{"id":"https://openalex.org/W7155374800","doi":"https://doi.org/10.48550/arxiv.2604.20401","title":"Onyx: Cost-Efficient Disk-Oblivious ANN Search","display_name":"Onyx: Cost-Efficient Disk-Oblivious ANN Search","publication_year":2026,"publication_date":"2026-04-22","ids":{"openalex":"https://openalex.org/W7155374800","doi":"https://doi.org/10.48550/arxiv.2604.20401"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.20401","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.20401","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.20401","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087899680","display_name":"Deevashwer Rathee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rathee, Deevashwer","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134416214","display_name":"Jean-Luc Watson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Watson, Jean-Luc","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041255110","display_name":"Zirui Neil Zhao","orcid":"https://orcid.org/0000-0002-7231-7416"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhao, Zirui Neil","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134380671","display_name":"G. Edward Suh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Suh, G. Edward","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5015782472","display_name":"Raluca Ada Popa","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Popa, Raluca Ada","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10237","display_name":"Cryptography and Data Security","score":0.3783999979496002,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10237","display_name":"Cryptography and Data Security","score":0.3783999979496002,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.11330000311136246,"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":0.10289999842643738,"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/bandwidth","display_name":"Bandwidth (computing)","score":0.6141999959945679},{"id":"https://openalex.org/keywords/data-access","display_name":"Data access","score":0.47510001063346863},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.462799996137619},{"id":"https://openalex.org/keywords/random-access","display_name":"Random access","score":0.4081000089645386},{"id":"https://openalex.org/keywords/access-method","display_name":"Access method","score":0.40560001134872437},{"id":"https://openalex.org/keywords/search-tree","display_name":"Search tree","score":0.35440000891685486},{"id":"https://openalex.org/keywords/access-time","display_name":"Access time","score":0.3433000147342682}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8073999881744385},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.6141999959945679},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.47510001063346863},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.462799996137619},{"id":"https://openalex.org/C101722063","wikidata":"https://www.wikidata.org/wiki/Q218825","display_name":"Random access","level":2,"score":0.4081000089645386},{"id":"https://openalex.org/C70000936","wikidata":"https://www.wikidata.org/wiki/Q4672467","display_name":"Access method","level":2,"score":0.40560001134872437},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.3898000121116638},{"id":"https://openalex.org/C207024777","wikidata":"https://www.wikidata.org/wiki/Q621673","display_name":"Search tree","level":3,"score":0.35440000891685486},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3476000130176544},{"id":"https://openalex.org/C194080101","wikidata":"https://www.wikidata.org/wiki/Q46306","display_name":"Access time","level":2,"score":0.3433000147342682},{"id":"https://openalex.org/C93996380","wikidata":"https://www.wikidata.org/wiki/Q44127","display_name":"Server","level":2,"score":0.3353999853134155},{"id":"https://openalex.org/C62793504","wikidata":"https://www.wikidata.org/wiki/Q228327","display_name":"Access network","level":2,"score":0.3215999901294708},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.31439998745918274},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2671000063419342},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2644999921321869},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.2581999897956848},{"id":"https://openalex.org/C148764684","wikidata":"https://www.wikidata.org/wiki/Q621751","display_name":"Approximation algorithm","level":2,"score":0.25369998812675476}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.20401","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.20401","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.20401","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.20401","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.5465966463088989,"id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Approximate":[0],"nearest":[1],"neighbor":[2],"(ANN)":[3],"search":[4,59,81,227],"in":[5,128,135],"AI":[6],"systems":[7],"increasingly":[8],"handles":[9],"sensitive":[10],"data":[11],"on":[12,26,164],"third-party":[13],"infrastructure.":[14],"Trusted":[15],"execution":[16],"environments":[17],"(TEEs)":[18],"offer":[19],"protection,":[20],"but":[21,48],"cost-efficient":[22,177],"deployments":[23],"must":[24],"rely":[25],"external":[27],"SSDs,":[28],"which":[29],"leaks":[30],"user":[31],"queries":[32],"through":[33],"disk":[34],"access":[35,46,89,96,133,165,212],"patterns":[36,47],"to":[37,169,222],"the":[38,99,105,110,113,129,136,194,223],"host.":[39],"Oblivious":[40],"RAM":[41],"(ORAM)":[42],"can":[43],"hide":[44],"these":[45],"at":[49,98,104],"a":[50,176,187,205],"high":[51,69],"cost;":[52],"when":[53],"paired":[54],"with":[55,116,180,217],"existing":[56],"disk-based":[57],"ANN":[58,80,100,130,226],"techniques,":[60],"it":[61],"makes":[62],"poor":[63,72],"use":[64],"of":[65,196],"SSD":[66],"resources,":[67],"yielding":[68],"latency":[70],"and":[71,88,102,132,202,234],"cost-efficiency.":[73],"The":[74,91],"core":[75],"challenge":[76],"for":[77,145,153],"efficient":[78],"oblivious":[79,225],"over":[82],"SSDs":[83],"is":[84,142],"balancing":[85],"both":[86,117],"bandwidth":[87,103,126,155],"count.":[90],"state-of-the-art":[92,224],"ORAM-ANN":[93],"design":[94,209],"minimizes":[95],"count":[97,134,166,213],"level":[101],"ORAM":[106,137,158,219],"level,":[107],"each":[108,140],"trading-off":[109],"other,":[111],"leaving":[112],"combined":[114],"system":[115],"resources":[118],"overutilized.":[119],"We":[120],"propose":[121,175],"inverting":[122],"this":[123,172],"design,":[124],"minimizing":[125],"consumption":[127],"layer":[131],"layer,":[138],"since":[139],"component":[141],"better":[143],"suited":[144],"its":[146],"new":[147,182],"role:":[148],"ANN's":[149],"inherent":[150],"approximation":[151],"allows":[152],"more":[154],"efficiency,":[156],"while":[157,214],"has":[159],"no":[160],"fundamental":[161],"lower":[162,232,236],"bounds":[163],"(as":[167],"opposed":[168],"bandwidth).":[170],"To":[171],"end,":[173],"we":[174],"approach,":[178],"Onyx,":[179],"two":[181],"co-designed":[183],"components:":[184],"Onyx-ANNS":[185],"introduces":[186],"compact":[188],"intermediate":[189],"representation":[190],"that":[191,210],"proactively":[192],"prunes":[193],"majority":[195],"bandwidth-intensive":[197],"accesses":[198],"without":[199],"hurting":[200],"recall,":[201],"Onyx-ORAM":[203],"proposes":[204],"locality-aware":[206],"shallow":[207],"tree":[208],"reduces":[211],"remaining":[215],"compatible":[216],"bandwidth-efficient":[218],"techniques.":[220],"Compared":[221],"system,":[228],"Onyx":[229],"achieves":[230],"$1.7-9.9\\times$":[231],"cost":[233],"$2.3-12.3\\times$":[235],"latency.":[237]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-24T00:00:00"}