{"id":"https://openalex.org/W7135153835","doi":"https://doi.org/10.1109/ton.2026.3672801","title":"HiMon: Achieving Low-Cost and High-Accuracy Network Monitoring via Hierarchical Sketching","display_name":"HiMon: Achieving Low-Cost and High-Accuracy Network Monitoring via Hierarchical Sketching","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7135153835","doi":"https://doi.org/10.1109/ton.2026.3672801"},"language":null,"primary_location":{"id":"doi:10.1109/ton.2026.3672801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ton.2026.3672801","pdf_url":null,"source":{"id":"https://openalex.org/S5407042750","display_name":"IEEE Transactions on Networking","issn_l":"2998-4157","issn":["2998-4157"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Networking","raw_type":"journal-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":"Yuchen Zhang","orcid":"https://orcid.org/0000-0003-3315-2847"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuchen Zhang","raw_affiliation_strings":["College of Control Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0003-3315-2847","affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081043543","display_name":"Zhenyu Wen","orcid":"https://orcid.org/0000-0002-2914-912X"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhenyu Wen","raw_affiliation_strings":["Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-2914-912X","affiliations":[{"raw_affiliation_string":"Institute of Cyberspace Security, Zhejiang University of Technology, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I55712492"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shibo He","orcid":"https://orcid.org/0000-0002-1505-6766"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shibo He","raw_affiliation_strings":["College of Control Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-1505-6766","affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiang Chen","orcid":"https://orcid.org/0000-0002-0249-9664"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Chen","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0002-0249-9664","affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074511454","display_name":"Chaojie Gu","orcid":"https://orcid.org/0000-0003-2153-811X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaojie Gu","raw_affiliation_strings":["College of Control Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0003-2153-811X","affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089864322","display_name":"J K Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiming Chen","raw_affiliation_strings":["College of Control Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, China"],"raw_orcid":"https://orcid.org/0000-0003-3155-3145","affiliations":[{"raw_affiliation_string":"College of Control Science and Engineering, Zhejiang University, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":0.25025277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"34","issue":null,"first_page":"4154","last_page":"4168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.6976000070571899,"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/T10714","display_name":"Software-Defined Networks and 5G","score":0.6976000070571899,"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":0.19089999794960022,"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":0.015599999576807022,"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/latency","display_name":"Latency (audio)","score":0.5360000133514404},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.5309000015258789},{"id":"https://openalex.org/keywords/sketch","display_name":"Sketch","score":0.49399998784065247},{"id":"https://openalex.org/keywords/data-aggregator","display_name":"Data aggregator","score":0.4546000063419342},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41670000553131104},{"id":"https://openalex.org/keywords/bandwidth","display_name":"Bandwidth (computing)","score":0.3801000118255615},{"id":"https://openalex.org/keywords/data-processing","display_name":"Data processing","score":0.3621000051498413},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.32589998841285706}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7774999737739563},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5885999798774719},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5360000133514404},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.5309000015258789},{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.49399998784065247},{"id":"https://openalex.org/C82578977","wikidata":"https://www.wikidata.org/wiki/Q16773055","display_name":"Data aggregator","level":3,"score":0.4546000063419342},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4268999993801117},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41670000553131104},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.3801000118255615},{"id":"https://openalex.org/C138827492","wikidata":"https://www.wikidata.org/wiki/Q6661985","display_name":"Data processing","level":2,"score":0.3621000051498413},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3398999869823456},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.32589998841285706},{"id":"https://openalex.org/C70061542","wikidata":"https://www.wikidata.org/wiki/Q989016","display_name":"Distributed database","level":2,"score":0.3091000020503998},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.30480000376701355},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.29339998960494995},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C33762810","wikidata":"https://www.wikidata.org/wiki/Q461671","display_name":"Data integrity","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.2784000039100647},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2700999975204468},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.2639999985694885},{"id":"https://openalex.org/C46451311","wikidata":"https://www.wikidata.org/wiki/Q262550","display_name":"Traffic shaping","level":4,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ton.2026.3672801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ton.2026.3672801","pdf_url":null,"source":{"id":"https://openalex.org/S5407042750","display_name":"IEEE Transactions on Networking","issn_l":"2998-4157","issn":["2998-4157"],"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":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Networking","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2202871882","display_name":null,"funder_award_id":"62472387","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8844761249","display_name":null,"funder_award_id":"2025C02263","funder_id":"https://openalex.org/F4320317779","funder_display_name":"Zhejiang\u00a0Provincial\u00a0Postdoctoral\u00a0Science\u00a0Foundation"},{"id":"https://openalex.org/G8894258661","display_name":null,"funder_award_id":"LDQ24F020001","funder_id":"https://openalex.org/F4320317779","funder_display_name":"Zhejiang\u00a0Provincial\u00a0Postdoctoral\u00a0Science\u00a0Foundation"}],"funders":[{"id":"https://openalex.org/F4320317779","display_name":"Zhejiang\u00a0Provincial\u00a0Postdoctoral\u00a0Science\u00a0Foundation","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2033538894","https://openalex.org/W2107710541","https://openalex.org/W2109885200","https://openalex.org/W2119558533","https://openalex.org/W2161145409","https://openalex.org/W2162778980","https://openalex.org/W2164998096","https://openalex.org/W2169927847","https://openalex.org/W2396324716","https://openalex.org/W2430218455","https://openalex.org/W2466040765","https://openalex.org/W2501089562","https://openalex.org/W2605823630","https://openalex.org/W2613694343","https://openalex.org/W2792044364","https://openalex.org/W2834288129","https://openalex.org/W2900975033","https://openalex.org/W3016354376","https://openalex.org/W3108496275","https://openalex.org/W4242648275","https://openalex.org/W4283218652","https://openalex.org/W4381946560","https://openalex.org/W4382796889","https://openalex.org/W4385283793","https://openalex.org/W4401508668"],"related_works":[],"abstract_inverted_index":{"As":[0],"data":[1,17,31,88,103,125],"centers":[2],"continue":[3],"to":[4,42,79,89,104,132,164],"expand":[5],"in":[6,30,54,194,201,210],"size":[7],"and":[8,50,66,85,114,127,141,175,206],"complexity,":[9],"obtaining":[10],"global":[11,108],"traffic":[12,73,109,137,195],"insights":[13],"necessitates":[14],"aggregating":[15],"statistical":[16,83],"from":[18],"numerous":[19],"individual":[20,39],"nodes,":[21,120],"a":[22,64,90,106,191,198,207],"process":[23],"critical":[24],"for":[25,71],"effective":[26],"network":[27],"management.":[28],"However,":[29],"centers,":[32],"existing":[33],"approaches":[34],"often":[35],"rely":[36],"on":[37,118,147],"querying":[38],"endpoint":[40],"hosts":[41],"gather":[43],"cluster-wide":[44],"statistics,":[45],"which":[46,154],"introduces":[47],"substantial":[48],"latency":[49],"reduces":[51],"efficiency,":[52,197],"particularly":[53],"large-scale":[55],"deployments.":[56],"To":[57,111],"address":[58],"this":[59],"issue,":[60],"we":[61,121,151],"propose":[62],"HiMon,":[63],"cost-efficient":[65],"high-accurate":[67],"distributed":[68,77],"monitoring":[69,180],"system":[70],"optimizing":[72],"aggregation.":[74],"HiMon":[75,179,186],"enables":[76],"nodes":[78],"perform":[80],"real-time,":[81],"flow-level":[82],"processing":[84,117,196],"report":[86],"the":[87,101,148,165,169,178],"master":[91,98,149,202],"node":[92,99,136,203],"with":[93,138],"minimal":[94,139],"bandwidth":[95,204],"consumption.":[96],"The":[97],"aggregates":[100],"collected":[102],"construct":[105],"comprehensive":[107],"view.":[110],"enable":[112],"high-speed":[113,145],"high-precision":[115],"perpacket":[116],"child":[119,135,166],"introduce":[122],"MaxSketch.":[123],"MaxSketch\u2019s":[124],"structure":[126],"update":[128],"strategy":[129],"allow":[130],"it":[131],"accurately":[133],"estimate":[134],"memory":[140],"computational":[142,162],"overhead.":[143],"For":[144],"aggregation":[146,157],"node,":[150],"present":[152],"PolySketch,":[153],"significantly":[155],"boosts":[156],"efficiency":[158],"by":[159],"delegating":[160],"most":[161],"tasks":[163],"nodes.":[167],"Together,":[168],"hierarchical":[170],"sketch":[171],"structures":[172],"of":[173],"MaxSketch":[174],"PolySketch":[176],"form":[177],"system.":[181],"Experimental":[182],"evaluations":[183],"demonstrate":[184],"that":[185],"surpasses":[187],"baseline":[188],"algorithms,":[189],"achieving":[190],"17-210\u00d7":[192],"improvement":[193],"25-42\u00d7":[199],"reduction":[200],"consumption,":[205],"3.69-8.97\u00d7":[208],"increase":[209],"accuracy.":[211]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2026-03-13T00:00:00"}
