{"id":"https://openalex.org/W2282874851","doi":"https://doi.org/10.1145/2851141.2851148","title":"Keep calm and react with foresight","display_name":"Keep calm and react with foresight","publication_year":2016,"publication_date":"2016-02-22","ids":{"openalex":"https://openalex.org/W2282874851","doi":"https://doi.org/10.1145/2851141.2851148","mag":"2282874851"},"language":"en","primary_location":{"id":"doi:10.1145/2851141.2851148","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2851141.2851148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://hdl.handle.net/11568/779590","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042851074","display_name":"Tiziano De Matteis","orcid":"https://orcid.org/0000-0002-9158-6849"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Tiziano De Matteis","raw_affiliation_strings":["University of Pisa, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047226405","display_name":"Gabriele Mencagli","orcid":"https://orcid.org/0000-0002-6263-7723"},"institutions":[{"id":"https://openalex.org/I108290504","display_name":"University of Pisa","ror":"https://ror.org/03ad39j10","country_code":"IT","type":"education","lineage":["https://openalex.org/I108290504"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gabriele Mencagli","raw_affiliation_strings":["University of Pisa, Pisa, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Pisa, Pisa, Italy","institution_ids":["https://openalex.org/I108290504"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I108290504"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":67,"citation_normalized_percentile":null,"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/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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9987999796867371,"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/T11106","display_name":"Data Management and Algorithms","score":0.9965000152587891,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/frequency-scaling","display_name":"Frequency scaling","score":0.8872661590576172},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7737974524497986},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.6749660968780518},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5534970164299011},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.548944354057312},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.5414054989814758},{"id":"https://openalex.org/keywords/model-predictive-control","display_name":"Model predictive control","score":0.47521859407424927},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4688345789909363},{"id":"https://openalex.org/keywords/elasticity","display_name":"Elasticity (physics)","score":0.4687419533729553},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.4557080864906311},{"id":"https://openalex.org/keywords/time-horizon","display_name":"Time horizon","score":0.4518541395664215},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.4267909526824951},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.3700559735298157},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.2741277813911438},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.23548129200935364},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.170733243227005},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.14549115300178528},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10763728618621826}],"concepts":[{"id":"https://openalex.org/C157742956","wikidata":"https://www.wikidata.org/wiki/Q3237776","display_name":"Frequency scaling","level":3,"score":0.8872661590576172},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7737974524497986},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.6749660968780518},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5534970164299011},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.548944354057312},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.5414054989814758},{"id":"https://openalex.org/C172205157","wikidata":"https://www.wikidata.org/wiki/Q1782962","display_name":"Model predictive control","level":3,"score":0.47521859407424927},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4688345789909363},{"id":"https://openalex.org/C121854251","wikidata":"https://www.wikidata.org/wiki/Q62932","display_name":"Elasticity (physics)","level":2,"score":0.4687419533729553},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.4557080864906311},{"id":"https://openalex.org/C28761237","wikidata":"https://www.wikidata.org/wiki/Q7805321","display_name":"Time horizon","level":2,"score":0.4518541395664215},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.4267909526824951},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.3700559735298157},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.2741277813911438},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.23548129200935364},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.170733243227005},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.14549115300178528},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10763728618621826},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2851141.2851148","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2851141.2851148","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 21st ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming","raw_type":"proceedings-article"},{"id":"pmh:oai:arpi.unipi.it:11568/779590","is_oa":true,"landing_page_url":"http://hdl.handle.net/11568/779590","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"}],"best_oa_location":{"id":"pmh:oai:arpi.unipi.it:11568/779590","is_oa":true,"landing_page_url":"http://hdl.handle.net/11568/779590","pdf_url":null,"source":{"id":"https://openalex.org/S4377196265","display_name":"CINECA IRIS Institutial research information system (University of Pisa)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I108290504","host_organization_name":"University of Pisa","host_organization_lineage":["https://openalex.org/I108290504"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[{"display_name":"Affordable and clean energy","id":"https://metadata.un.org/sdg/7","score":0.9100000262260437}],"awards":[{"id":"https://openalex.org/G2153309609","display_name":null,"funder_award_id":"ICT-2014-1","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"},{"id":"https://openalex.org/G7331901853","display_name":null,"funder_award_id":"EU H2020","funder_id":"https://openalex.org/F4320332999","funder_display_name":"Horizon 2020 Framework Programme"}],"funders":[{"id":"https://openalex.org/F4320332999","display_name":"Horizon 2020 Framework Programme","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W147922676","https://openalex.org/W605455085","https://openalex.org/W1579308114","https://openalex.org/W1581231885","https://openalex.org/W1952064410","https://openalex.org/W1978235430","https://openalex.org/W1982394025","https://openalex.org/W1994911600","https://openalex.org/W2001474264","https://openalex.org/W2001937343","https://openalex.org/W2012465543","https://openalex.org/W2015244008","https://openalex.org/W2017203676","https://openalex.org/W2020299883","https://openalex.org/W2021095154","https://openalex.org/W2064007919","https://openalex.org/W2071965227","https://openalex.org/W2126578910","https://openalex.org/W2152558130","https://openalex.org/W2153972927","https://openalex.org/W2160536118","https://openalex.org/W2162747054","https://openalex.org/W2256063247","https://openalex.org/W2516950796","https://openalex.org/W2611804663"],"related_works":["https://openalex.org/W1967088250","https://openalex.org/W1990079087","https://openalex.org/W3202234113","https://openalex.org/W2154351074","https://openalex.org/W2151223307","https://openalex.org/W2023400509","https://openalex.org/W2332054630","https://openalex.org/W2590100594","https://openalex.org/W4399147211","https://openalex.org/W2898122376"],"abstract_inverted_index":{"This":[0],"paper":[1],"addresses":[2],"the":[3,24,44,55,65,91,97,101,111,121,126,151,162],"problem":[4,41],"of":[5,26,93,129,141,153,157,164],"designing":[6],"scaling":[7,167],"strategies":[8,75,168],"for":[9],"elastic":[10,166],"data":[11],"stream":[12],"processing.":[13],"Elasticity":[14],"allows":[15],"applications":[16],"to":[17,31,78,120],"rapidly":[18],"change":[19],"their":[20],"configuration":[21,58],"on-the-fly":[22],"(e.g.,":[23],"amount":[25],"used":[27,94,174],"resources)":[28],"in":[29,64,110,118,175],"response":[30],"dynamic":[32],"workload":[33],"fluctuations.":[34],"In":[35],"this":[36,40],"work":[37],"we":[38,136],"face":[39],"by":[42,67,89],"adopting":[43],"Model":[45],"Predictive":[46],"Control":[47],"technique,":[48],"a":[49,60,138,144],"control-theoretic":[50],"method":[51],"aimed":[52],"at":[53],"finding":[54],"optimal":[56],"application":[57],"along":[59],"limited":[61],"prediction":[62],"horizon":[63],"future":[66],"solving":[68],"an":[69],"online":[70],"optimization":[71],"problem.":[72],"Our":[73],"control":[74],"are":[76],"designed":[77],"address":[79],"latency":[80],"constraints,":[81],"using":[82],"Queueing":[83],"Theory":[84],"models,":[85],"and":[86,96,104,123,155,160],"energy":[87],"consumption":[88],"changing":[90],"number":[92],"cores":[95],"CPU":[98],"frequency":[99],"through":[100],"Dynamic":[102],"Voltage":[103],"Frequency":[105],"Scaling":[106],"(DVFS)":[107],"support":[108],"available":[109],"modern":[112],"multicore":[113],"CPUs.":[114],"The":[115,148],"proactive":[116],"capabilities,":[117],"addition":[119],"latency-":[122],"energy-awareness,":[124],"represent":[125],"novel":[127],"features":[128],"our":[130,134,158,165],"approach.":[131],"To":[132],"validate":[133],"methodology,":[135],"develop":[137],"thorough":[139],"set":[140],"experiments":[142],"on":[143],"high-frequency":[145],"trading":[146],"application.":[147],"results":[149],"demonstrate":[150],"high-degree":[152],"flexibility":[154],"configurability":[156],"approach,":[159],"show":[161],"effectiveness":[163],"compared":[169],"with":[170],"existing":[171],"state-of-the-art":[172],"techniques":[173],"similar":[176],"scenarios.":[177]},"counts_by_year":[{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":15},{"year":2018,"cited_by_count":13},{"year":2017,"cited_by_count":19},{"year":2016,"cited_by_count":6}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2016-06-24T00:00:00"}
