{"id":"https://openalex.org/W2247427928","doi":"https://doi.org/10.1109/tkde.2015.2493531","title":"Venus: Scalable Real-Time Spatial Queries on Microblogs with Adaptive Load Shedding","display_name":"Venus: Scalable Real-Time Spatial Queries on Microblogs with Adaptive Load Shedding","publication_year":2015,"publication_date":"2015-10-22","ids":{"openalex":"https://openalex.org/W2247427928","doi":"https://doi.org/10.1109/tkde.2015.2493531","mag":"2247427928"},"language":"en","primary_location":{"id":"doi:10.1109/tkde.2015.2493531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2015.2493531","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","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/A5052069452","display_name":"Amr Magdy","orcid":"https://orcid.org/0000-0001-6345-9730"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Amr Magdy","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007454642","display_name":"Mohamed F. Mokbel","orcid":"https://orcid.org/0000-0002-6686-1757"},"institutions":[{"id":"https://openalex.org/I130238516","display_name":"University of Minnesota","ror":"https://ror.org/017zqws13","country_code":"US","type":"education","lineage":["https://openalex.org/I130238516"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mohamed F. Mokbel","raw_affiliation_strings":["Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, University of Minnesota, Minneapolis, MN","institution_ids":["https://openalex.org/I130238516"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077856625","display_name":"Sameh Elnikety","orcid":"https://orcid.org/0000-0003-3478-2824"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sameh Elnikety","raw_affiliation_strings":["Microsoft Research, Redmond, WA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024224291","display_name":"Suman Nath","orcid":"https://orcid.org/0000-0001-7813-9756"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Suman Nath","raw_affiliation_strings":["Microsoft Research, Redmond, WA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040302174","display_name":"Yuxiong He","orcid":"https://orcid.org/0000-0003-0478-8854"},"institutions":[{"id":"https://openalex.org/I1290206253","display_name":"Microsoft (United States)","ror":"https://ror.org/00d0nc645","country_code":"US","type":"company","lineage":["https://openalex.org/I1290206253"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuxiong He","raw_affiliation_strings":["Microsoft Research, Redmond, WA"],"affiliations":[{"raw_affiliation_string":"Microsoft Research, Redmond, WA","institution_ids":["https://openalex.org/I1290206253"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5052069452"],"corresponding_institution_ids":["https://openalex.org/I130238516"],"apc_list":null,"apc_paid":null,"fwci":2.99404571,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.92971605,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"28","issue":"2","first_page":"356","last_page":"370"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10742","display_name":"Peer-to-Peer Network Technologies","score":0.9969000220298767,"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/T11478","display_name":"Caching and Content Delivery","score":0.9966999888420105,"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/microblogging","display_name":"Microblogging","score":0.7157340049743652},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.7123808860778809},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7036103010177612},{"id":"https://openalex.org/keywords/notation","display_name":"Notation","score":0.694027304649353},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.5466688871383667},{"id":"https://openalex.org/keywords/venus","display_name":"Venus","score":0.5297466516494751},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5165797472000122},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3778316378593445},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37586510181427},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.2670852541923523},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.21355891227722168},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19663885235786438},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.08318424224853516}],"concepts":[{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.7157340049743652},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.7123808860778809},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7036103010177612},{"id":"https://openalex.org/C45357846","wikidata":"https://www.wikidata.org/wiki/Q2001982","display_name":"Notation","level":2,"score":0.694027304649353},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5466688871383667},{"id":"https://openalex.org/C2779900269","wikidata":"https://www.wikidata.org/wiki/Q1408724","display_name":"Venus","level":2,"score":0.5297466516494751},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5165797472000122},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3778316378593445},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37586510181427},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.2670852541923523},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.21355891227722168},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19663885235786438},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.08318424224853516},{"id":"https://openalex.org/C87355193","wikidata":"https://www.wikidata.org/wiki/Q411","display_name":"Astrobiology","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:10.1109/tkde.2015.2493531","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tkde.2015.2493531","pdf_url":null,"source":{"id":"https://openalex.org/S30698027","display_name":"IEEE Transactions on Knowledge and Data Engineering","issn_l":"1041-4347","issn":["1041-4347","1558-2191","2326-3865"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Knowledge and Data Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3246115497","display_name":null,"funder_award_id":"IIS-0952977","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6497305885","display_name":null,"funder_award_id":"IIS-1218168","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1549255393","https://openalex.org/W1976146430","https://openalex.org/W1980672078","https://openalex.org/W1996748299","https://openalex.org/W1997485939","https://openalex.org/W1998032016","https://openalex.org/W2003645866","https://openalex.org/W2008196645","https://openalex.org/W2008754338","https://openalex.org/W2013579020","https://openalex.org/W2018165284","https://openalex.org/W2020360881","https://openalex.org/W2029237784","https://openalex.org/W2031517258","https://openalex.org/W2033201493","https://openalex.org/W2034497960","https://openalex.org/W2052635433","https://openalex.org/W2055483934","https://openalex.org/W2059629264","https://openalex.org/W2071043480","https://openalex.org/W2071080574","https://openalex.org/W2076538837","https://openalex.org/W2077578097","https://openalex.org/W2109144909","https://openalex.org/W2112129327","https://openalex.org/W2117618130","https://openalex.org/W2121117737","https://openalex.org/W2122371763","https://openalex.org/W2124499489","https://openalex.org/W2128721751","https://openalex.org/W2131098795","https://openalex.org/W2137958601","https://openalex.org/W2140048308","https://openalex.org/W2145131124","https://openalex.org/W2149510050","https://openalex.org/W2151345349","https://openalex.org/W2151451758","https://openalex.org/W2153522563","https://openalex.org/W2165878420","https://openalex.org/W2167275936","https://openalex.org/W2167355161","https://openalex.org/W2169307587","https://openalex.org/W2171645516","https://openalex.org/W2199743007","https://openalex.org/W2200482854","https://openalex.org/W2610788652","https://openalex.org/W6664416897","https://openalex.org/W6680441624"],"related_works":["https://openalex.org/W2197689339","https://openalex.org/W400091444","https://openalex.org/W2335126518","https://openalex.org/W2160089112","https://openalex.org/W2053241453","https://openalex.org/W2990348251","https://openalex.org/W2737239840","https://openalex.org/W203572254","https://openalex.org/W4248217339","https://openalex.org/W2064423464"],"abstract_inverted_index":{"Microblogging":[0],"services":[1,8],"have":[2],"become":[3],"among":[4],"the":[5,10,13,62,70,135,179,191,227,231,253,261],"most":[6],"popular":[7],"on":[9,40,46,74,150,225,260,268],"web":[11],"in":[12,22,69,92,125,154,217],"last":[14],"few":[15],"years.":[16],"This":[17,28],"led":[18],"to":[19,84,145,172,197,206,208,251,288],"significant":[20,174],"increase":[21],"data":[23,271],"size,":[24],"speed,":[25],"and":[26,52,103,140,157,230,244,272,292],"applications.":[27],"paper":[29],"presents":[30],"<i>Venus</i>":[31,42,83,110,184,214,238,281],";":[32],"a":[33,47,53,75,129,159],"system":[34,167],"that":[35,118,133,165,201,248,280],"supports":[36,43,282],"real-time":[37,90],"spatial":[38,48,228,243],"queries":[39,45,81,278],"microblogs.":[41],"its":[44,221],"boundary":[49,55],"<inline-formula><tex-math":[50,56,64,138,141],"notation=\"LaTeX\">$R$</tex-math></inline-formula>":[51,139],"temporal":[54,245],"notation=\"LaTeX\">$T$</tex-math></inline-formula>":[57,142],",":[58,143],"from":[59],"which":[60],"only":[61],"top-":[63],"notation=\"LaTeX\">$k$</tex-math></inline-formula>":[65],"microblogs":[66,91,124,196,200],"are":[67,202,249],"returned":[68],"query":[71,101,131,148,180,210,235,294],"answer":[72],"based":[73,224,267],"spatio-temporal":[76,116],"ranking":[77,246],"function.":[78],"Supporting":[79],"such":[80],"requires":[82],"digest":[85],"hundreds":[86],"of":[87,89,122,152,161,190,195,233,255,275,286,296],"millions":[88,151],"main-memory":[93],"with":[94,169],"high":[95,120,283],"rates,":[96],"yet,":[97],"it":[98],"provides":[99],"low":[100,147],"responses":[102],"efficient":[104,114],"memory":[105,162,175,185],"utilization.":[106],"To":[107],"this":[108],"end,":[109],"employs:":[111],"(1)":[112],"an":[113],"in-memory":[115],"index":[117],"digests":[119],"rates":[121,194,285],"incoming":[123,234],"real":[126,155,218,269],"time,":[127,156,219],"(2)":[128],"scalable":[130],"processor":[132],"prune":[134],"search":[136,277],"space,":[137],"effectively":[144],"provide":[146,166],"latency":[149,295],"items":[153],"(3)":[158],"group":[160],"optimization":[163,186],"techniques":[164,187],"administrators":[168],"different":[170,242],"options":[171],"save":[173],"resources":[176],"while":[177],"keeping":[178],"accuracy":[181],"almost":[182],"perfect.":[183],"make":[188],"use":[189],"local":[192],"arrival":[193,284],"smartly":[198],"shed":[199],"old":[203],"enough":[204],"not":[205],"contribute":[207],"any":[209],"answer.":[211],"In":[212],"addition,":[213],"can":[215,240],"adaptively,":[216],"adjust":[220],"load":[222],"shedding":[223],"both":[226],"distribution":[229],"parameters":[232],"loads.":[236],"All":[237],"components":[239],"accommodate":[241],"functions":[247],"able":[250],"capture":[252],"importance":[254],"each":[256],"dimension":[257],"differently":[258],"depending":[259],"applications":[262],"requirements.":[263],"Extensive":[264],"experimental":[265],"results":[266],"Twitter":[270],"actual":[273],"locations":[274],"Bing":[276],"show":[279],"up":[287],"64":[289],"K":[290],"microblogs/second":[291],"average":[293],"4":[297],"msec.":[298]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":5},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
