{"id":"https://openalex.org/W4386903481","doi":"https://doi.org/10.1145/3565053.3565063","title":"Cronus: Computer Vision-based Machine Intelligent Hybrid Memory Management","display_name":"Cronus: Computer Vision-based Machine Intelligent Hybrid Memory Management","publication_year":2022,"publication_date":"2022-10-03","ids":{"openalex":"https://openalex.org/W4386903481","doi":"https://doi.org/10.1145/3565053.3565063"},"language":"en","primary_location":{"id":"doi:10.1145/3565053.3565063","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3565053.3565063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 International Symposium on Memory Systems","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/A5033123165","display_name":"Thaleia Dimitra Doudali","orcid":"https://orcid.org/0000-0002-3197-839X"},"institutions":[{"id":"https://openalex.org/I4210162154","display_name":"IMDEA Software Institute","ror":"https://ror.org/04xvfkh51","country_code":"ES","type":"facility","lineage":["https://openalex.org/I105140100","https://openalex.org/I4210162154"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Thaleia Dimitra Doudali","raw_affiliation_strings":["IMDEA Software Institute, Spain"],"affiliations":[{"raw_affiliation_string":"IMDEA Software Institute, Spain","institution_ids":["https://openalex.org/I4210162154"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085918364","display_name":"Ada Gavrilovska","orcid":"https://orcid.org/0000-0003-4199-2512"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ada Gavrilovska","raw_affiliation_strings":["Georgia Institute of Technology, United States"],"affiliations":[{"raw_affiliation_string":"Georgia Institute of Technology, United States","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5033123165"],"corresponding_institution_ids":["https://openalex.org/I4210162154"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.18047663,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.9961000084877014,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9944999814033508,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8633407950401306},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6377729177474976},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.5798274874687195},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.55622798204422},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5285193920135498},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4936274290084839},{"id":"https://openalex.org/keywords/page-fault","display_name":"Page fault","score":0.41591277718544006},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.39007893204689026},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.27346503734588623},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.21542972326278687},{"id":"https://openalex.org/keywords/virtual-memory","display_name":"Virtual memory","score":0.2095767855644226}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8633407950401306},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6377729177474976},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.5798274874687195},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.55622798204422},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5285193920135498},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4936274290084839},{"id":"https://openalex.org/C193343404","wikidata":"https://www.wikidata.org/wiki/Q1928607","display_name":"Page fault","level":5,"score":0.41591277718544006},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.39007893204689026},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27346503734588623},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.21542972326278687},{"id":"https://openalex.org/C76399640","wikidata":"https://www.wikidata.org/wiki/Q189401","display_name":"Virtual memory","level":4,"score":0.2095767855644226},{"id":"https://openalex.org/C136085584","wikidata":"https://www.wikidata.org/wiki/Q910289","display_name":"Overlay","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3565053.3565063","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3565053.3565063","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 International Symposium on Memory Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G893451388","display_name":null,"funder_award_id":"CNS-2016701,SPX-1822972","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"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":17,"referenced_works":["https://openalex.org/W1515711615","https://openalex.org/W2036853599","https://openalex.org/W2080592089","https://openalex.org/W2097749765","https://openalex.org/W2133003941","https://openalex.org/W2796645376","https://openalex.org/W2888689618","https://openalex.org/W2949383392","https://openalex.org/W2964084429","https://openalex.org/W2967147799","https://openalex.org/W2978605731","https://openalex.org/W2988190042","https://openalex.org/W3011083606","https://openalex.org/W3138221395","https://openalex.org/W3153963463","https://openalex.org/W3173964808","https://openalex.org/W4285815122"],"related_works":["https://openalex.org/W2078640694","https://openalex.org/W2060267190","https://openalex.org/W2038379180","https://openalex.org/W3149406234","https://openalex.org/W2014339615","https://openalex.org/W2071490148","https://openalex.org/W1569272948","https://openalex.org/W71081774","https://openalex.org/W2132250613","https://openalex.org/W310629987"],"abstract_inverted_index":{"Current":[0],"state-of-the-art":[1],"resource":[2],"management":[3,102],"systems":[4,254],"leverage":[5],"Machine":[6],"Learning":[7],"(ML)":[8],"methods":[9,111,187,242],"to":[10,31,71,131,189,197],"enable":[11],"the":[12,42,47,73,79,96,113,121,124,140,182,194,212,217,220,249],"efficient":[13],"use":[14,43,66,193],"of":[15,39,44,76,78,115,123,144,219,226,252],"heterogeneous":[16],"memory":[17,52,126,172,230],"hardware,":[18],"deployed":[19],"across":[20],"emerging":[21,253],"computing":[22],"platforms.":[23],"While":[24],"machine":[25,100,146,205,227],"intelligence":[26],"can":[27,243],"be":[28],"effectively":[29],"used":[30],"learn":[32],"and":[33,51,82,153,175,178,200,223,239,247],"predict":[34,72],"complex":[35],"data":[36,49],"access":[37,74,173],"patterns":[38,174,199],"modern":[40],"analytics,":[41],"ML":[45,84],"over":[46,86],"exploded":[48],"sizes":[50],"footprints":[53],"is":[54],"prohibitive":[55],"for":[56,99,150,164,167,204],"its":[57],"practical":[58],"system-level":[59],"integration.":[60],"For":[61],"this":[62,156],"reason,":[63],"recent":[64],"solutions":[65],"existing":[67,141],"lightweight":[68],"historical":[69],"information":[70],"behavior":[75],"majority":[77],"application":[80,93],"pages,":[81,184],"train":[83],"models":[85],"a":[87,235],"small":[88],"page":[89,107,202,221],"subset.":[90],"To":[91,155],"maximize":[92],"performance":[94,117,152,225],"improvements,":[95],"pages":[97,166],"selected":[98,183],"learning-based":[101],"are":[103],"identified":[104],"with":[105],"elaborate":[106],"selection":[108,222],"methods.":[109],"These":[110],"involve":[112],"calculation":[114],"detailed":[116],"estimates":[118],"depending":[119],"on":[120],"configuration":[122],"hybrid":[125,229],"platform.":[127],"This":[128,232],"paper":[129],"aims":[130],"reduce":[132,248],"such":[133],"vast":[134],"operational":[135,213,250],"overheads,":[136],"that":[137,185,237],"further":[138],"exacerbate":[139],"high":[142,151],"overheads":[143],"using":[145],"intelligence,":[147],"in":[148],"return":[149],"efficiency.":[154],"end,":[157],"we":[158],"build":[159],"Cronus,":[160],"an":[161],"image-based":[162],"pipeline":[163],"selecting":[165],"ML-based":[168],"management.":[169,231],"We":[170,191],"visualize":[171],"reveal":[176],"spatial":[177],"temporal":[179],"correlations":[180],"among":[181],"current":[186],"fail":[188],"leverage.":[190],"then":[192],"created":[195],"images":[196],"detect":[198],"select":[201],"groups":[203],"learning":[206],"model":[207],"deployment.":[208],"Cronus":[209],"drastically":[210],"reduces":[211],"costs,":[214],"while":[215],"preserving":[216],"effectiveness":[218],"achieved":[224],"intelligent":[228],"work":[233],"makes":[234],"case":[236],"visualization":[238],"computer":[240],"vision":[241],"unlock":[244],"new":[245],"insights":[246],"complexity":[251],"solutions.":[255]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}