{"id":"https://openalex.org/W2299020861","doi":"https://doi.org/10.1007/s10619-017-7196-y","title":"TAPER: query-aware, partition-enhancement for large, heterogenous graphs","display_name":"TAPER: query-aware, partition-enhancement for large, heterogenous graphs","publication_year":2017,"publication_date":"2017-05-02","ids":{"openalex":"https://openalex.org/W2299020861","doi":"https://doi.org/10.1007/s10619-017-7196-y","mag":"2299020861"},"language":"en","primary_location":{"id":"doi:10.1007/s10619-017-7196-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10619-017-7196-y","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10619-017-7196-y.pdf","source":{"id":"https://openalex.org/S35927321","display_name":"Distributed and Parallel Databases","issn_l":"0926-8782","issn":["0926-8782","1573-7578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Distributed and Parallel Databases","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007%2Fs10619-017-7196-y.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065902266","display_name":"Hugo Firth","orcid":null},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hugo Firth","raw_affiliation_strings":["School of Computing Science, Newcastle University, Newcastle upon Tyne, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing Science, Newcastle University, Newcastle upon Tyne, UK","institution_ids":["https://openalex.org/I84884186"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018918066","display_name":"Paolo Missier","orcid":"https://orcid.org/0000-0002-0978-2446"},"institutions":[{"id":"https://openalex.org/I84884186","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70","country_code":"GB","type":"education","lineage":["https://openalex.org/I84884186"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Paolo Missier","raw_affiliation_strings":["School of Computing Science, Newcastle University, Newcastle upon Tyne, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing Science, Newcastle University, Newcastle upon Tyne, UK","institution_ids":["https://openalex.org/I84884186"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":0.5542,"has_fulltext":true,"cited_by_count":10,"citation_normalized_percentile":{"value":0.74948755,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"35","issue":"2","first_page":"85","last_page":"115"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"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/T12292","display_name":"Graph Theory and Algorithms","score":0.9998999834060669,"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/T10829","display_name":"Interconnection Networks and Systems","score":0.9979000091552734,"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/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.7837088108062744},{"id":"https://openalex.org/keywords/graph-partition","display_name":"Graph partition","score":0.7030895948410034},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.6945076584815979},{"id":"https://openalex.org/keywords/partition","display_name":"Partition (number theory)","score":0.6682591438293457},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.6101629137992859},{"id":"https://openalex.org/keywords/space-partitioning","display_name":"Space partitioning","score":0.5449070930480957},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.4968550503253937},{"id":"https://openalex.org/keywords/parallel-computing","display_name":"Parallel computing","score":0.4379028379917145},{"id":"https://openalex.org/keywords/usable","display_name":"USable","score":0.4148050844669342},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.4129640460014343},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.36118805408477783},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3289385437965393},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.14519217610359192},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12904450297355652}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7837088108062744},{"id":"https://openalex.org/C48903430","wikidata":"https://www.wikidata.org/wiki/Q491370","display_name":"Graph partition","level":3,"score":0.7030895948410034},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.6945076584815979},{"id":"https://openalex.org/C42812","wikidata":"https://www.wikidata.org/wiki/Q1082910","display_name":"Partition (number theory)","level":2,"score":0.6682591438293457},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.6101629137992859},{"id":"https://openalex.org/C13670688","wikidata":"https://www.wikidata.org/wiki/Q3500548","display_name":"Space partitioning","level":2,"score":0.5449070930480957},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.4968550503253937},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.4379028379917145},{"id":"https://openalex.org/C2780615836","wikidata":"https://www.wikidata.org/wiki/Q2471869","display_name":"USable","level":2,"score":0.4148050844669342},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.4129640460014343},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.36118805408477783},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3289385437965393},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.14519217610359192},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12904450297355652},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s10619-017-7196-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10619-017-7196-y","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10619-017-7196-y.pdf","source":{"id":"https://openalex.org/S35927321","display_name":"Distributed and Parallel Databases","issn_l":"0926-8782","issn":["0926-8782","1573-7578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Distributed and Parallel Databases","raw_type":"journal-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/06dc0d4c-0fb9-4dd2-bc15-c07eaeeb83c5","is_oa":true,"landing_page_url":"https://research.birmingham.ac.uk/en/publications/06dc0d4c-0fb9-4dd2-bc15-c07eaeeb83c5","pdf_url":null,"source":{"id":"https://openalex.org/S4306402634","display_name":"University of Birmingham Research Portal (University of Birmingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79619799","host_organization_name":"University of Birmingham","host_organization_lineage":["https://openalex.org/I79619799"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Firth , H & Missier , P 2017 , ' TAPER : query-aware, partition-enhancement for large, heterogenous graphs ' , Distributed and Parallel Databases , vol. 35 , no. 2 , pp. 85-115 . https://doi.org/10.1007/s10619-017-7196-y","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s10619-017-7196-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10619-017-7196-y","pdf_url":"https://link.springer.com/content/pdf/10.1007%2Fs10619-017-7196-y.pdf","source":{"id":"https://openalex.org/S35927321","display_name":"Distributed and Parallel Databases","issn_l":"0926-8782","issn":["0926-8782","1573-7578"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Distributed and Parallel Databases","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320295","display_name":"Newcastle University","ror":"https://ror.org/01kj2bm70"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2299020861.pdf","grobid_xml":"https://content.openalex.org/works/W2299020861.grobid-xml"},"referenced_works_count":34,"referenced_works":["https://openalex.org/W52586475","https://openalex.org/W125936143","https://openalex.org/W1444968430","https://openalex.org/W1814202332","https://openalex.org/W1965675974","https://openalex.org/W1966461475","https://openalex.org/W1971630691","https://openalex.org/W1997737152","https://openalex.org/W1998658698","https://openalex.org/W2004951603","https://openalex.org/W2006023152","https://openalex.org/W2048653843","https://openalex.org/W2063032661","https://openalex.org/W2095117703","https://openalex.org/W2111607365","https://openalex.org/W2116889737","https://openalex.org/W2117657788","https://openalex.org/W2125032792","https://openalex.org/W2128478991","https://openalex.org/W2130617154","https://openalex.org/W2133741724","https://openalex.org/W2135282325","https://openalex.org/W2143131337","https://openalex.org/W2150630976","https://openalex.org/W2160276892","https://openalex.org/W2161455936","https://openalex.org/W2164274587","https://openalex.org/W2165766811","https://openalex.org/W2189016707","https://openalex.org/W2244188037","https://openalex.org/W2405487086","https://openalex.org/W2963528863","https://openalex.org/W3137281031","https://openalex.org/W4236269389"],"related_works":["https://openalex.org/W3008857645","https://openalex.org/W2073947114","https://openalex.org/W2583811263","https://openalex.org/W1895366714","https://openalex.org/W3173312668","https://openalex.org/W2810695303","https://openalex.org/W3012931947","https://openalex.org/W2035944803","https://openalex.org/W2117611406","https://openalex.org/W2061980994"],"abstract_inverted_index":{"Graph":[0,12],"partitioning":[1,52,71,104,111],"has":[2],"long":[3],"been":[4],"seen":[5],"as":[6,82,90,112],"a":[7,29,113,134,173],"viable":[8],"approach":[9],"to":[10,28,35,48,55,97,143],"addressing":[11],"DBMS":[13],"scalability.":[14],"A":[15],"partitioning,":[16,175,191],"however,":[17],"may":[18],"introduce":[19],"extra":[20],"query":[21,31,62,166],"processing":[22],"latency":[23],"unless":[24],"it":[25,43,119],"is":[26],"sensitive":[27],"specific":[30],"workload,":[32,63],"and":[33,89,116,145,163,203,211],"optimised":[34],"minimise":[36],"inter-partition":[37,131,181],"traversals":[38,132,182],"for":[39,86,133],"that":[40],"workload.":[41,138],"Additionally,":[42],"should":[44],"also":[45],"be":[46],"possible":[47],"incrementally":[49],"adjust":[50],"the":[51,58,61,128,149,178,205],"in":[53,57,148],"reaction":[54],"changes":[56],"graph":[59],"topology,":[60],"or":[64,77],"both.":[65],"Because":[66],"of":[67,75,79,130,180,208],"their":[68],"complexity,":[69],"current":[70],"algorithms":[72],"fall":[73],"short":[74],"one":[76],"both":[78,99],"these":[80],"requirements,":[81,100],"they":[83],"are":[84,140,198],"designed":[85],"offline":[87],"use":[88],"one-off":[91],"operations.":[92],"The":[93],"TAPER":[94,106,156,176],"system":[95],"aims":[96],"address":[98],"whilst":[101],"leveraging":[102],"existing":[103],"algorithms.":[105],"takes":[107],"any":[108],"given":[109,135,172,187],"initial":[110],"starting":[114],"point,":[115],"iteratively":[117],"adjusts":[118],"by":[120,183,192],"swapping":[121],"chosen":[122],"vertices":[123],"across":[124],"partitions,":[125],"heuristically":[126],"reducing":[127],"probability":[129],"path":[136],"queries":[137],"Iterations":[139],"inexpensive":[141],"thanks":[142],"time":[144],"space":[146],"optimisations":[147],"underlying":[150],"support":[151],"data":[152],"structures.":[153],"We":[154],"evaluate":[155],"on":[157],"two":[158],"different":[159],"large":[160],"test":[161],"graphs":[162],"over":[164],"realistic":[165],"workloads.":[167],"Our":[168],"results":[169],"indicate":[170],"that,":[171],"hash-based":[174],"reduces":[177],"number":[179],"$$\\sim":[184,193],"$$":[185,194],"80%;":[186],"an":[188],"unweighted":[189],"Metis":[190],"30%.":[195],"These":[196],"reductions":[197],"achieved":[199],"within":[200],"eight":[201],"iterations":[202],"with":[204],"additional":[206],"advantage":[207],"being":[209],"workload-aware":[210],"usable":[212],"online.":[213]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":4},{"year":2017,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
