{"id":"https://openalex.org/W2005668597","doi":"https://doi.org/10.4018/jgc.2010070102","title":"Optimal Server Allocation and Frequency Modulation on Multi-Core Based Server Clusters","display_name":"Optimal Server Allocation and Frequency Modulation on Multi-Core Based Server Clusters","publication_year":2010,"publication_date":"2010-07-01","ids":{"openalex":"https://openalex.org/W2005668597","doi":"https://doi.org/10.4018/jgc.2010070102","mag":"2005668597"},"language":"en","primary_location":{"id":"doi:10.4018/jgc.2010070102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jgc.2010070102","pdf_url":null,"source":{"id":"https://openalex.org/S4210190456","display_name":"International Journal of Green Computing","issn_l":"1948-5018","issn":["1948-5018","1948-5026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Green Computing","raw_type":"journal-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/A5029907412","display_name":"Xinying Zheng","orcid":null},"institutions":[{"id":"https://openalex.org/I11957088","display_name":"Michigan Technological University","ror":"https://ror.org/0036rpn28","country_code":"US","type":"education","lineage":["https://openalex.org/I11957088"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinying Zheng","raw_affiliation_strings":["Michigan Technological University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan Technological University, USA","institution_ids":["https://openalex.org/I11957088"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101862660","display_name":"Yu Cai","orcid":"https://orcid.org/0000-0002-1697-4825"},"institutions":[{"id":"https://openalex.org/I11957088","display_name":"Michigan Technological University","ror":"https://ror.org/0036rpn28","country_code":"US","type":"education","lineage":["https://openalex.org/I11957088"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yu Cai","raw_affiliation_strings":["Michigan Technological University, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Michigan Technological University, USA","institution_ids":["https://openalex.org/I11957088"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.5681,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.93854373,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"1","issue":"2","first_page":"18","last_page":"30"},"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/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9998000264167786,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9995999932289124,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/frequency-scaling","display_name":"Frequency scaling","score":0.8193976283073425},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.762479305267334},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.6512675881385803},{"id":"https://openalex.org/keywords/overhead","display_name":"Overhead (engineering)","score":0.6211708784103394},{"id":"https://openalex.org/keywords/power-management","display_name":"Power management","score":0.5885399580001831},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.49904870986938477},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4721683859825134},{"id":"https://openalex.org/keywords/energy-consumption","display_name":"Energy consumption","score":0.43548697233200073},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.4101479649543762},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.3661084473133087},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.35920149087905884},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.26205047965049744},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.24103060364723206},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.11762818694114685},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1084783673286438}],"concepts":[{"id":"https://openalex.org/C157742956","wikidata":"https://www.wikidata.org/wiki/Q3237776","display_name":"Frequency scaling","level":3,"score":0.8193976283073425},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.762479305267334},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.6512675881385803},{"id":"https://openalex.org/C2779960059","wikidata":"https://www.wikidata.org/wiki/Q7113681","display_name":"Overhead (engineering)","level":2,"score":0.6211708784103394},{"id":"https://openalex.org/C2778774385","wikidata":"https://www.wikidata.org/wiki/Q4437810","display_name":"Power management","level":3,"score":0.5885399580001831},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.49904870986938477},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4721683859825134},{"id":"https://openalex.org/C2780165032","wikidata":"https://www.wikidata.org/wiki/Q16869822","display_name":"Energy consumption","level":2,"score":0.43548697233200073},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.4101479649543762},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.3661084473133087},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.35920149087905884},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.26205047965049744},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.24103060364723206},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.11762818694114685},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1084783673286438},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.4018/jgc.2010070102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jgc.2010070102","pdf_url":null,"source":{"id":"https://openalex.org/S4210190456","display_name":"International Journal of Green Computing","issn_l":"1948-5018","issn":["1948-5018","1948-5026"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Green Computing","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:igg:jgc000:v:1:y:2010:i:2:p:18-30","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jgc.2010070102","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6499999761581421,"id":"https://metadata.un.org/sdg/7","display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1523209876","https://openalex.org/W1523544438","https://openalex.org/W1544509019","https://openalex.org/W1884151001","https://openalex.org/W1964842031","https://openalex.org/W2016333825","https://openalex.org/W2030810346","https://openalex.org/W2032207428","https://openalex.org/W2038606794","https://openalex.org/W2064359039","https://openalex.org/W2071311487","https://openalex.org/W2100397374","https://openalex.org/W2100948980","https://openalex.org/W2112960284","https://openalex.org/W2114819392","https://openalex.org/W2117212672","https://openalex.org/W2118361812","https://openalex.org/W2118955868","https://openalex.org/W2126542630","https://openalex.org/W2128033718","https://openalex.org/W2129685400","https://openalex.org/W2130378534","https://openalex.org/W2131801611","https://openalex.org/W2135801091","https://openalex.org/W2139161776","https://openalex.org/W2145625823","https://openalex.org/W2155746159","https://openalex.org/W2159765572","https://openalex.org/W2163064094","https://openalex.org/W2163836105","https://openalex.org/W2172016740","https://openalex.org/W2359086316","https://openalex.org/W4235142717","https://openalex.org/W4250548712","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1967088250","https://openalex.org/W2144034023","https://openalex.org/W4245552802","https://openalex.org/W2135721350","https://openalex.org/W2036903086","https://openalex.org/W4287778142","https://openalex.org/W3025960525","https://openalex.org/W4238485050","https://openalex.org/W2134782496","https://openalex.org/W2055708881"],"abstract_inverted_index":{"Multi-core":[0],"processing":[1],"has":[2],"been":[3],"widely":[4],"used":[5],"in":[6,17,57],"high-performance":[7],"computing":[8],"systems.":[9],"Power":[10],"reduction":[11],"and":[12,35,52,54,85,104,141],"energy":[13],"conservation":[14],"are":[15],"important":[16],"these":[18],"systems":[19],"to":[20,68,112],"minimize":[21],"operating":[22],"cost.":[23],"Two":[24],"main":[25],"strategies":[26],"exist":[27],"for":[28],"power":[29,87,118],"management:":[30],"Dynamic":[31],"Voltage/Frequency":[32],"Scaling":[33],"(DV/FS)":[34],"server":[36,61],"number":[37],"controlling:":[38],"Vary-On":[39],"Vary-Off":[40],"(VOVF).":[41],"In":[42],"this":[43],"paper,":[44],"the":[45,48,70,98,101,114,131,139,144],"authors":[46,95],"explore":[47],"benefits":[49],"of":[50,100,143],"DV/FS":[51],"VOVF":[53],"apply":[55],"them":[56],"a":[58,76,106],"multi-core":[59],"based":[60],"cluster.":[62],"An":[63],"optimization":[64,81,119],"problem":[65],"is":[66,121,127],"formulated":[67],"get":[69],"optimal":[71],"resource":[72],"scheduling":[73],"strategy":[74],"given":[75],"parallel":[77],"workload.":[78],"The":[79,94,117,136],"presented":[80],"model":[82,120],"provides":[83],"controllable":[84],"quantitative":[86],"consumption":[88],"with":[89],"theoretically":[90],"guaranteed":[91],"service":[92],"performance.":[93],"further":[96],"study":[97],"overhead":[99],"proposed":[102,145],"scheme":[103],"provide":[105],"Double":[107],"Control":[108],"Periods":[109],"(DCP)":[110],"method":[111],"compensate":[113],"transition":[115],"overhead.":[116],"evaluated":[122],"via":[123],"extensive":[124],"simulations.":[125],"It":[126],"also":[128],"justified":[129],"by":[130],"real":[132],"workload":[133],"data":[134],"trace.":[135],"results":[137],"prove":[138],"effectiveness":[140],"efficiency":[142],"model.":[146]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
