{"id":"https://openalex.org/W2916715672","doi":"https://doi.org/10.1109/glocom.2018.8647320","title":"MATReduce: Towards High-Performance P4 Pipeline by Reducing Duplicate Match Operations","display_name":"MATReduce: Towards High-Performance P4 Pipeline by Reducing Duplicate Match Operations","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2916715672","doi":"https://doi.org/10.1109/glocom.2018.8647320","mag":"2916715672"},"language":"en","primary_location":{"id":"doi:10.1109/glocom.2018.8647320","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2018.8647320","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Communications Conference (GLOBECOM)","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/A5011791240","display_name":"Xiang Chen","orcid":"https://orcid.org/0000-0002-0249-9664"},"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":true,"raw_author_name":"Xiang Chen","raw_affiliation_strings":["College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004328556","display_name":"Dong Zhang","orcid":"https://orcid.org/0000-0001-7297-5083"},"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":["College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Mathematics and Computer Science, Fuzhou University, Fuzhou, China","institution_ids":["https://openalex.org/I80947539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101602014","display_name":"Haifeng Zhou","orcid":"https://orcid.org/0000-0002-8008-2805"},"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":"Haifeng Zhou","raw_affiliation_strings":["College of Computer Science and Technology, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"College of Computer Science and Technology, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011791240"],"corresponding_institution_ids":["https://openalex.org/I80947539"],"apc_list":null,"apc_paid":null,"fwci":0.3691,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.66982017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10714","display_name":"Software-Defined Networks and 5G","score":1.0,"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":1.0,"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/T12127","display_name":"Software System Performance and Reliability","score":0.9991000294685364,"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/T12326","display_name":"Network Packet Processing and Optimization","score":0.9988999962806702,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/pipeline","display_name":"Pipeline (software)","score":0.8195788264274597},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7873297929763794},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6511180996894836},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5798428058624268},{"id":"https://openalex.org/keywords/table","display_name":"Table (database)","score":0.5617226958274841},{"id":"https://openalex.org/keywords/network-packet","display_name":"Network packet","score":0.5325488448143005},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.5172455906867981},{"id":"https://openalex.org/keywords/pipeline-transport","display_name":"Pipeline transport","score":0.4836372137069702},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.475595086812973},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.4277111291885376},{"id":"https://openalex.org/keywords/control-flow","display_name":"Control flow","score":0.42498287558555603},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37765946984291077},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.29478007555007935},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.23514509201049805},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.23419073224067688},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16042155027389526},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10737255215644836},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.10106080770492554}],"concepts":[{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.8195788264274597},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7873297929763794},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6511180996894836},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5798428058624268},{"id":"https://openalex.org/C45235069","wikidata":"https://www.wikidata.org/wiki/Q278425","display_name":"Table (database)","level":2,"score":0.5617226958274841},{"id":"https://openalex.org/C158379750","wikidata":"https://www.wikidata.org/wiki/Q214111","display_name":"Network packet","level":2,"score":0.5325488448143005},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.5172455906867981},{"id":"https://openalex.org/C175309249","wikidata":"https://www.wikidata.org/wiki/Q725864","display_name":"Pipeline transport","level":2,"score":0.4836372137069702},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.475595086812973},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.4277111291885376},{"id":"https://openalex.org/C160191386","wikidata":"https://www.wikidata.org/wiki/Q868299","display_name":"Control flow","level":2,"score":0.42498287558555603},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37765946984291077},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.29478007555007935},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.23514509201049805},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.23419073224067688},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16042155027389526},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10737255215644836},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.10106080770492554},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0},{"id":"https://openalex.org/C87717796","wikidata":"https://www.wikidata.org/wiki/Q146326","display_name":"Environmental engineering","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/glocom.2018.8647320","is_oa":false,"landing_page_url":"https://doi.org/10.1109/glocom.2018.8647320","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Communications Conference (GLOBECOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1435603161","https://openalex.org/W1979866793","https://openalex.org/W1994926493","https://openalex.org/W2134519279","https://openalex.org/W2557702138","https://openalex.org/W2604642895","https://openalex.org/W2605556239","https://openalex.org/W2605823630","https://openalex.org/W2743987472","https://openalex.org/W2744693751","https://openalex.org/W2746559355","https://openalex.org/W2748478525","https://openalex.org/W3102982213","https://openalex.org/W4253731216","https://openalex.org/W6628400919","https://openalex.org/W6736124970"],"related_works":["https://openalex.org/W2359178629","https://openalex.org/W4380433113","https://openalex.org/W4386072068","https://openalex.org/W252339960","https://openalex.org/W2375218795","https://openalex.org/W2390529043","https://openalex.org/W2378320433","https://openalex.org/W2358343511","https://openalex.org/W2051877971","https://openalex.org/W1970117064"],"abstract_inverted_index":{"P4":[0,27,55,68,98,109],"provides":[1,139],"operators":[2],"with":[3],"the":[4,8,13,26,31,38,51,54,67,84,87,92,97,101,108,113,118,129,154,163],"ability":[5],"to":[6,124],"program":[7,114],"packet":[9,32],"processing":[10],"pipeline":[11,28,69,110],"of":[12,25,53,80,107],"data":[14],"plane":[15],"device.":[16],"The":[17],"match-action":[18],"table":[19],"(MAT)":[20],"is":[21,78],"a":[22,63,144,149,158],"basic":[23],"component":[24],"that":[29,49,65,137],"matches":[30],"and":[33,86,95,148,157],"performs":[34],"an":[35],"action":[36],"on":[37,153,162],"matched":[39],"packet.":[40],"However,":[41],"different":[42],"MATs":[43],"may":[44],"execute":[45],"duplicate":[46,72,104],"match":[47,73,105],"operations":[48,74,106],"decreases":[50],"performance":[52,141],"pipeline.":[56],"To":[57],"this":[58],"end,":[59],"we":[60],"present":[61],"MATReduce,":[62],"framework":[64],"optimizes":[66],"by":[70],"reducing":[71],"between":[75],"MATs.":[76],"MATReduce":[77,138],"composed":[79],"two":[81],"key":[82],"components,":[83],"preprocessor":[85,102],"runtime":[88,119],"manager.":[89],"By":[90],"introducing":[91],"compound":[93],"MAT":[94],"rewriting":[96],"control":[99],"flow,":[100],"merges":[103],"while":[111],"maintaining":[112,128],"semantics.":[115],"At":[116],"runtime,":[117],"manager":[120],"converts":[121],"user":[122],"rules":[123,126],"actual":[125],"for":[127],"policy":[130],"consistency.":[131],"Our":[132],"preliminary":[133],"experimental":[134],"results":[135],"show":[136],"significant":[140],"improvement,":[142],"including":[143],"23.90%":[145],"throughput":[146],"increase":[147],"34.37%":[150],"delay":[151,160],"decrease":[152,161],"software":[155],"target,":[156],"45.19%":[159],"hardware":[164],"target.":[165]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}