{"id":"https://openalex.org/W3046191016","doi":"https://doi.org/10.1109/icc40277.2020.9149374","title":"HybridSketch: A Memory-centric Precise Approach for Flow Measurement","display_name":"HybridSketch: A Memory-centric Precise Approach for Flow Measurement","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3046191016","doi":"https://doi.org/10.1109/icc40277.2020.9149374","mag":"3046191016"},"language":"en","primary_location":{"id":"doi:10.1109/icc40277.2020.9149374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9149374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","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/A5101455357","display_name":"Xiaolei Zhao","orcid":"https://orcid.org/0000-0002-5414-1162"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaolei Zhao","raw_affiliation_strings":["School of computer science, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of computer science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028935020","display_name":"Mei Wen","orcid":null},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mei Wen","raw_affiliation_strings":["School of computer science, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of computer science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072361503","display_name":"Minjin Tang","orcid":"https://orcid.org/0009-0000-2254-4912"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Minjin Tang","raw_affiliation_strings":["School of computer science, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of computer science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084512633","display_name":"Qun Huang","orcid":"https://orcid.org/0000-0002-2387-6131"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210090176","display_name":"Institute of Computing Technology","ror":"https://ror.org/0090r4d87","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210090176"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Huang","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China","institution_ids":["https://openalex.org/I4210090176","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100710936","display_name":"Chunyuan Zhang","orcid":"https://orcid.org/0000-0002-0944-2708"},"institutions":[{"id":"https://openalex.org/I170215575","display_name":"National University of Defense Technology","ror":"https://ror.org/05d2yfz11","country_code":"CN","type":"education","lineage":["https://openalex.org/I170215575"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunyuan Zhang","raw_affiliation_strings":["School of computer science, National University of Defense Technology, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of computer science, National University of Defense Technology, Changsha, China","institution_ids":["https://openalex.org/I170215575"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4862,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.6810866,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9983999729156494,"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9983999729156494,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9969000220298767,"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9947999715805054,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8211648464202881},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.7523337602615356},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7504357695579529},{"id":"https://openalex.org/keywords/memory-bandwidth","display_name":"Memory bandwidth","score":0.5875604152679443},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.5526566505432129},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.4933682978153229},{"id":"https://openalex.org/keywords/flat-memory-model","display_name":"Flat memory model","score":0.4339137673377991},{"id":"https://openalex.org/keywords/high-memory","display_name":"High memory","score":0.4294314980506897},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.34334003925323486},{"id":"https://openalex.org/keywords/computer-hardware","display_name":"Computer hardware","score":0.3279896378517151},{"id":"https://openalex.org/keywords/semiconductor-memory","display_name":"Semiconductor memory","score":0.31533125042915344},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.29399681091308594},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.2847878932952881},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1962261199951172}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8211648464202881},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.7523337602615356},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7504357695579529},{"id":"https://openalex.org/C188045654","wikidata":"https://www.wikidata.org/wiki/Q17148339","display_name":"Memory bandwidth","level":2,"score":0.5875604152679443},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.5526566505432129},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.4933682978153229},{"id":"https://openalex.org/C57863822","wikidata":"https://www.wikidata.org/wiki/Q905488","display_name":"Flat memory model","level":4,"score":0.4339137673377991},{"id":"https://openalex.org/C2781357197","wikidata":"https://www.wikidata.org/wiki/Q5757597","display_name":"High memory","level":2,"score":0.4294314980506897},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.34334003925323486},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.3279896378517151},{"id":"https://openalex.org/C98986596","wikidata":"https://www.wikidata.org/wiki/Q1143031","display_name":"Semiconductor memory","level":2,"score":0.31533125042915344},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.29399681091308594},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.2847878932952881},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1962261199951172},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icc40277.2020.9149374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icc40277.2020.9149374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICC 2020 - 2020 IEEE International Conference on Communications (ICC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W139562302","https://openalex.org/W1553409264","https://openalex.org/W2010973140","https://openalex.org/W2055763473","https://openalex.org/W2080234606","https://openalex.org/W2126257795","https://openalex.org/W2129978406","https://openalex.org/W2305788608","https://openalex.org/W2439904216","https://openalex.org/W2487095677","https://openalex.org/W2605823630","https://openalex.org/W2737988660","https://openalex.org/W2743723076","https://openalex.org/W2834288129","https://openalex.org/W2864823780","https://openalex.org/W2900809069","https://openalex.org/W2950087731","https://openalex.org/W2967106834","https://openalex.org/W2969998124","https://openalex.org/W6633322224","https://openalex.org/W6698379459"],"related_works":["https://openalex.org/W2526783553","https://openalex.org/W2296275612","https://openalex.org/W4312264564","https://openalex.org/W2043352873","https://openalex.org/W2753615087","https://openalex.org/W2140386982","https://openalex.org/W2999459628","https://openalex.org/W3048967625","https://openalex.org/W2199439667","https://openalex.org/W2612219836"],"abstract_inverted_index":{"As":[0],"network":[1,80],"bandwidth":[2,14],"has":[3],"rapidly":[4,67],"developed,":[5],"due":[6,24],"to":[7,25,59,122,125],"the":[8,16,34,39,64,69,74,77,89,101,106,147],"high":[9],"occupancy":[10],"of":[11,76,105,141,150,158],"memory":[12,28,44,71,90,102,120,159],"and":[13,30,49,55,103,117],"required,":[15],"Sketch":[17,40],"structure":[18],"is":[19],"favored":[20],"by":[21,113],"some":[22,50],"researchers":[23],"its":[26],"limited":[27],"usage":[29],"simple":[31],"operation.":[32],"But":[33],"accuracy":[35],"will":[36,72],"decrease":[37],"when":[38],"system":[41,82,107],"occupies":[42],"less":[43],"space.":[45],"Traditional":[46],"sketch":[47],"algorithms":[48,54],"other":[51],"specially":[52],"designed":[53],"structures":[56],"are":[57],"striving":[58],"improve":[60],"accuracy.":[61],"However,":[62],"with":[63,108,152],"flow":[65],"rate":[66],"increasing,":[68],"on-chip":[70],"be":[73],"bottleneck":[75],"system.":[78],"Our":[79],"measurement":[81,111],"achieve":[83,126],"good":[84],"results":[85,130],"focusing":[86],"more":[87],"on":[88,100],"usage.":[91],"We":[92],"proposes":[93],"a":[94],"hybrid":[95],"method,":[96],"HybridSketch,":[97],"which":[98],"focuses":[99],"precision":[104,151],"mixing":[109],"two":[110],"methods":[112],"quantitatively":[114],"analyzing,":[115],"modeling":[116],"allocating":[118],"appropriate":[119],"space":[121],"each":[123],"method":[124,134],"better":[127],"results.":[128],"Experimental":[129],"show":[131],"that":[132],"our":[133],"can":[135,145],"provide":[136,146],"10\u00d7":[137],"improvement":[138,155],"in":[139,156],"terms":[140,157],"precision,":[142],"moreover,":[143],"HybridSketch":[144],"same":[148],"level":[149],"achieving":[153],"24\u00d7":[154],"size.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}