{"id":"https://openalex.org/W3011953326","doi":"https://doi.org/10.1109/nfv-sdn47374.2019.9039983","title":"Characterizing and Understanding the Architectural Implications of Cloudnative Edge NFV Workloads","display_name":"Characterizing and Understanding the Architectural Implications of Cloudnative Edge NFV Workloads","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3011953326","doi":"https://doi.org/10.1109/nfv-sdn47374.2019.9039983","mag":"3011953326"},"language":"en","primary_location":{"id":"doi:10.1109/nfv-sdn47374.2019.9039983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nfv-sdn47374.2019.9039983","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5038105647","display_name":"Jianda Wang","orcid":"https://orcid.org/0000-0003-2936-1013"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianda Wang","raw_affiliation_strings":["Electrical and Computer Engineering Department, The University of Texas at Dallas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, The University of Texas at Dallas","institution_ids":["https://openalex.org/I162577319"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066434078","display_name":"Yang Hu","orcid":"https://orcid.org/0000-0001-6942-4395"},"institutions":[{"id":"https://openalex.org/I162577319","display_name":"The University of Texas at Dallas","ror":"https://ror.org/049emcs32","country_code":"US","type":"education","lineage":["https://openalex.org/I162577319"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Hu","raw_affiliation_strings":["Electrical and Computer Engineering Department, The University of Texas at Dallas"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Department, The University of Texas at Dallas","institution_ids":["https://openalex.org/I162577319"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162577319"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9987000226974487,"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":0.9987000226974487,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9943000078201294,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.9937000274658203,"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":0.6610161066055298},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5255635976791382},{"id":"https://openalex.org/keywords/computer-architecture","display_name":"Computer architecture","score":0.44442230463027954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10742956399917603}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6610161066055298},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5255635976791382},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.44442230463027954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10742956399917603}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/nfv-sdn47374.2019.9039983","is_oa":false,"landing_page_url":"https://doi.org/10.1109/nfv-sdn47374.2019.9039983","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5299999713897705,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1956975192","https://openalex.org/W2013062050","https://openalex.org/W2057709435","https://openalex.org/W2069841875","https://openalex.org/W2097882016","https://openalex.org/W2100591501","https://openalex.org/W2120329321","https://openalex.org/W2137898377","https://openalex.org/W2147802358","https://openalex.org/W2169875292","https://openalex.org/W2287724167","https://openalex.org/W2294823659","https://openalex.org/W2513031390","https://openalex.org/W2528260261","https://openalex.org/W2565334518","https://openalex.org/W2604642036","https://openalex.org/W2782982551","https://openalex.org/W2790027353","https://openalex.org/W2795268038","https://openalex.org/W2922099567","https://openalex.org/W2949059357","https://openalex.org/W2955509390","https://openalex.org/W2963257877","https://openalex.org/W4236755491","https://openalex.org/W4237432268","https://openalex.org/W6682001146","https://openalex.org/W6747955186","https://openalex.org/W6760484575"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"In":[0,93],"responding":[1],"to":[2,23,51,57],"the":[3,12,31,40,48,54,59,67,71,81,87,98,105,111,119,125,131],"fast-varying":[4],"user":[5],"service":[6,33],"requirements":[7,35],"and":[8,20,27,43,101,116,123],"highly":[9],"mixed":[10],"traffics,":[11],"5G":[13,38,106],"network":[14,21,55,78,88],"exploits":[15],"Network":[16],"Function":[17],"Virtualization":[18],"(NFV)":[19],"slicing":[22],"enhance":[24],"its":[25],"functional":[26],"architectural":[28,126],"viability.":[29],"With":[30],"new":[32],"provisioning":[34],"posed":[36],"by":[37,66],"(e.g.":[39],"ultra-low":[41],"latency":[42],"massive":[44],"machine-type":[45],"communication)":[46],"urge":[47],"functionality":[49],"deployment":[50],"offload":[52],"from":[53],"core":[56],"edge,":[58],"various":[60],"demands":[61],"of":[62,76],"QoS":[63],"guarantee":[64],"cast":[65],"diverse":[68],"services":[69],"make":[70],"NFV":[72],"an":[73],"essential":[74],"enabler":[75],"edge":[77,89,121,133],"evolution.":[79],"However,":[80],"newly":[82],"created":[83],"performance":[84],"challenges":[85],"at":[86],"are":[90],"still":[91],"unexplored.":[92],"this":[94],"paper,":[95],"we":[96,109],"investigate":[97],"converged":[99],"RAN":[100],"MEC":[102],"architecture":[103,134],"in":[104],"era.":[107],"Specifically,":[108],"characterize":[110],"collocated":[112],"cloud-native":[113],"workloads":[114],"(RAN":[115],"MEC)":[117],"on":[118],"COTS":[120],"platform":[122],"provide":[124],"implication":[127],"which":[128],"will":[129],"benefit":[130],"future":[132],"design.":[135]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}