.org/S4406922452","display_name":"SPIRE - Sciences Po Institutional REpository","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MSWiM '23: Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems, Oct 2023, Montreal Quebec Canada, Canada. pp.83-92, ⟨10.1145/3616388.3617516⟩","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:HAL:hal-04022507v2","is_oa":true,"landing_page_url":"https://hal.science/hal-04022507","pdf_url":"https://hal.science/hal-04022507/document","source":{"id":"https://openalex.org/S4406922452","display_name":"SPIRE - Sciences Po Institutional REpository","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"MSWiM '23: Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems, Oct 2023, Montreal Quebec Canada, Canada. pp.83-92, ⟨10.1145/3616388.3617516⟩","raw_type":"Conference papers"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8700000047683716,"id":"https://metadata.un.org/sdg/7"}],"awards":[{"id":"https://openalex.org/G4826685196","display_name":null,"funder_award_id":"ANR-21-CE25-0013","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G8859643717","display_name":null,"funder_award_id":"ANR-21-CE25-0013","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4388204503.pdf"},"referenced_works_count":19,"referenced_works":["https://openalex.org/W2034094272","https://openalex.org/W2065699608","https://openalex.org/W2084091044","https://openalex.org/W2195423816","https://openalex.org/W2235056388","https://openalex.org/W2316545219","https://openalex.org/W2887017691","https://openalex.org/W2945729351","https://openalex.org/W2963318081","https://openalex.org/W3007900030","https://openalex.org/W3012969937","https://openalex.org/W3024681024","https://openalex.org/W3092252111","https://openalex.org/W3133786504","https://openalex.org/W3137257456","https://openalex.org/W3197912532","https://openalex.org/W4234468949","https://openalex.org/W4295347215","https://openalex.org/W4300395467"],"related_works":["https://openalex.org/W2013501766","https://openalex.org/W1829880288","https://openalex.org/W2542051847","https://openalex.org/W1981084347","https://openalex.org/W105848694","https://openalex.org/W2804935743","https://openalex.org/W3120926882","https://openalex.org/W2359680786","https://openalex.org/W2032536062","https://openalex.org/W2062739730"],"abstract_inverted_index":{"Modern":[0],"portable":[1],"devices":[2,40,62],"can":[3],"execute":[4],"increasingly":[5],"sophisticated":[6],"AI":[7],"models":[8],"on":[9],"sensed":[10],"data.":[11],"The":[12,66,106],"complexity":[13],"of":[14,30,50,69,120,128,137],"such":[15],"processing":[16,43,123],"tasks":[17],"is":[18,54,108,140],"data-dependent":[19],"and":[20,44,117,124,161],"has":[21],"relevant":[22],"energy":[23,45,130],"cost.":[24],"This":[25],"work":[26],"develops":[27],"an":[28,57,70],"Age":[29],"Information":[31],"markovian":[32],"model":[33],"for":[34,73,91],"a":[35,74,84,98],"system":[36,77,159],"where":[37],"multiple":[38],"battery-operated":[39],"perform":[41],"data":[42,121],"harvesting":[46,131],"in":[47],"parallel.":[48],"Part":[49],"their":[51],"computational":[52],"burden":[53],"offloaded":[55],"to":[56,82,101,110,125],"edge":[58],"server":[59,139],"which":[60],"polls":[61],"at":[63],"given":[64],"rate.":[65],"structural":[67],"properties":[68,160],"optimal":[71,104],"policy":[72,145],"single":[75],"device-server":[76],"are":[78],"derived.":[79],"They":[80],"permit":[81],"define":[83],"new":[85],"model-free":[86],"reinforcement":[87],"learning":[88,166],"method":[89,107],"specialized":[90],"monotone":[92],"policies,":[93],"namely":[94],"Ordered":[95],"Q-Learning,":[96],"providing":[97],"fast":[99],"procedure":[100],"learn":[102],"the":[103,111,115,118,126,129,134,138,158,164],"policy.":[105],"oblivious":[109],"devices'":[112],"battery":[113],"capacities,":[114],"cost":[116],"value":[119],"batch":[122],"dynamics":[127],"process.":[132],"Finally,":[133],"polling":[135],"strategy":[136],"optimized":[141],"by":[142],"combining":[143],"this":[144],"improvement":[146],"technique":[147],"with":[148],"stochastic":[149],"approximation":[150],"methods.":[151],"Extensive":[152],"numerical":[153],"results":[154],"provide":[155],"insight":[156],"into":[157],"demonstrate":[162],"that":[163],"proposed":[165],"algorithms":[167],"outperform":[168],"existing":[169],"baselines.":[170]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}