{"id":"https://openalex.org/W7168021803","doi":"https://doi.org/10.1145/3806645.3807579","title":"QProR: An Efficient Framework for Quantity-of-Interest Based Progressive Retrieval with Guaranteed Error Control","display_name":"QProR: An Efficient Framework for Quantity-of-Interest Based Progressive Retrieval with Guaranteed Error Control","publication_year":2026,"publication_date":"2026-07-11","ids":{"openalex":"https://openalex.org/W7168021803","doi":"https://doi.org/10.1145/3806645.3807579"},"language":null,"primary_location":{"id":"doi:10.1145/3806645.3807579","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3806645.3807579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th International Symposium on High-Performance Parallel and Distributed Computing","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/A5116414898","display_name":"Linus Li","orcid":"https://orcid.org/0009-0006-5687-4446"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wenbo Li","raw_affiliation_strings":["Oregon State University, Corvallis, OR, USA"],"raw_orcid":"https://orcid.org/0009-0006-5687-4446","affiliations":[{"raw_affiliation_string":"Oregon State University, Corvallis, OR, USA","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063502813","display_name":"Qian Gong","orcid":"https://orcid.org/0000-0002-3570-4142"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qian Gong","raw_affiliation_strings":["Oak Ridge National Laboratory, Oak Ridge, TN, USA"],"raw_orcid":"https://orcid.org/0000-0002-3570-4142","affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, Oak Ridge, TN, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5140470851","display_name":"Xuan Wu","orcid":"https://orcid.org/0009-0001-5653-9588"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuan Wu","raw_affiliation_strings":["Oregon State University, Corvallis, OR, USA"],"raw_orcid":"https://orcid.org/0009-0001-5653-9588","affiliations":[{"raw_affiliation_string":"Oregon State University, Corvallis, OR, USA","institution_ids":["https://openalex.org/I131249849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063649910","display_name":"Jieyang Chen","orcid":"https://orcid.org/0000-0002-1905-9171"},"institutions":[{"id":"https://openalex.org/I181233156","display_name":"University of Oregon","ror":"https://ror.org/0293rh119","country_code":"US","type":"education","lineage":["https://openalex.org/I181233156"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jieyang Chen","raw_affiliation_strings":["University of Oregon, Eugene, OR, USA"],"raw_orcid":"https://orcid.org/0000-0002-1905-9171","affiliations":[{"raw_affiliation_string":"University of Oregon, Eugene, OR, USA","institution_ids":["https://openalex.org/I181233156"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100345219","display_name":"Qing Liu","orcid":"https://orcid.org/0000-0002-7600-7976"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Qing Liu","raw_affiliation_strings":["New Jersey Institute of Technology, Newark, NJ, USA"],"raw_orcid":"https://orcid.org/0000-0002-7600-7976","affiliations":[{"raw_affiliation_string":"New Jersey Institute of Technology, Newark, NJ, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087956045","display_name":"Xubin He","orcid":"https://orcid.org/0000-0002-5071-2861"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xubin He","raw_affiliation_strings":["Temple University, Philadelphia, PA, USA"],"raw_orcid":"https://orcid.org/0000-0002-5071-2861","affiliations":[{"raw_affiliation_string":"Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071286199","display_name":"Norbert Podhorszki","orcid":"https://orcid.org/0000-0001-9647-542X"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Norbert Podhorszki","raw_affiliation_strings":["Oak Ridge National Laboratory, Oak Ridge, TN, USA"],"raw_orcid":"https://orcid.org/0000-0001-9647-542X","affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, Oak Ridge, TN, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030373337","display_name":"Scott Klasky","orcid":"https://orcid.org/0000-0003-3559-5772"},"institutions":[{"id":"https://openalex.org/I1289243028","display_name":"Oak Ridge National Laboratory","ror":"https://ror.org/01qz5mb56","country_code":"US","type":"facility","lineage":["https://openalex.org/I1289243028","https://openalex.org/I1330989302","https://openalex.org/I39565521","https://openalex.org/I4210159294"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott Klasky","raw_affiliation_strings":["Oak Ridge National Laboratory, Oak Ridge, TN, USA"],"raw_orcid":"https://orcid.org/0000-0003-3559-5772","affiliations":[{"raw_affiliation_string":"Oak Ridge National Laboratory, Oak Ridge, TN, USA","institution_ids":["https://openalex.org/I1289243028"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103064768","display_name":"Xin Liang","orcid":"https://orcid.org/0000-0002-0630-1600"},"institutions":[{"id":"https://openalex.org/I131249849","display_name":"Oregon State University","ror":"https://ror.org/00ysfqy60","country_code":"US","type":"education","lineage":["https://openalex.org/I131249849"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xin Liang","raw_affiliation_strings":["Oregon State University, Corvallis, USA"],"raw_orcid":"https://orcid.org/0000-0002-0630-1600","affiliations":[{"raw_affiliation_string":"Oregon State University, Corvallis, USA","institution_ids":["https://openalex.org/I131249849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"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":"112","last_page":"124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.8410999774932861,"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/T11181","display_name":"Advanced Data Storage Technologies","score":0.8410999774932861,"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":0.011800000444054604,"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/T11614","display_name":"Cloud Data Security Solutions","score":0.011300000362098217,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5640000104904175},{"id":"https://openalex.org/keywords/data-retrieval","display_name":"Data retrieval","score":0.5199000239372253},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.4742000102996826},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4453999996185303},{"id":"https://openalex.org/keywords/lossy-compression","display_name":"Lossy compression","score":0.43639999628067017},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.414000004529953},{"id":"https://openalex.org/keywords/raw-data","display_name":"Raw data","score":0.4011000096797943},{"id":"https://openalex.org/keywords/lossless-compression","display_name":"Lossless compression","score":0.37400001287460327},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.3644999861717224}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7890999913215637},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5640000104904175},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5573999881744385},{"id":"https://openalex.org/C551230270","wikidata":"https://www.wikidata.org/wiki/Q4368942","display_name":"Data retrieval","level":2,"score":0.5199000239372253},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.4742000102996826},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4453999996185303},{"id":"https://openalex.org/C165021410","wikidata":"https://www.wikidata.org/wiki/Q55564","display_name":"Lossy compression","level":2,"score":0.43639999628067017},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.414000004529953},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.4011000096797943},{"id":"https://openalex.org/C81081738","wikidata":"https://www.wikidata.org/wiki/Q55542","display_name":"Lossless compression","level":3,"score":0.37400001287460327},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.3644999861717224},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.3287000060081482},{"id":"https://openalex.org/C205606062","wikidata":"https://www.wikidata.org/wiki/Q5249645","display_name":"Decoupling (probability)","level":2,"score":0.3231000006198883},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3212999999523163},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.3160000145435333},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.29919999837875366},{"id":"https://openalex.org/C162319229","wikidata":"https://www.wikidata.org/wiki/Q175263","display_name":"Data structure","level":2,"score":0.28529998660087585},{"id":"https://openalex.org/C13481523","wikidata":"https://www.wikidata.org/wiki/Q412438","display_name":"Image compression","level":4,"score":0.28049999475479126},{"id":"https://openalex.org/C153914771","wikidata":"https://www.wikidata.org/wiki/Q5227343","display_name":"Data reduction","level":2,"score":0.2768000066280365},{"id":"https://openalex.org/C1667742","wikidata":"https://www.wikidata.org/wiki/Q10927554","display_name":"Image retrieval","level":3,"score":0.2727000117301941},{"id":"https://openalex.org/C20556612","wikidata":"https://www.wikidata.org/wiki/Q4469374","display_name":"Volume (thermodynamics)","level":2,"score":0.27079999446868896},{"id":"https://openalex.org/C103088060","wikidata":"https://www.wikidata.org/wiki/Q1062839","display_name":"Error detection and correction","level":2,"score":0.27070000767707825},{"id":"https://openalex.org/C25797200","wikidata":"https://www.wikidata.org/wiki/Q828137","display_name":"Compression ratio","level":3,"score":0.2685999870300293},{"id":"https://openalex.org/C557945733","wikidata":"https://www.wikidata.org/wiki/Q389772","display_name":"Data transmission","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C43126263","wikidata":"https://www.wikidata.org/wiki/Q128751","display_name":"Source code","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2603999972343445},{"id":"https://openalex.org/C152752567","wikidata":"https://www.wikidata.org/wiki/Q116877","display_name":"Code refactoring","level":3,"score":0.2590999901294708}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3806645.3807579","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3806645.3807579","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th International Symposium on High-Performance Parallel and Distributed Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1299170032","display_name":null,"funder_award_id":"OAC-2311756","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G3133233362","display_name":null,"funder_award_id":"OAC-2311757","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G4418096745","display_name":null,"funder_award_id":"OAC-2442627","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5270936849","display_name":null,"funder_award_id":"OAC-2144403","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5527462769","display_name":null,"funder_award_id":"OAC-2311758","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6032967093","display_name":null,"funder_award_id":"Sirius-2","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G6268339483","display_name":null,"funder_award_id":"RAPIDS-3","funder_id":"https://openalex.org/F4320306084","funder_display_name":"U.S. Department of Energy"},{"id":"https://openalex.org/G7489287086","display_name":null,"funder_award_id":"OAC-2313122","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"},{"id":"https://openalex.org/F4320306084","display_name":"U.S. Department of Energy","ror":"https://ror.org/01bj3aw27"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W1777016212","https://openalex.org/W2030547107","https://openalex.org/W2049440937","https://openalex.org/W2052440657","https://openalex.org/W2060108852","https://openalex.org/W2097269032","https://openalex.org/W2109497697","https://openalex.org/W2111996486","https://openalex.org/W2118217749","https://openalex.org/W2140196014","https://openalex.org/W2142265837","https://openalex.org/W2168694323","https://openalex.org/W2170023599","https://openalex.org/W2570426609","https://openalex.org/W2625759119","https://openalex.org/W2886627854","https://openalex.org/W2899601494","https://openalex.org/W2904724310","https://openalex.org/W2911892981","https://openalex.org/W2912174957","https://openalex.org/W2940637162","https://openalex.org/W2955516565","https://openalex.org/W2964023000","https://openalex.org/W2986871396","https://openalex.org/W3022664119","https://openalex.org/W3041193038","https://openalex.org/W3046115387","https://openalex.org/W3174738244","https://openalex.org/W3180329928","https://openalex.org/W3211226812","https://openalex.org/W4226076355","https://openalex.org/W4230811558","https://openalex.org/W4300052339","https://openalex.org/W4321448356","https://openalex.org/W4388286177","https://openalex.org/W4388430640","https://openalex.org/W4393183862","https://openalex.org/W4400409887","https://openalex.org/W4405755145","https://openalex.org/W4414210246"],"related_works":[],"abstract_inverted_index":{"Scientific":[0],"applications":[1,155],"generate":[2],"an":[3,72,129],"unprecedented":[4],"volume":[5],"of":[6,53,139,161,196],"data,":[7],"overwhelming":[8],"the":[9,48,102,136,162,175,179,188,210],"network":[10],"and":[11,15,20,24,108,156],"file":[12],"systems\u2019":[13],"bandwidth":[14],"posing":[16],"challenges":[17],"for":[18,81,105,135],"efficient":[19,73],"scalable":[21],"data":[22,27,59,122,198,212],"retrieval":[23,36,64,80,126,131,176],"analysis.":[25],"Progressive":[26],"compression":[28],"offers":[29],"a":[30,89,111],"promising":[31],"solution":[32],"by":[33],"enabling":[34],"on-demand":[35],"at":[37],"reduced":[38],"size.":[39],"However,":[40],"existing":[41,190],"progressive":[42,75,79],"methods":[43],"either":[44],"fail":[45],"to":[46,124,171,199,205],"bound":[47],"errors":[49],"in":[50,174,209],"essential":[51],"quantities":[52],"interest":[54],"(QoIs)":[55],"derived":[56],"from":[57,62,152],"raw":[58],"or":[60],"suffer":[61],"suboptimal":[63],"efficiency.":[65],"In":[66],"this":[67],"work,":[68],"we":[69],"propose":[70],"QProR,":[71],"QoI-based":[74],"framework":[76,91],"that":[77,92,133,167],"optimizes":[78],"target":[82],"QoIs.":[83],"Our":[84],"key":[85],"contributions":[86],"include:":[87],"(1)":[88],"systematic":[90],"integrates":[93],"error-controlled":[94],"lossy":[95],"compressors":[96],"with":[97,187],"bitplane":[98,114],"encoding":[99,115],"while":[100],"decoupling":[101],"two":[103],"processes":[104],"high":[106],"flexibility":[107],"adaptability;":[109],"(2)":[110],"novel":[112],"weighted":[113],"method":[116],"which":[117],"incorperates":[118],"QoI":[119,182],"knowledge":[120],"into":[121],"refactoring":[123],"enhance":[125],"efficiency;":[127],"(3)":[128],"optimized":[130],"strategy":[132],"accounts":[134],"varying":[137],"impacts":[138],"different":[140],"variables":[141],"on":[142],"multivariate":[143],"QoIs;":[144],"(4)":[145],"comprehensive":[146],"evaluations":[147],"using":[148],"six":[149],"real-world":[150],"datasets":[151],"multiple":[153],"scientific":[154,197],"thorough":[157],"comparisons":[158],"against":[159],"state":[160],"arts.":[163],"Experimental":[164],"results":[165],"demonstrate":[166],"QProR":[168,202],"achieves":[169],"up":[170,204],"\\(80.38\\%\\)":[172],"reduction":[173],"size":[177],"under":[178],"same":[180],"requested":[181],"error":[183],"tolerance,":[184],"when":[185],"compared":[186],"best-performing":[189],"methods.":[191],"When":[192],"transferring":[193],"384":[194],"GB":[195],"remote":[200],"sites,":[201],"delivers":[203],"1.68":[206],"\u00d7":[207],"speedup":[208],"end-to-end":[211],"transfer":[213],"performance.":[214]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-07-12T00:00:00"}
