{"id":"https://openalex.org/W2152833543","doi":"https://doi.org/10.1145/2487575.2488221","title":"Dynamic memory allocation policies for postings in real-time Twitter search","display_name":"Dynamic memory allocation policies for postings in real-time Twitter search","publication_year":2013,"publication_date":"2013-08-11","ids":{"openalex":"https://openalex.org/W2152833543","doi":"https://doi.org/10.1145/2487575.2488221","mag":"2152833543"},"language":"en","primary_location":{"id":"doi:10.1145/2487575.2488221","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2487575.2488221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining","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/A5048421272","display_name":"Nima Asadi","orcid":"https://orcid.org/0000-0002-5102-6927"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nima Asadi","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082997975","display_name":"Jimmy Lin","orcid":"https://orcid.org/0000-0002-0661-7189"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jimmy Lin","raw_affiliation_strings":["University of Maryland, College Park, MD, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park, MD, USA","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090958241","display_name":"Michael Busch","orcid":"https://orcid.org/0000-0003-2474-7523"},"institutions":[{"id":"https://openalex.org/I113979032","display_name":"Twitter (United States)","ror":"https://ror.org/04wt43v05","country_code":"US","type":"company","lineage":["https://openalex.org/I113979032"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Busch","raw_affiliation_strings":["Twitter, San Francisco, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Twitter, San Francisco, CA, USA","institution_ids":["https://openalex.org/I113979032"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1186","last_page":"1194"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9980000257492065,"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/T11478","display_name":"Caching and Content Delivery","score":0.9980000257492065,"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/T10286","display_name":"Information Retrieval and Search Behavior","score":0.9976999759674072,"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/T12288","display_name":"Optimization and Search Problems","score":0.996399998664856,"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":0.8054026365280151},{"id":"https://openalex.org/keywords/goldilocks-principle","display_name":"Goldilocks principle","score":0.7434406280517578},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.5782663226127625},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5186459422111511},{"id":"https://openalex.org/keywords/memory-management","display_name":"Memory management","score":0.4412001371383667},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4106981158256531},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.21535947918891907},{"id":"https://openalex.org/keywords/semiconductor-memory","display_name":"Semiconductor memory","score":0.14986750483512878},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1180824339389801}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8054026365280151},{"id":"https://openalex.org/C177321328","wikidata":"https://www.wikidata.org/wiki/Q13580479","display_name":"Goldilocks principle","level":2,"score":0.7434406280517578},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.5782663226127625},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5186459422111511},{"id":"https://openalex.org/C176649486","wikidata":"https://www.wikidata.org/wiki/Q2308807","display_name":"Memory management","level":3,"score":0.4412001371383667},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4106981158256531},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.21535947918891907},{"id":"https://openalex.org/C98986596","wikidata":"https://www.wikidata.org/wiki/Q1143031","display_name":"Semiconductor memory","level":2,"score":0.14986750483512878},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1180824339389801},{"id":"https://openalex.org/C87355193","wikidata":"https://www.wikidata.org/wiki/Q411","display_name":"Astrobiology","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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":1,"locations":[{"id":"doi:10.1145/2487575.2488221","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2487575.2488221","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1544843123","https://openalex.org/W1845494277","https://openalex.org/W1878829488","https://openalex.org/W1899349177","https://openalex.org/W1982858363","https://openalex.org/W1984614894","https://openalex.org/W2049342105","https://openalex.org/W2071080574","https://openalex.org/W2076471773","https://openalex.org/W2097406895","https://openalex.org/W2121854496","https://openalex.org/W2122416857","https://openalex.org/W2122465391","https://openalex.org/W2125203709","https://openalex.org/W2140795521","https://openalex.org/W2152437528","https://openalex.org/W2157008678","https://openalex.org/W2199743007","https://openalex.org/W2339562433","https://openalex.org/W2624304035","https://openalex.org/W6687467890","https://openalex.org/W6703967046"],"related_works":["https://openalex.org/W2075370846","https://openalex.org/W3092476706","https://openalex.org/W2051523251","https://openalex.org/W4256501598","https://openalex.org/W4247168545","https://openalex.org/W4255005164","https://openalex.org/W2140941076","https://openalex.org/W4255575434","https://openalex.org/W2071213291","https://openalex.org/W4291139288"],"abstract_inverted_index":{"We":[0,102],"explore":[1,132],"a":[2,12,32,66,73,88,104,116],"real-time":[3],"Twitter":[4],"search":[5,20],"application":[6],"where":[7],"tweets":[8],"are":[9,53],"arriving":[10],"at":[11],"rate":[13],"of":[14,34,119,123],"several":[15],"thousands":[16],"per":[17],"second.":[18],"Real-time":[19],"demands":[21],"that":[22,52,79,90,109,135],"they":[23],"be":[24,63],"indexed":[25],"and":[26,96,129,141],"searchable":[27],"immediately,":[28],"which":[29],"leads":[30,83,97],"to":[31,84,98],"number":[33,118],"implementation":[35],"challenges.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40,131],"focus":[41],"on":[42],"one":[43],"aspect:":[44],"dynamic":[45,105],"postings":[46,100,106],"allocation":[47,77,107],"policies":[48],"for":[49],"index":[50],"structures":[51],"completely":[54],"held":[55],"in":[56,112],"main":[57],"memory.":[58,124],"The":[59],"core":[60],"issue":[61],"can":[62],"characterized":[64],"as":[65],"\"Goldilocks":[67],"Problem\".":[68],"Because":[69],"memory":[70,111],"remains":[71],"today":[72],"scare":[74],"resource,":[75],"an":[76,126],"policy":[78,89,108],"is":[80,91,94],"too":[81,92],"aggressive":[82],"inefficient":[85],"utilization,":[86],"while":[87],"conservative":[93],"slow":[95],"fragmented":[99],"lists.":[101],"present":[103],"allocates":[110],"increasingly-larger":[113],"\"slices\"":[114],"from":[115],"small":[117],"large,":[120],"fixed":[121],"pools":[122],"With":[125],"analytical":[127],"model":[128],"experiments,":[130],"different":[133],"settings":[134],"balance":[136],"time":[137],"(query":[138],"evaluation":[139],"speed)":[140],"space":[142],"(memory":[143],"utilization).":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3},{"year":2013,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
