{"id":"https://openalex.org/W2925703449","doi":"https://doi.org/10.1145/3313808.3313823","title":"Tail latency in node.js: energy efficient turbo boosting for long latency requests in event-driven web services","display_name":"Tail latency in node.js: energy efficient turbo boosting for long latency requests in event-driven web services","publication_year":2019,"publication_date":"2019-04-04","ids":{"openalex":"https://openalex.org/W2925703449","doi":"https://doi.org/10.1145/3313808.3313823","mag":"2925703449"},"language":"en","primary_location":{"id":"doi:10.1145/3313808.3313823","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3313808.3313823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments","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/A5079165928","display_name":"Wenzhi Cui","orcid":"https://orcid.org/0000-0002-3724-9227"},"institutions":[{"id":"https://openalex.org/I1291425158","display_name":"Google (United States)","ror":"https://ror.org/00njsd438","country_code":"US","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210128969"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenzhi Cui","raw_affiliation_strings":["University of Texas at Austin, USA / Google, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, USA / Google, USA","institution_ids":["https://openalex.org/I1291425158"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030481588","display_name":"Daniel Richins","orcid":"https://orcid.org/0000-0001-6757-5229"},"institutions":[{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Richins","raw_affiliation_strings":["University of Texas at Austin, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, USA","institution_ids":["https://openalex.org/I86519309"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023684582","display_name":"Yuhao Zhu","orcid":"https://orcid.org/0000-0002-2802-0578"},"institutions":[{"id":"https://openalex.org/I5388228","display_name":"University of Rochester","ror":"https://ror.org/022kthw22","country_code":"US","type":"education","lineage":["https://openalex.org/I5388228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuhao Zhu","raw_affiliation_strings":["University of Texas at Austin, USA / University of Rochester, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, USA / University of Rochester, USA","institution_ids":["https://openalex.org/I5388228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000635267","display_name":"Vijay Janapa Reddi","orcid":"https://orcid.org/0000-0002-5259-7721"},"institutions":[{"id":"https://openalex.org/I136199984","display_name":"Harvard University","ror":"https://ror.org/03vek6s52","country_code":"US","type":"education","lineage":["https://openalex.org/I136199984"]},{"id":"https://openalex.org/I86519309","display_name":"The University of Texas at Austin","ror":"https://ror.org/00hj54h04","country_code":"US","type":"education","lineage":["https://openalex.org/I86519309"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vijay Janapa Reddi","raw_affiliation_strings":["University of Texas at Austin, USA / Harvard University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Texas at Austin, USA / Harvard University, USA","institution_ids":["https://openalex.org/I136199984","https://openalex.org/I86519309"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"152","last_page":"164"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":1.0,"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":1.0,"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9994999766349792,"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/T11478","display_name":"Caching and Content Delivery","score":0.9994999766349792,"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/boosting","display_name":"Boosting (machine learning)","score":0.8015398979187012},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.775180459022522},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.7338323593139648},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.4801899194717407},{"id":"https://openalex.org/keywords/web-service","display_name":"Web service","score":0.4562074840068817},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.20474892854690552},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.12559446692466736},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.06876090168952942}],"concepts":[{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.8015398979187012},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.775180459022522},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.7338323593139648},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.4801899194717407},{"id":"https://openalex.org/C35578498","wikidata":"https://www.wikidata.org/wiki/Q193424","display_name":"Web service","level":2,"score":0.4562074840068817},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.20474892854690552},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.12559446692466736},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.06876090168952942}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3313808.3313823","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3313808.3313823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th ACM SIGPLAN/SIGOPS International Conference on Virtual Execution Environments","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy","score":0.7200000286102295}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W14875769","https://openalex.org/W991689541","https://openalex.org/W1480157704","https://openalex.org/W1532659787","https://openalex.org/W1573855928","https://openalex.org/W1583464938","https://openalex.org/W1929960381","https://openalex.org/W1989147905","https://openalex.org/W1990884219","https://openalex.org/W1994618472","https://openalex.org/W2025640623","https://openalex.org/W2048274063","https://openalex.org/W2057510141","https://openalex.org/W2061574886","https://openalex.org/W2061884403","https://openalex.org/W2064707793","https://openalex.org/W2100819849","https://openalex.org/W2117184262","https://openalex.org/W2126022651","https://openalex.org/W2130355432","https://openalex.org/W2141018153","https://openalex.org/W2144553551","https://openalex.org/W2148620466","https://openalex.org/W2156370972","https://openalex.org/W2225993331","https://openalex.org/W2233205172","https://openalex.org/W2235495043","https://openalex.org/W2320283508","https://openalex.org/W2321206184","https://openalex.org/W2410359103","https://openalex.org/W2465382026","https://openalex.org/W2473234741","https://openalex.org/W2513730816","https://openalex.org/W2616747538","https://openalex.org/W2766032408","https://openalex.org/W2884882316","https://openalex.org/W4236053521","https://openalex.org/W4312920248"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2125652721","https://openalex.org/W1540371141","https://openalex.org/W1549363203","https://openalex.org/W4231274751","https://openalex.org/W2154063878","https://openalex.org/W2556012038","https://openalex.org/W1489772951","https://openalex.org/W1518215897","https://openalex.org/W1538046993"],"abstract_inverted_index":{"Cloud-based":[0],"Web":[1,72],"services":[2,163],"are":[3,144],"shifting":[4],"to":[5,12,52,62,80,126,160],"the":[6,98,104,110,122,147],"event-driven,":[7],"scripting":[8,166],"language-based":[9],"programming":[10,56],"model":[11],"achieve":[13,131],"productivity,":[14],"flexibility,":[15],"and":[16,64],"scalability.":[17],"Implementations":[18],"of":[19,146],"this":[20],"model,":[21],"however,":[22],"generally":[23],"suffer":[24],"from":[25,157],"long":[26,44],"tail":[27,66,93,105,128,133],"latencies,":[28],"which":[29],"we":[30,113,155],"measure":[31],"using":[32],"Node.js":[33,158],"as":[34],"a":[35,60],"case":[36],"study.":[37],"Unlike":[38],"in":[39,48,69],"traditional":[40],"thread-based":[41],"systems,":[42],"reducing":[43],"tails":[45],"is":[46],"difficult":[47],"event-driven":[49,71,89,116,149,162],"systems":[50],"due":[51],"their":[53],"inherent":[54],"asynchronous":[55,88],"model.":[57,152],"We":[58,74,130],"propose":[59,114],"framework":[61],"identify":[63],"optimize":[65],"latency":[67,94,106,134],"sources":[68],"scripted":[70],"services.":[73],"introduce":[75],"profiling":[76,111],"that":[77,120,143],"allows":[78],"us":[79],"gain":[81],"deep":[82],"insights":[83],"into":[84],"not":[85],"only":[86],"how":[87,97],"execution":[90,117,151],"impacts":[91],"application":[92],"but":[95],"also":[96],"managed":[99],"runtime":[100,118],"system":[101],"overhead":[102,139],"exacerbates":[103],"issue":[107],"further.":[108],"Using":[109],"framework,":[112],"an":[115],"design":[119],"orchestrates":[121],"hardware\u2019s":[123],"boosting":[124],"capabilities":[125],"reduce":[127],"latency.":[129],"higher":[132],"reductions":[135],"with":[136],"lower":[137],"energy":[138],"than":[140],"prior":[141],"techniques":[142],"unaware":[145],"underlying":[148],"program":[150],"The":[153],"lessons":[154],"derive":[156],"apply":[159],"other":[161],"based":[164],"on":[165],"language":[167],"frameworks.":[168]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}