{"id":"https://openalex.org/W2528483069","doi":"https://doi.org/10.1109/iiswc.2016.7581266","title":"Characterization and mitigation of power contention across multiprogrammed workloads","display_name":"Characterization and mitigation of power contention across multiprogrammed workloads","publication_year":2016,"publication_date":"2016-09-01","ids":{"openalex":"https://openalex.org/W2528483069","doi":"https://doi.org/10.1109/iiswc.2016.7581266","mag":"2528483069"},"language":"en","primary_location":{"id":"doi:10.1109/iiswc.2016.7581266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iiswc.2016.7581266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Workload Characterization (IISWC)","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/A5101735061","display_name":"Hiroshi Sasaki","orcid":"https://orcid.org/0000-0001-7221-0742"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hiroshi Sasaki","raw_affiliation_strings":["Columbia University"],"affiliations":[{"raw_affiliation_string":"Columbia University","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044824009","display_name":"Alper Buyuktosunoglu","orcid":"https://orcid.org/0000-0002-5341-8916"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Alper Buyuktosunoglu","raw_affiliation_strings":["IBM T. J. Watson Research Center"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080120621","display_name":"Augusto Vega","orcid":"https://orcid.org/0000-0001-6521-7137"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Augusto Vega","raw_affiliation_strings":["IBM T. J. Watson Research Center"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009866527","display_name":"Pradip Bose","orcid":"https://orcid.org/0000-0002-1380-5671"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pradip Bose","raw_affiliation_strings":["IBM T. J. Watson Research Center"],"affiliations":[{"raw_affiliation_string":"IBM T. J. Watson Research Center","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101735061"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":null,"apc_paid":null,"fwci":0.3153,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.58369381,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":1.0,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9993000030517578,"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/T10829","display_name":"Interconnection Networks and Systems","score":0.9993000030517578,"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":0.8424937725067139},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.796523928642273},{"id":"https://openalex.org/keywords/spec#","display_name":"Spec#","score":0.7847515344619751},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6090571880340576},{"id":"https://openalex.org/keywords/power-consumption","display_name":"Power consumption","score":0.5151563882827759},{"id":"https://openalex.org/keywords/power-budget","display_name":"Power budget","score":0.4678654670715332},{"id":"https://openalex.org/keywords/multi-core-processor","display_name":"Multi-core processor","score":0.4380887746810913},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.4217774271965027},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.40378105640411377},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.36696428060531616},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.33059296011924744},{"id":"https://openalex.org/keywords/electric-power-system","display_name":"Electric power system","score":0.23063552379608154},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16879859566688538}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8424937725067139},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.796523928642273},{"id":"https://openalex.org/C2778565505","wikidata":"https://www.wikidata.org/wiki/Q2207566","display_name":"Spec#","level":2,"score":0.7847515344619751},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6090571880340576},{"id":"https://openalex.org/C2984118289","wikidata":"https://www.wikidata.org/wiki/Q29954","display_name":"Power consumption","level":3,"score":0.5151563882827759},{"id":"https://openalex.org/C149768029","wikidata":"https://www.wikidata.org/wiki/Q1509342","display_name":"Power budget","level":4,"score":0.4678654670715332},{"id":"https://openalex.org/C78766204","wikidata":"https://www.wikidata.org/wiki/Q555032","display_name":"Multi-core processor","level":2,"score":0.4380887746810913},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.4217774271965027},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.40378105640411377},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.36696428060531616},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.33059296011924744},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.23063552379608154},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16879859566688538},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/iiswc.2016.7581266","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iiswc.2016.7581266","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE International Symposium on Workload Characterization (IISWC)","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":37,"referenced_works":["https://openalex.org/W1961751213","https://openalex.org/W1971165887","https://openalex.org/W1977661221","https://openalex.org/W1988005842","https://openalex.org/W1997374610","https://openalex.org/W2006312753","https://openalex.org/W2020941558","https://openalex.org/W2024946198","https://openalex.org/W2027177485","https://openalex.org/W2036853599","https://openalex.org/W2046107229","https://openalex.org/W2060032722","https://openalex.org/W2072001046","https://openalex.org/W2082545328","https://openalex.org/W2086291744","https://openalex.org/W2098040113","https://openalex.org/W2098278566","https://openalex.org/W2102709380","https://openalex.org/W2103397328","https://openalex.org/W2118955868","https://openalex.org/W2129548165","https://openalex.org/W2129846162","https://openalex.org/W2132269953","https://openalex.org/W2134026160","https://openalex.org/W2143773524","https://openalex.org/W2156077332","https://openalex.org/W2160121678","https://openalex.org/W2170544909","https://openalex.org/W2401305386","https://openalex.org/W3103104567","https://openalex.org/W3127272194","https://openalex.org/W3144141583","https://openalex.org/W4238816702","https://openalex.org/W4240262711","https://openalex.org/W6651700774","https://openalex.org/W6662363914","https://openalex.org/W6679994278"],"related_works":["https://openalex.org/W878150521","https://openalex.org/W2008941207","https://openalex.org/W2883256816","https://openalex.org/W2373662841","https://openalex.org/W4243132314","https://openalex.org/W2298526277","https://openalex.org/W1965052050","https://openalex.org/W2735584550","https://openalex.org/W1987176048","https://openalex.org/W1987912519"],"abstract_inverted_index":{"Shared":[0],"resource":[1],"contention":[2,67,139,196],"has":[3],"been":[4],"a":[5,90,127,154,163,177],"major":[6],"performance":[7,109,135,160,190,199],"issue":[8],"for":[9,54,111,140],"CMPs.":[10,28],"In":[11,119,173],"this":[12,87,123],"paper":[13],"we":[14,125,175],"focus":[15],"on":[16,181],"power,":[17],"which":[18,78,167],"is":[19,32,193],"one":[20],"of":[21,27,42,156,183],"the":[22,40,59,66,70,76,103,138,143,148,184],"most":[23],"valuable":[24],"shared":[25,128,144],"resources":[26],"We":[29,85,106],"believe":[30],"it":[31],"important":[33],"to":[34,64,121],"study":[35],"power":[36,43,55,60,71,98,117,141,195],"contention,":[37],"especially":[38,114],"with":[39,93,97],"prevalence":[41],"capping":[44,99],"features":[45],"among":[46],"modern":[47],"commercial":[48],"microprocessors.":[49],"When":[50],"multiple":[51],"processes":[52],"compete":[53],"in":[56,80],"such":[57],"systems,":[58],"management":[61],"system":[62,83,134],"attempts":[63],"mitigate":[65],"(i.e.,":[68],"reduce":[69],"consumption)":[72],"by":[73,102,136],"slowing":[74],"down":[75],"processor,":[77],"results":[79,152],"degraded":[81],"total":[82],"performance.":[84],"characterize":[86],"phenomenon":[88],"using":[89],"real":[91],"testbed":[92],"an":[94],"Intel":[95],"processor":[96],"capability":[100],"realized":[101],"RAPL":[104],"technology.":[105],"observe":[107],"noticeable":[108],"degradation":[110],"SPEC":[112],"CPU2006,":[113],"at":[115,147],"tighter":[116],"caps.":[118],"order":[120],"solve":[122],"problem,":[124],"develop":[126],"resourceaware":[129],"scheduling":[130,165],"algorithm":[131],"that":[132,187,197],"improves":[133,189],"mitigating":[137],"and":[142],"memory":[145,170],"subsystem":[146,171],"same":[149],"time.":[150],"Evaluation":[151],"across":[153],"variety":[155],"multiprogrammed":[157],"workloads":[158],"show":[159],"improvements":[161],"over":[162],"state-of-the-art":[164],"policy":[166],"only":[168],"considers":[169],"contention.":[172],"addition,":[174],"present":[176],"guard":[178],"mechanism":[179],"implemented":[180],"top":[182],"proposed":[185],"scheduler":[186],"greatly":[188],"when":[191],"there":[192],"severe":[194],"introduces":[198],"anomalies.":[200]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
