{"id":"https://openalex.org/W2842361952","doi":"https://doi.org/10.1109/icdew.2018.00027","title":"Life Cycle of Transactional Data in In-memory Databases","display_name":"Life Cycle of Transactional Data in In-memory Databases","publication_year":2018,"publication_date":"2018-04-01","ids":{"openalex":"https://openalex.org/W2842361952","doi":"https://doi.org/10.1109/icdew.2018.00027","mag":"2842361952"},"language":"en","primary_location":{"id":"doi:10.1109/icdew.2018.00027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdew.2018.00027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW)","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/A5075746363","display_name":"Amit Pathak","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Amit Pathak","raw_affiliation_strings":["SAP Labs, Pune, India"],"affiliations":[{"raw_affiliation_string":"SAP Labs, Pune, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000271585","display_name":"Aditya Gurajada","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aditya Gurajada","raw_affiliation_strings":["SAP Labs, Pune, India"],"affiliations":[{"raw_affiliation_string":"SAP Labs, Pune, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027527327","display_name":"Pushkar Khadilkar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pushkar Khadilkar","raw_affiliation_strings":["SAP Labs, Pune, India"],"affiliations":[{"raw_affiliation_string":"SAP Labs, Pune, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075746363"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3691,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63612197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"122","last_page":"133"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10772","display_name":"Distributed systems and fault tolerance","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"}},"topics":[{"id":"https://openalex.org/T10772","display_name":"Distributed systems and fault tolerance","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/T10101","display_name":"Cloud Computing and Resource Management","score":0.9970999956130981,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.9965999722480774,"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":0.8439817428588867},{"id":"https://openalex.org/keywords/online-transaction-processing","display_name":"Online transaction processing","score":0.781519889831543},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.678231418132782},{"id":"https://openalex.org/keywords/transaction-processing","display_name":"Transaction processing","score":0.6275233030319214},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.5200645327568054},{"id":"https://openalex.org/keywords/transaction-processing-system","display_name":"Transaction processing system","score":0.4929821491241455},{"id":"https://openalex.org/keywords/computer-data-storage","display_name":"Computer data storage","score":0.43982088565826416},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.43781647086143494},{"id":"https://openalex.org/keywords/transaction-data","display_name":"Transaction data","score":0.41427505016326904},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.4119032621383667}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8439817428588867},{"id":"https://openalex.org/C191087605","wikidata":"https://www.wikidata.org/wiki/Q1501395","display_name":"Online transaction processing","level":4,"score":0.781519889831543},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.678231418132782},{"id":"https://openalex.org/C72108876","wikidata":"https://www.wikidata.org/wiki/Q844565","display_name":"Transaction processing","level":3,"score":0.6275233030319214},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.5200645327568054},{"id":"https://openalex.org/C11354467","wikidata":"https://www.wikidata.org/wiki/Q953487","display_name":"Transaction processing system","level":4,"score":0.4929821491241455},{"id":"https://openalex.org/C194739806","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Computer data storage","level":2,"score":0.43982088565826416},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.43781647086143494},{"id":"https://openalex.org/C127722929","wikidata":"https://www.wikidata.org/wiki/Q7833714","display_name":"Transaction data","level":3,"score":0.41427505016326904},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.4119032621383667}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icdew.2018.00027","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdew.2018.00027","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE 34th International Conference on Data Engineering Workshops (ICDEW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5199999809265137,"id":"https://metadata.un.org/sdg/12","display_name":"Responsible consumption and production"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W74743223","https://openalex.org/W1785356562","https://openalex.org/W2005734204","https://openalex.org/W2014977566","https://openalex.org/W2036529822","https://openalex.org/W2039910065","https://openalex.org/W2054075931","https://openalex.org/W2102729946","https://openalex.org/W2143522680","https://openalex.org/W2163231231","https://openalex.org/W2164502281","https://openalex.org/W2183342041","https://openalex.org/W2491738624","https://openalex.org/W3138135046","https://openalex.org/W6634624844","https://openalex.org/W6680852931"],"related_works":["https://openalex.org/W2123909466","https://openalex.org/W2991521312","https://openalex.org/W4288089517","https://openalex.org/W579270350","https://openalex.org/W2981349997","https://openalex.org/W2545898663","https://openalex.org/W2017040309","https://openalex.org/W2372897440","https://openalex.org/W2403667029","https://openalex.org/W2125608776"],"abstract_inverted_index":{"The":[0,64,131,157],"last":[1],"decade":[2],"has":[3],"witnessed":[4],"an":[5],"explosive":[6],"growth":[7],"in":[8,121,197],"database":[9,56,68],"engines":[10],"optimized":[11,44],"for":[12,33,45,85,92,100,142],"main":[13],"memory":[14,191],"based":[15,83,103],"execution.":[16],"However,":[17],"the":[18,23,54,101,108,118,122,128,136,143,150,172,190],"requirement":[19],"to":[20,61,127,135,138,149],"store":[21],"all":[22,209],"data":[24,155,210],"in-memory":[25,89],"makes":[26],"such":[27],"processing":[28,73],"commercially":[29],"costly":[30],"and":[31,59,88,116,152,177],"unviable":[32],"very":[34],"large":[35,195],"databases.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40],"present":[41],"novel":[42],"techniques":[43,96,132,187],"transactional":[46],"workloads":[47],"where":[48,208],"only":[49],"a":[50,194,206],"small":[51],"portion":[52],"of":[53,79,107,174,179],"entire":[55],"is":[57,112,146,211],"\"hot\"":[58],"needs":[60],"be":[62],"in-memory.":[63,213],"SAP":[65],"ASE":[66],"hybrid":[67],"engine":[69],"delivers":[70],"high-performance":[71],"transaction":[72,129],"transparently":[74],"on":[75,104],"tiered":[76],"storage":[77,91,98,140,158],"consisting":[78],"traditional":[80],"page-oriented":[81],"disk":[82],"storage,":[84],"cold":[86],"data,":[87,144],"row":[90,176],"fast":[93],"processing.":[94],"Our":[95,182],"make":[97],"choice":[99],"rows":[102],"access":[105],"patterns":[106],"OLTP":[109,198],"workload.":[110],"This":[111],"done":[113],"by":[114,193],"monitoring":[115],"analysing":[117],"workload":[119,137,199],"running":[120],"system":[123],"with":[124,205],"minimal":[125],"impact":[126],"performance.":[130],"also":[133],"adapt":[134],"alter":[139],"choices":[141,159],"which":[145],"completely":[147],"transparent":[148],"application":[151],"provides":[153],"continuous":[154],"access.":[156],"are":[160],"not":[161],"made":[162,170],"at":[163,171],"gross":[164],"table":[165],"or":[166],"partition":[167],"level":[168,173],"but":[169],"individual":[175],"type":[178],"DML":[180],"operation.":[181],"result":[183],"show":[184],"that":[185],"these":[186],"help":[188],"reduce":[189],"footprint":[192],"margin":[196],"even":[200],"while":[201],"providing":[202],"performance":[203],"parity":[204],"setup":[207],"stored":[212]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
