{"id":"https://openalex.org/W2558501670","doi":"https://doi.org/10.1145/3006299.3006313","title":"Performance characterization of hadoop workloads on SR-IOV-enabled virtualized InfiniBand clusters","display_name":"Performance characterization of hadoop workloads on SR-IOV-enabled virtualized InfiniBand clusters","publication_year":2016,"publication_date":"2016-12-01","ids":{"openalex":"https://openalex.org/W2558501670","doi":"https://doi.org/10.1145/3006299.3006313","mag":"2558501670"},"language":"en","primary_location":{"id":"doi:10.1145/3006299.3006313","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3006299.3006313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies","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/A5052570522","display_name":"Shashank Gugnani","orcid":"https://orcid.org/0000-0002-7385-5769"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shashank Gugnani","raw_affiliation_strings":["The Ohio State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067748041","display_name":"Xiaoyi Lu","orcid":"https://orcid.org/0000-0001-7581-8905"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaoyi Lu","raw_affiliation_strings":["The Ohio State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024879682","display_name":"Dhabaleswar K. Panda","orcid":"https://orcid.org/0000-0002-0356-1781"},"institutions":[{"id":"https://openalex.org/I52357470","display_name":"The Ohio State University","ror":"https://ror.org/00rs6vg23","country_code":"US","type":"education","lineage":["https://openalex.org/I52357470"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dhabaleswar K. Panda","raw_affiliation_strings":["The Ohio State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ohio State University","institution_ids":["https://openalex.org/I52357470"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I52357470"],"apc_list":null,"apc_paid":null,"fwci":1.5723,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.85247884,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"36","last_page":"45"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9998999834060669,"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":0.9998999834060669,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9970999956130981,"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"}},{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9961000084877014,"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/infiniband","display_name":"InfiniBand","score":0.9942640066146851},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8490992188453674},{"id":"https://openalex.org/keywords/remote-direct-memory-access","display_name":"Remote direct memory access","score":0.8447830677032471},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.7275631427764893},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.6814146637916565},{"id":"https://openalex.org/keywords/virtualization","display_name":"Virtualization","score":0.6430782079696655},{"id":"https://openalex.org/keywords/middleware","display_name":"Middleware (distributed applications)","score":0.4566989243030548},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.44581085443496704},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.41809654235839844},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.3812020421028137},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.36644917726516724}],"concepts":[{"id":"https://openalex.org/C2781030343","wikidata":"https://www.wikidata.org/wiki/Q922437","display_name":"InfiniBand","level":2,"score":0.9942640066146851},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8490992188453674},{"id":"https://openalex.org/C130795937","wikidata":"https://www.wikidata.org/wiki/Q2561570","display_name":"Remote direct memory access","level":2,"score":0.8447830677032471},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.7275631427764893},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.6814146637916565},{"id":"https://openalex.org/C513985346","wikidata":"https://www.wikidata.org/wiki/Q270471","display_name":"Virtualization","level":3,"score":0.6430782079696655},{"id":"https://openalex.org/C169468491","wikidata":"https://www.wikidata.org/wiki/Q146923","display_name":"Middleware (distributed applications)","level":2,"score":0.4566989243030548},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.44581085443496704},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.41809654235839844},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3812020421028137},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36644917726516724},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3006299.3006313","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3006299.3006313","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd IEEE/ACM International Conference on Big Data Computing, Applications and Technologies","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.49000000953674316}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W17864305","https://openalex.org/W1502383304","https://openalex.org/W1604656800","https://openalex.org/W1963832798","https://openalex.org/W1965602589","https://openalex.org/W1968781019","https://openalex.org/W2003137843","https://openalex.org/W2011586157","https://openalex.org/W2012752667","https://openalex.org/W2021536048","https://openalex.org/W2058394802","https://openalex.org/W2072341511","https://openalex.org/W2079839497","https://openalex.org/W2082615565","https://openalex.org/W2088745459","https://openalex.org/W2089098642","https://openalex.org/W2117898742","https://openalex.org/W2121762798","https://openalex.org/W2122465391","https://openalex.org/W2126743076","https://openalex.org/W2131726714","https://openalex.org/W2151182669","https://openalex.org/W2153527235","https://openalex.org/W2156368296","https://openalex.org/W2164343421","https://openalex.org/W2311891150","https://openalex.org/W2543413927","https://openalex.org/W2789612634","https://openalex.org/W4229701516","https://openalex.org/W6600737987","https://openalex.org/W6698356214"],"related_works":["https://openalex.org/W1978254186","https://openalex.org/W4245217724","https://openalex.org/W4390917331","https://openalex.org/W1984788566","https://openalex.org/W4253931064","https://openalex.org/W3166154920","https://openalex.org/W2154082760","https://openalex.org/W1964981582","https://openalex.org/W4282599985","https://openalex.org/W2139382794"],"abstract_inverted_index":{"Big":[0,37,111,153],"Data":[1,38,112,154],"Systems":[2],"are":[3],"becoming":[4],"increasingly":[5],"complex":[6],"and":[7,40,114,156],"generally":[8],"have":[9],"very":[10],"high":[11,45],"operational":[12],"costs.":[13],"Cloud":[14],"computing":[15],"offers":[16,70],"attractive":[17],"solutions":[18],"for":[19,88,101,125,148,188],"managing":[20],"large":[21],"scale":[22],"systems.":[23],"However,":[24],"one":[25],"of":[26,53,85,99,110,152],"the":[27,51,82,96,107,121,145],"major":[28],"bottlenecks":[29],"in":[30],"VM":[31],"performance":[32,46,52,72,97,108,123,146,186],"is":[33,57,64,92,171],"virtualized":[34,54],"I/O.":[35],"Since":[36],"applications":[39,113,157],"middleware":[41,115],"rely":[42],"heavily":[43],"on":[44],"interconnects":[47],"such":[48],"as":[49,74,132,165,190],"InfiniBand,":[50],"InfiniBand":[55,86,102,161,169],"interfaces":[56],"vital.":[58],"Single":[59],"Root":[60],"I/O":[61,79],"Virtualization":[62],"(SR-IOV)":[63],"a":[65,149],"hardware":[66],"based":[67,78],"approach":[68],"which":[69],"significant":[71],"benefits":[73,98],"compared":[75,166,191],"to":[76,94,105,167,192],"software":[77],"virtualization.":[80],"With":[81],"increasing":[83],"adoption":[84],"network":[87,170],"cloud":[89],"computing,":[90],"it":[91],"important":[93],"evaluate":[95],"SR-IOV":[100,159],"networks;":[103],"especially":[104],"see":[106,182],"characteristics":[109],"under":[116],"different":[117,126],"scenarios.":[118],"We":[119],"characterize":[120],"main":[122],"factors":[124],"workloads":[127],"through":[128],"this":[129],"study":[130],"(such":[131],"map":[133],"task":[134],"scheduling,":[135],"I/O,":[136],"data":[137],"replication,":[138],"etc.).":[139],"Our":[140],"experimental":[141],"evaluations":[142],"show":[143],"that":[144],"difference":[147],"wide":[150],"set":[151],"benchmarks":[155],"over":[158],"with":[160,178],"using":[162],"RDMA-enabled":[163,179],"Hadoop":[164],"native":[168],"just":[172],"5":[173],"--":[174,184],"15%.":[175],"In":[176],"addition,":[177],"Hadoop,":[180],"we":[181],"20.9":[183],"81.6%":[185],"improvement":[187],"RDMA":[189],"IPoIB.":[193]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}