{"id":"https://openalex.org/W2061884403","doi":"https://doi.org/10.1109/hpca.2015.7056039","title":"Adrenaline: Pinpointing and reining in tail queries with quick voltage boosting","display_name":"Adrenaline: Pinpointing and reining in tail queries with quick voltage boosting","publication_year":2015,"publication_date":"2015-02-01","ids":{"openalex":"https://openalex.org/W2061884403","doi":"https://doi.org/10.1109/hpca.2015.7056039","mag":"2061884403"},"language":"en","primary_location":{"id":"doi:10.1109/hpca.2015.7056039","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpca.2015.7056039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 21st International Symposium on High Performance Computer Architecture (HPCA)","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/A5110573485","display_name":"Chang-Hong Hsu","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chang-Hong Hsu","raw_affiliation_strings":["Clarity Lab, University of Michigan, Ann Arbor, MI","Clarity Lab University of Michigan - Ann Arbor, MI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clarity Lab, University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Clarity Lab University of Michigan - Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100683914","display_name":"Yunqi Zhang","orcid":"https://orcid.org/0000-0002-3363-9834"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yunqi Zhang","raw_affiliation_strings":["Clarity Lab, University of Michigan, Ann Arbor, MI","Clarity Lab University of Michigan - Ann Arbor, MI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clarity Lab, University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Clarity Lab University of Michigan - Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058184922","display_name":"Michael A. Laurenzano","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael A. Laurenzano","raw_affiliation_strings":["Clarity Lab, University of Michigan, Ann Arbor, MI","Clarity Lab University of Michigan - Ann Arbor, MI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clarity Lab, University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Clarity Lab University of Michigan - Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070641864","display_name":"David Meisner","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]},{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Meisner","raw_affiliation_strings":["Clarity Lab, Facebook, Inc., Menlo Park, CA","Facebook, Inc,Menlo Park,CA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clarity Lab, Facebook, Inc., Menlo Park, CA","institution_ids":["https://openalex.org/I4210114444"]},{"raw_affiliation_string":"Facebook, Inc,Menlo Park,CA","institution_ids":["https://openalex.org/I4210099336","https://openalex.org/I4210114444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018949021","display_name":"Thomas F. Wenisch","orcid":"https://orcid.org/0000-0001-9560-2124"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas Wenisch","raw_affiliation_strings":["Clarity Lab, University of Michigan, Ann Arbor, MI","Clarity Lab University of Michigan - Ann Arbor, MI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clarity Lab, University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Clarity Lab University of Michigan - Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053236545","display_name":"Jason Mars","orcid":"https://orcid.org/0000-0002-7029-5292"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jason Mars","raw_affiliation_strings":["Clarity Lab, University of Michigan, Ann Arbor, MI","Clarity Lab University of Michigan - Ann Arbor, MI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clarity Lab, University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Clarity Lab University of Michigan - Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065128438","display_name":"Lingjia Tang","orcid":"https://orcid.org/0000-0002-5609-7775"},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lingjia Tang","raw_affiliation_strings":["Clarity Lab, University of Michigan, Ann Arbor, MI","Clarity Lab University of Michigan - Ann Arbor, MI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clarity Lab, University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Clarity Lab University of Michigan - Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014250626","display_name":"Ronald Dreslinski","orcid":null},"institutions":[{"id":"https://openalex.org/I27837315","display_name":"University of Michigan","ror":"https://ror.org/00jmfr291","country_code":"US","type":"education","lineage":["https://openalex.org/I27837315"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ronald G. Dreslinski","raw_affiliation_strings":["Clarity Lab, University of Michigan, Ann Arbor, MI","Clarity Lab University of Michigan - Ann Arbor, MI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clarity Lab, University of Michigan, Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]},{"raw_affiliation_string":"Clarity Lab University of Michigan - Ann Arbor, MI","institution_ids":["https://openalex.org/I27837315"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":115,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"271","last_page":"282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9984999895095825,"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":0.9980000257492065,"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/computer-science","display_name":"Computer science","score":0.792411208152771},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.7086986899375916},{"id":"https://openalex.org/keywords/granularity","display_name":"Granularity","score":0.6956173777580261},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5773131251335144},{"id":"https://openalex.org/keywords/quality-of-service","display_name":"Quality of service","score":0.4427696764469147},{"id":"https://openalex.org/keywords/voltage","display_name":"Voltage","score":0.41250288486480713},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.33972087502479553},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.22694623470306396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2157851755619049},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.19793817400932312},{"id":"https://openalex.org/keywords/electrical-engineering","display_name":"Electrical engineering","score":0.10305950045585632}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.792411208152771},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.7086986899375916},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.6956173777580261},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5773131251335144},{"id":"https://openalex.org/C5119721","wikidata":"https://www.wikidata.org/wiki/Q220501","display_name":"Quality of service","level":2,"score":0.4427696764469147},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.41250288486480713},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.33972087502479553},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.22694623470306396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2157851755619049},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.19793817400932312},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.10305950045585632},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/hpca.2015.7056039","is_oa":false,"landing_page_url":"https://doi.org/10.1109/hpca.2015.7056039","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE 21st International Symposium on High Performance Computer Architecture (HPCA)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.8600000143051147}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W100679602","https://openalex.org/W1457268004","https://openalex.org/W1785664926","https://openalex.org/W1978502921","https://openalex.org/W1979979548","https://openalex.org/W1982063824","https://openalex.org/W1982463304","https://openalex.org/W1994790794","https://openalex.org/W1997728251","https://openalex.org/W2009411324","https://openalex.org/W2017004353","https://openalex.org/W2022832305","https://openalex.org/W2023214828","https://openalex.org/W2032512814","https://openalex.org/W2035286849","https://openalex.org/W2038337218","https://openalex.org/W2067701356","https://openalex.org/W2073965851","https://openalex.org/W2074041401","https://openalex.org/W2082796103","https://openalex.org/W2098395496","https://openalex.org/W2100346277","https://openalex.org/W2102709380","https://openalex.org/W2103110737","https://openalex.org/W2109707174","https://openalex.org/W2110999878","https://openalex.org/W2115412309","https://openalex.org/W2116175063","https://openalex.org/W2117299787","https://openalex.org/W2125901106","https://openalex.org/W2128785632","https://openalex.org/W2139893873","https://openalex.org/W2141181087","https://openalex.org/W2144034023","https://openalex.org/W2144553551","https://openalex.org/W2150139096","https://openalex.org/W2151396120","https://openalex.org/W2154169726","https://openalex.org/W2155702343","https://openalex.org/W2167756728","https://openalex.org/W2169414316","https://openalex.org/W3021716134","https://openalex.org/W4211195804","https://openalex.org/W4231427385","https://openalex.org/W4245884216","https://openalex.org/W4250075356","https://openalex.org/W6628445937","https://openalex.org/W6637998620","https://openalex.org/W6675036873","https://openalex.org/W6677365932","https://openalex.org/W6677377052","https://openalex.org/W6684141028","https://openalex.org/W6684980599"],"related_works":["https://openalex.org/W2931688134","https://openalex.org/W2377919138","https://openalex.org/W2378857091","https://openalex.org/W103652678","https://openalex.org/W4226090359","https://openalex.org/W2059697060","https://openalex.org/W936373746","https://openalex.org/W2975817033","https://openalex.org/W4382701072","https://openalex.org/W2383750362"],"abstract_inverted_index":{"Reducing":[0],"the":[1,5,55,93,119,126,131,167,176,187],"long":[2],"tail":[3,63,69,94,132,168,198],"of":[4,21,23,57,85,118,189],"query":[6],"latency":[7,95,199],"distribution":[8,169],"in":[9,92],"modern":[10],"warehouse":[11],"scale":[12],"computers":[13],"is":[14,111],"critical":[15],"for":[16,65,115,144,201,208,222,232,239],"improving":[17],"performance":[18],"and":[19,29,38,134,159,170,203,234],"quality":[20],"service":[22],"workloads":[24],"such":[25,58],"as":[26],"Web":[27,209,240],"Search":[28,210,241],"Memcached.":[30],"Traditional":[31],"turbo":[32],"boost":[33,124],"increases":[34],"a":[35,41,59,196,206,215,229,237],"processor's":[36],"voltage":[37,87],"frequency":[39],"during":[40,51],"coarse-grain":[42],"sliding":[43],"window,":[44],"boosting":[45,66,88,110,150,217],"all":[46],"queries":[47,64,127,161],"that":[48,52,128,162],"are":[49,163],"processed":[50],"window.":[53],"However,":[54],"inability":[56],"technique":[60],"to":[61,80,89,122,130,141,165,195,205,228,236],"pinpoint":[62],"limits":[67],"its":[68],"reduction":[70],"benefit.":[71],"In":[72],"this":[73,103],"work,":[74],"we":[75,185],"propose":[76],"Adrenaline,":[77],"an":[78,112],"approach":[79],"leverage":[81],"finer":[82,107],"granularity,":[83],"10's":[84],"nanoseconds,":[86],"effectively":[90,157],"rein":[91],"with":[96],"query-level":[97],"precision.":[98],"Two":[99],"key":[100],"insights":[101],"underlie":[102],"work.":[104],"First,":[105],"emerging":[106],"granularity":[108],"voltage/frequency":[109,177],"enabling":[113],"mechanism":[114],"intelligent":[116],"allocation":[117],"power":[120,218],"budget":[121],"precisely":[123],"only":[125],"contribute":[129],"latency;":[133],"second,":[135],"per-query":[136],"characteristics":[137],"can":[138,171],"be":[139],"used":[140],"design":[142],"indicators":[143],"proactively":[145],"pinpointing":[146],"these":[147,154],"queries,":[148],"triggering":[149],"accordingly.":[151],"Based":[152],"on":[153],"insights,":[155],"Adrenaline":[156,225],"pinpoints":[158],"boosts":[160],"likely":[164],"increase":[166],"reap":[172],"more":[173],"benefit":[174],"from":[175],"boost.":[178],"By":[179],"evaluating":[180],"under":[181],"various":[182],"workload":[183],"configurations,":[184],"demonstrate":[186],"effectiveness":[188],"our":[190],"methodology.":[191],"We":[192],"achieve":[193],"up":[194,204,227,235],"2.50x":[197],"improvement":[200,231],"Memcached":[202,233],"3.03x":[207],"over":[211,242],"coarse-grained":[212,243],"DVFS":[213],"given":[214],"fixed":[216],"budget.":[219],"When":[220],"optimizing":[221],"energy":[223],"reduction,":[224],"achieves":[226],"1.81x":[230],"1.99x":[238],"DVFS.":[244]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":21},{"year":2016,"cited_by_count":22},{"year":2015,"cited_by_count":9}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}
