{"id":"https://openalex.org/W4415124764","doi":"https://doi.org/10.1109/icnp65844.2025.11192430","title":"Carrera: Enabling High-Performance eBPF-based Sketches in Network Measurement","display_name":"Carrera: Enabling High-Performance eBPF-based Sketches in Network Measurement","publication_year":2025,"publication_date":"2025-09-22","ids":{"openalex":"https://openalex.org/W4415124764","doi":"https://doi.org/10.1109/icnp65844.2025.11192430"},"language":"en","primary_location":{"id":"doi:10.1109/icnp65844.2025.11192430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnp65844.2025.11192430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 33rd International Conference on Network Protocols (ICNP)","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/A5103125470","display_name":"Xiang Chen","orcid":"https://orcid.org/0000-0002-6955-8729"},"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":true,"raw_author_name":"Xiang Chen","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113872471","display_name":"Xin Yao","orcid":"https://orcid.org/0000-0003-0742-807X"},"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":"Xin Yao","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060578900","display_name":"Jiayu Li","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":"Jiayu Li","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030891963","display_name":"Longlong Zhu","orcid":"https://orcid.org/0000-0001-6128-3065"},"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":"Longlong Zhu","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109778692","display_name":"Linying Zheng","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":"Linying Zheng","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100332454","display_name":"Hong-Yan Liu","orcid":"https://orcid.org/0000-0001-9158-4432"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyan Liu","raw_affiliation_strings":["Fuzhou University"],"affiliations":[{"raw_affiliation_string":"Fuzhou University","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034695215","display_name":"Jianshan Zhang","orcid":"https://orcid.org/0000-0002-3006-1328"},"institutions":[{"id":"https://openalex.org/I354108","display_name":"Minjiang University","ror":"https://ror.org/00s7tkw17","country_code":"CN","type":"education","lineage":["https://openalex.org/I354108"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianshan Zhang","raw_affiliation_strings":["Minjiang University"],"affiliations":[{"raw_affiliation_string":"Minjiang University","institution_ids":["https://openalex.org/I354108"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366086","display_name":"Dong Zhang","orcid":"https://orcid.org/0000-0002-0138-3416"},"institutions":[{"id":"https://openalex.org/I80947539","display_name":"Fuzhou University","ror":"https://ror.org/011xvna82","country_code":"CN","type":"education","lineage":["https://openalex.org/I80947539"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dong Zhang","raw_affiliation_strings":["Fuzhou University"],"affiliations":[{"raw_affiliation_string":"Fuzhou University","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100362330","display_name":"Xuan Liu","orcid":"https://orcid.org/0000-0002-7966-4488"},"institutions":[{"id":"https://openalex.org/I78978612","display_name":"Yangzhou University","ror":"https://ror.org/03tqb8s11","country_code":"CN","type":"education","lineage":["https://openalex.org/I78978612"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuan Liu","raw_affiliation_strings":["Yangzhou University"],"affiliations":[{"raw_affiliation_string":"Yangzhou University","institution_ids":["https://openalex.org/I78978612"]}]},{"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/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qun Huang","raw_affiliation_strings":["Peking University"],"affiliations":[{"raw_affiliation_string":"Peking University","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101602014","display_name":"Haifeng Zhou","orcid":"https://orcid.org/0000-0002-8008-2805"},"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":"Haifeng Zhou","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078198240","display_name":"Chunming Wu","orcid":"https://orcid.org/0000-0001-7958-9687"},"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":"Chunming Wu","raw_affiliation_strings":["Zhejiang University"],"affiliations":[{"raw_affiliation_string":"Zhejiang University","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5103125470"],"corresponding_institution_ids":["https://openalex.org/I76130692"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33214709,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10138","display_name":"Network Traffic and Congestion Control","score":0.8841000199317932,"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/T10138","display_name":"Network Traffic and Congestion Control","score":0.8841000199317932,"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/T10378","display_name":"Advanced MRI Techniques and Applications","score":0.8830000162124634,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":0.8669999837875366,"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/testbed","display_name":"Testbed","score":0.7735000252723694},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.6301000118255615},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5638999938964844},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5626999735832214},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5455999970436096},{"id":"https://openalex.org/keywords/code-refactoring","display_name":"Code refactoring","score":0.4828000068664551},{"id":"https://openalex.org/keywords/performance-measurement","display_name":"Performance measurement","score":0.4171999990940094}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8443999886512756},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.7735000252723694},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.6301000118255615},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5638999938964844},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5626999735832214},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5455999970436096},{"id":"https://openalex.org/C152752567","wikidata":"https://www.wikidata.org/wiki/Q116877","display_name":"Code refactoring","level":3,"score":0.4828000068664551},{"id":"https://openalex.org/C141571065","wikidata":"https://www.wikidata.org/wiki/Q1771949","display_name":"Performance measurement","level":2,"score":0.4171999990940094},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.37439998984336853},{"id":"https://openalex.org/C203274722","wikidata":"https://www.wikidata.org/wiki/Q7001161","display_name":"Network performance","level":2,"score":0.3547999858856201},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.33889999985694885},{"id":"https://openalex.org/C118524514","wikidata":"https://www.wikidata.org/wiki/Q173212","display_name":"Computer architecture","level":1,"score":0.3377000093460083},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.32989999651908875},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3255999982357025},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.32420000433921814},{"id":"https://openalex.org/C2780378061","wikidata":"https://www.wikidata.org/wiki/Q25351891","display_name":"Service (business)","level":2,"score":0.3068999946117401},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.29589998722076416},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.263700008392334},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.25679999589920044},{"id":"https://openalex.org/C187123476","wikidata":"https://www.wikidata.org/wiki/Q1197550","display_name":"Computer performance","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icnp65844.2025.11192430","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icnp65844.2025.11192430","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 33rd International Conference on Network Protocols (ICNP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326952","display_name":"State Key Laboratory of Industrial Control Technology","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1493892051","https://openalex.org/W2025051251","https://openalex.org/W2034302520","https://openalex.org/W2080234606","https://openalex.org/W2099480861","https://openalex.org/W2102481563","https://openalex.org/W2130873644","https://openalex.org/W2144982963","https://openalex.org/W2487095677","https://openalex.org/W2530137915","https://openalex.org/W2605823630","https://openalex.org/W2737988660","https://openalex.org/W2743723076","https://openalex.org/W2761338514","https://openalex.org/W2790554119","https://openalex.org/W2834288129","https://openalex.org/W2864823780","https://openalex.org/W2896149153","https://openalex.org/W2951243021","https://openalex.org/W2967106834","https://openalex.org/W3008207353","https://openalex.org/W3011196476","https://openalex.org/W3108496275","https://openalex.org/W3152510350","https://openalex.org/W3189127798","https://openalex.org/W4205556583","https://openalex.org/W4211131942","https://openalex.org/W4234682775","https://openalex.org/W4241915340","https://openalex.org/W4244556018","https://openalex.org/W4255944303","https://openalex.org/W4290991708","https://openalex.org/W4366493286","https://openalex.org/W4401176697","https://openalex.org/W4408869788"],"related_works":[],"abstract_inverted_index":{"To":[0],"achieve":[1],"dynamic":[2],"network":[3],"measurement,":[4],"trends":[5],"build":[6],"sketches":[7,17,67,105,141],"on":[8,47,51],"eBPF":[9,71],"to":[10,24,34,43,127,150,157],"avoid":[11],"service":[12],"interruptions.":[13],"However,":[14],"existing":[15],"eBPF-based":[16,92,104,133],"suffer":[18],"from":[19],"high":[20,28],"CPU":[21],"consumption,":[22],"leading":[23],"poor":[25],"throughput":[26,147],"and":[27,30,57,123,142,152],"latency":[29,154],"making":[31],"them":[32],"hard":[33],"measure":[35],"high-speed":[36],"traffic.":[37],"Optimizing":[38],"their":[39],"performance":[40,72,80,101],"requires":[41],"users":[42,64],"refactor":[44],"codes":[45],"based":[46],"each":[48],"sketch\u2019s":[49],"characteristics":[50],"eBPF,":[52],"which":[53],"is":[54],"highly":[55],"complex":[56],"time-consuming.In":[58],"this":[59],"paper,":[60],"we":[61],"argue":[62],"that":[63,87,144],"should":[65],"write":[66],"without":[68],"concerning":[69],"low-level":[70],"optimizations,":[73,111],"with":[74,139],"the":[75,100,129],"deployment":[76],"automatically":[77],"activating":[78],"cross-sketch":[79],"optimizations.":[81],"We":[82],"present":[83],"Carrera,":[84],"a":[85],"library":[86],"offers":[88],"domain-specific":[89],"optimizations":[90,138],"for":[91],"sketches.":[93],"Our":[94],"contributions":[95],"are":[96],"(1)":[97],"systematically":[98],"analyzing":[99],"bottlenecks":[102,131],"of":[103],"through":[106],"microbenchmarks,":[107],"(2)":[108],"identifying":[109],"practical":[110],"including":[112],"hardware":[113],"offloading,":[114],"SIMD-accelerated":[115],"hashing,":[116],"traffic-aware":[117],"flow":[118],"index":[119],"caching,":[120],"prefetched":[121],"randomization,":[122],"active":[124],"data":[125],"collection,":[126],"address":[128],"identified":[130],"in":[132],"sketches,":[134],"(3)":[135],"evaluating":[136],"these":[137],"state-of-the-art":[140],"demonstrating":[143],"Carrera":[145],"improves":[146],"by":[148,155],"up":[149,156],"65%":[151],"reduces":[153],"93%":[158],"via":[159],"testbed":[160],"experiments.":[161]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-14T00:00:00"}