{"id":"https://openalex.org/W2052116012","doi":"https://doi.org/10.1145/2287056.2287061","title":"A case for tracking and exploiting inter-node and intra-node memory content sharing in virtualized large-scale parallel systems","display_name":"A case for tracking and exploiting inter-node and intra-node memory content sharing in virtualized large-scale parallel systems","publication_year":2012,"publication_date":"2012-06-18","ids":{"openalex":"https://openalex.org/W2052116012","doi":"https://doi.org/10.1145/2287056.2287061","mag":"2052116012"},"language":"en","primary_location":{"id":"doi:10.1145/2287056.2287061","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2287056.2287061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th international workshop on Virtualization Technologies in Distributed Computing Date","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/A5014855049","display_name":"Xia Lei","orcid":"https://orcid.org/0000-0001-8137-0529"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lei Xia","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077304920","display_name":"Peter A. Dinda","orcid":"https://orcid.org/0000-0001-5315-5987"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peter A. Dinda","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":13,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"11","last_page":"18"},"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/T11478","display_name":"Caching and Content Delivery","score":0.9998999834060669,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9997000098228455,"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":0.8767329454421997},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.5767592191696167},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.5423411130905151},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.5209695100784302},{"id":"https://openalex.org/keywords/overlay","display_name":"Overlay","score":0.5150496959686279},{"id":"https://openalex.org/keywords/memory-footprint","display_name":"Memory footprint","score":0.4719632863998413},{"id":"https://openalex.org/keywords/node","display_name":"Node (physics)","score":0.4631715416908264},{"id":"https://openalex.org/keywords/distributed-shared-memory","display_name":"Distributed shared memory","score":0.43649864196777344},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.43064746260643005},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.3149702548980713},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.28896281123161316},{"id":"https://openalex.org/keywords/uniform-memory-access","display_name":"Uniform memory access","score":0.23352676630020142},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.18132269382476807}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8767329454421997},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5767592191696167},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.5423411130905151},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.5209695100784302},{"id":"https://openalex.org/C136085584","wikidata":"https://www.wikidata.org/wiki/Q910289","display_name":"Overlay","level":2,"score":0.5150496959686279},{"id":"https://openalex.org/C74912251","wikidata":"https://www.wikidata.org/wiki/Q6815727","display_name":"Memory footprint","level":2,"score":0.4719632863998413},{"id":"https://openalex.org/C62611344","wikidata":"https://www.wikidata.org/wiki/Q1062658","display_name":"Node (physics)","level":2,"score":0.4631715416908264},{"id":"https://openalex.org/C39528615","wikidata":"https://www.wikidata.org/wiki/Q1229610","display_name":"Distributed shared memory","level":5,"score":0.43649864196777344},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.43064746260643005},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.3149702548980713},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.28896281123161316},{"id":"https://openalex.org/C51290061","wikidata":"https://www.wikidata.org/wiki/Q1936765","display_name":"Uniform memory access","level":4,"score":0.23352676630020142},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.18132269382476807},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"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/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2287056.2287061","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2287056.2287061","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 6th international workshop on Virtualization Technologies in Distributed Computing Date","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.296.8131","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.296.8131","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://v3vee.org/papers/vtdc12.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W10183529","https://openalex.org/W1589276590","https://openalex.org/W1606172465","https://openalex.org/W1984564341","https://openalex.org/W1997269120","https://openalex.org/W2040227800","https://openalex.org/W2063924830","https://openalex.org/W2065547432","https://openalex.org/W2071417930","https://openalex.org/W2094224023","https://openalex.org/W2096611465","https://openalex.org/W2100673955","https://openalex.org/W2106358932","https://openalex.org/W2121542813","https://openalex.org/W2126174593","https://openalex.org/W2126658609","https://openalex.org/W2144518192","https://openalex.org/W2152921908","https://openalex.org/W2165022815","https://openalex.org/W2216311525","https://openalex.org/W4205241946","https://openalex.org/W4231945399"],"related_works":["https://openalex.org/W2125264433","https://openalex.org/W4237401226","https://openalex.org/W4236777984","https://openalex.org/W2112457107","https://openalex.org/W2159716314","https://openalex.org/W2244179743","https://openalex.org/W2293728877","https://openalex.org/W1824582190","https://openalex.org/W254684032","https://openalex.org/W2541969701"],"abstract_inverted_index":{"In":[0],"virtualized":[1],"large-scale":[2],"parallel":[3,139],"systems":[4],"scientific":[5],"workloads":[6],"consist":[7],"of":[8,43,59,72,75,78,92,120,124,148,151,164],"numerous":[9],"processes":[10],"running":[11],"across":[12,51],"many":[13],"virtual":[14],"nodes.":[15,79],"Their":[16],"memory":[17,44,95,108,118,133],"footprint":[18],"is":[19,136],"massive,":[20],"and":[21,50,55,131,158,166,181,190,193],"this":[22,142],"has":[23],"consequences":[24],"for":[25,161],"services":[26],"that":[27,35,38,103,128,187],"enhance":[28,56],"performance,":[29],"reliability,":[30],"or":[31],"power.":[32],"We":[33,126,169],"argue":[34,127],"a":[36,73,76,93,101,145,162,183],"service":[37,102],"dynamically":[39],"tracks":[40],"the":[41,57,70,90,117,172],"sharing":[42,66,114,135,196],"content,":[45],"both":[46,129,149],"within":[47],"individual":[48],"nodes,":[49,52],"can":[53,188],"simplify":[54],"implementation":[58],"such":[60,195],"services.":[61],"For":[62],"example,":[63,82],"leveraging":[64],"content":[65,113,134],"could":[67,84,110],"significantly":[68],"reduce":[69],"size":[71],"checkpoint":[74],"group":[77],"As":[80],"another":[81],"it":[83],"speed":[85],"VM":[86],"migration":[87],"by":[88,106,144],"allowing":[89],"reconstruction":[91],"VM's":[94],"from":[96],"multiple":[97],"source":[98],"VMs.":[99],"Finally,":[100],"improves":[104],"reliability":[105],"introducing":[107],"redundancy":[109],"leverage":[111],"existing":[112],"to":[115,179],"minimize":[116],"costs":[119],"any":[121],"particular":[122],"level":[123,174],"redundancy.":[125],"intra-":[130],"inter-node":[132],"common":[137],"in":[138],"applications,":[140],"supporting":[141],"claim":[143],"detailed":[146],"study":[147],"kinds":[150],"sharing,":[152],"at":[153],"different":[154,156,159],"scales,":[155],"granularities,":[157],"times":[160],"range":[163],"applications":[165],"application":[167],"benchmarks.":[168],"then":[170],"describe":[171],"high":[173],"approach":[175],"we":[176],"are":[177],"taking":[178],"design":[180],"implement":[182],"distributed,":[184],"VMM-based":[185],"system":[186],"efficiently":[189],"scalably":[191],"identify":[192],"track":[194],"with":[197],"low":[198],"overhead.":[199]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}