{"id":"https://openalex.org/W3113627641","doi":"https://doi.org/10.1109/idaacs-sws50031.2020.9297084","title":"QoS-Aware Score-Based Edge Resource Allocation Model","display_name":"QoS-Aware Score-Based Edge Resource Allocation Model","publication_year":2020,"publication_date":"2020-09-17","ids":{"openalex":"https://openalex.org/W3113627641","doi":"https://doi.org/10.1109/idaacs-sws50031.2020.9297084","mag":"3113627641"},"language":"en","primary_location":{"id":"doi:10.1109/idaacs-sws50031.2020.9297084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idaacs-sws50031.2020.9297084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 5th International Symposium on Smart and Wireless Systems within the Conferences on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS-SWS)","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/A5069573315","display_name":"Aly Sakr","orcid":null},"institutions":[{"id":"https://openalex.org/I159743108","display_name":"Dortmund University of Applied Sciences and Arts","ror":"https://ror.org/03dv91853","country_code":"DE","type":"education","lineage":["https://openalex.org/I159743108"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Aly Sakr","raw_affiliation_strings":["Applied Sciences and Arts, Dortmund University, Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Sciences and Arts, Dortmund University, Dortmund, Germany","institution_ids":["https://openalex.org/I159743108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074877216","display_name":"Seenu Mohiyadeen","orcid":null},"institutions":[{"id":"https://openalex.org/I159743108","display_name":"Dortmund University of Applied Sciences and Arts","ror":"https://ror.org/03dv91853","country_code":"DE","type":"education","lineage":["https://openalex.org/I159743108"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Seenu Mohiyadeen","raw_affiliation_strings":["Applied Sciences and Arts, Dortmund University, Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Sciences and Arts, Dortmund University, Dortmund, Germany","institution_ids":["https://openalex.org/I159743108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044743482","display_name":"Bheeshmaraya Vruksharaj","orcid":null},"institutions":[{"id":"https://openalex.org/I159743108","display_name":"Dortmund University of Applied Sciences and Arts","ror":"https://ror.org/03dv91853","country_code":"DE","type":"education","lineage":["https://openalex.org/I159743108"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Bheeshmaraya Vruksharaj","raw_affiliation_strings":["Applied Sciences and Arts, Dortmund University, Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Sciences and Arts, Dortmund University, Dortmund, Germany","institution_ids":["https://openalex.org/I159743108"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088572684","display_name":"Rolf Schuster","orcid":"https://orcid.org/0009-0009-4374-8485"},"institutions":[{"id":"https://openalex.org/I159743108","display_name":"Dortmund University of Applied Sciences and Arts","ror":"https://ror.org/03dv91853","country_code":"DE","type":"education","lineage":["https://openalex.org/I159743108"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Rolf Schuster","raw_affiliation_strings":["Applied Sciences and Arts, Dortmund University, Dortmund, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Applied Sciences and Arts, Dortmund University, Dortmund, Germany","institution_ids":["https://openalex.org/I159743108"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6483,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.734619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9997000098228455,"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/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9997000098228455,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9977999925613403,"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/T11478","display_name":"Caching and Content Delivery","score":0.9839000105857849,"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/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.849500298500061},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7522466778755188},{"id":"https://openalex.org/keywords/edge-computing","display_name":"Edge computing","score":0.7127487063407898},{"id":"https://openalex.org/keywords/edge-device","display_name":"Edge device","score":0.6510580778121948},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.6149340867996216},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.48506036400794983},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4470040798187256},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3907017111778259},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13106191158294678},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.10292443633079529}],"concepts":[{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.849500298500061},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7522466778755188},{"id":"https://openalex.org/C2778456923","wikidata":"https://www.wikidata.org/wiki/Q5337692","display_name":"Edge computing","level":3,"score":0.7127487063407898},{"id":"https://openalex.org/C138236772","wikidata":"https://www.wikidata.org/wiki/Q25098575","display_name":"Edge device","level":3,"score":0.6510580778121948},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.6149340867996216},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.48506036400794983},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4470040798187256},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3907017111778259},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13106191158294678},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.10292443633079529},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/idaacs-sws50031.2020.9297084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/idaacs-sws50031.2020.9297084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 5th International Symposium on Smart and Wireless Systems within the Conferences on Intelligent Data Acquisition and Advanced Computing Systems (IDAACS-SWS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6299999952316284}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2343908699","https://openalex.org/W2344423009","https://openalex.org/W2392395307","https://openalex.org/W2474275862","https://openalex.org/W2508388616","https://openalex.org/W2515329741","https://openalex.org/W2580038204","https://openalex.org/W2766304518","https://openalex.org/W2797285154","https://openalex.org/W2887003841","https://openalex.org/W2900601578","https://openalex.org/W2956422360","https://openalex.org/W2984835264","https://openalex.org/W2985318074","https://openalex.org/W2986646794","https://openalex.org/W3103591951"],"related_works":["https://openalex.org/W4324372666","https://openalex.org/W1939996075","https://openalex.org/W2118113972","https://openalex.org/W4225706866","https://openalex.org/W2914646191","https://openalex.org/W4322761281","https://openalex.org/W4238233472","https://openalex.org/W4313339048","https://openalex.org/W3023564924","https://openalex.org/W2942586735"],"abstract_inverted_index":{"In":[0,46],"edge":[1,26,38,44,50,72,110,129,142,151,165,175,179,190,194,210,215],"computing,":[2],"there":[3],"are":[4,9,156],"two":[5,154],"fundamental":[6,209],"targets":[7,64,211],"that":[8,91,159,199],"in":[10,213],"conflict":[11],"with":[12,192,217],"each":[13,174],"other:":[14],"ensuring":[15],"a":[16,60,94,106,117,131,149],"minimum":[17],"level":[18,172],"of":[19,21,36,109],"Quality":[20],"Service":[22],"(QoS)":[23],"for":[24,40,62,97,105,120,148,173,207],"an":[25,49,169,188],"application,":[27],"and":[28,65,125,144,185,204],"at":[29],"the":[30,34,37,71,81,86,140,160,163,200],"same":[31],"time,":[32],"maximising":[33],"utilisation":[35,166],"infrastructure":[39,191],"all":[41],"applications":[42],"requesting":[43],"services.":[45],"this":[47,92],"paper,":[48,87],"resource":[51,180],"allocation":[52,181],"model":[53,58,161,182,201],"is":[54,83,89,93,116,134,183],"proposed.":[55],"The":[56,136,153,177,196],"proposed":[57,178],"provides":[59],"solution":[61],"both":[63,208],"their":[66],"inherent":[67],"contradiction.":[68],"To":[69,127],"estimate":[70],"application":[73,82,111,121],"QoS,":[74],"End-to-End":[75],"Latency":[76],"(E2EL)":[77],"as":[78,102,104],"measured":[79],"by":[80],"used.":[84],"Throughout":[85],"it":[88],"shown":[90],"viable":[95],"approach":[96,133,137],"many":[98,218],"different":[99],"real-world":[100,214],"scenarios,":[101],"well":[103],"broad":[107],"set":[108],"categories.":[112],"Furthermore,":[113],"E2EL":[114],"measurement":[115],"simple":[118],"concept":[119],"developers":[122],"to":[123],"understand":[124],"implement.":[126],"maximise":[128],"utilisation,":[130],"score-based":[132],"suggested.":[135],"dynamically":[138],"determines":[139],"best":[141],"node":[143],"network":[145],"path":[146],"combination":[147],"given":[150],"application.":[152,176],"solutions":[155],"interconnected":[157],"such":[158],"maximises":[162],"overall":[164],"while":[167],"maintaining":[168],"acceptable":[170],"QoS":[171],"implemented":[184],"tested":[186],"on":[187],"emulated":[189],"challenging":[193],"scenarios.":[195],"experiments":[197],"show":[198],"delivers":[202],"good":[203],"robust":[205],"results":[206],"even":[212],"environments":[216],"uncertainties.":[219]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
