{"id":"https://openalex.org/W7159645604","doi":"https://doi.org/10.48550/arxiv.2604.27174","title":"End-to-End and Phase-Level Performance Optimization for Hyperledger Fabric","display_name":"End-to-End and Phase-Level Performance Optimization for Hyperledger Fabric","publication_year":2026,"publication_date":"2026-04-29","ids":{"openalex":"https://openalex.org/W7159645604","doi":"https://doi.org/10.48550/arxiv.2604.27174"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.27174","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.27174","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.27174","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5116479419","display_name":"Pavan Sollu","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sollu, Pavan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134942619","display_name":"Aniruddha Mukherjee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mukherjee, Aniruddha","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134977283","display_name":"Divya Pulivarthi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pulivarthi, Divya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134954719","display_name":"S. R. Eshwar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eshwar, S. R.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047138399","display_name":"Gugan Thoppe","orcid":"https://orcid.org/0000-0001-5066-6589"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thoppe, Gugan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116479418","display_name":"Kshitij Pratihast","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pratihast, Kshitij","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5134949120","display_name":"Tittu Varghese","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Varghese, Tittu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116479421","display_name":"Hrishikesh Nashikkar","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nashikkar, Hrishikesh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5134962064","display_name":"Yogesh Simmhan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Simmhan, Yogesh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5116479419"],"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/T10270","display_name":"Blockchain Technology Applications and Security","score":0.7009999752044678,"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"}},"topics":[{"id":"https://openalex.org/T10270","display_name":"Blockchain Technology Applications and Security","score":0.7009999752044678,"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/T10101","display_name":"Cloud Computing and Resource Management","score":0.15839999914169312,"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/T10772","display_name":"Distributed systems and fault tolerance","score":0.029200000688433647,"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/commit","display_name":"Commit","score":0.9355999827384949},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6398000121116638},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.5928000211715698},{"id":"https://openalex.org/keywords/latency","display_name":"Latency (audio)","score":0.588100016117096},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.4893999993801117},{"id":"https://openalex.org/keywords/database-transaction","display_name":"Database transaction","score":0.41519999504089355},{"id":"https://openalex.org/keywords/continuation","display_name":"Continuation","score":0.37220001220703125},{"id":"https://openalex.org/keywords/transaction-processing","display_name":"Transaction processing","score":0.3643999993801117}],"concepts":[{"id":"https://openalex.org/C153180980","wikidata":"https://www.wikidata.org/wiki/Q19776675","display_name":"Commit","level":2,"score":0.9355999827384949},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7512999773025513},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6398000121116638},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.5928000211715698},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.588100016117096},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.4893999993801117},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.46470001339912415},{"id":"https://openalex.org/C75949130","wikidata":"https://www.wikidata.org/wiki/Q848010","display_name":"Database transaction","level":2,"score":0.41519999504089355},{"id":"https://openalex.org/C88626702","wikidata":"https://www.wikidata.org/wiki/Q1128903","display_name":"Continuation","level":2,"score":0.37220001220703125},{"id":"https://openalex.org/C72108876","wikidata":"https://www.wikidata.org/wiki/Q844565","display_name":"Transaction processing","level":3,"score":0.3643999993801117},{"id":"https://openalex.org/C173608175","wikidata":"https://www.wikidata.org/wiki/Q232661","display_name":"Parallel computing","level":1,"score":0.3610000014305115},{"id":"https://openalex.org/C2989134064","wikidata":"https://www.wikidata.org/wiki/Q288510","display_name":"Execution time","level":2,"score":0.3400999903678894},{"id":"https://openalex.org/C111009948","wikidata":"https://www.wikidata.org/wiki/Q1067690","display_name":"Two-phase commit protocol","level":5,"score":0.3377000093460083},{"id":"https://openalex.org/C2777541363","wikidata":"https://www.wikidata.org/wiki/Q25110971","display_name":"Distributed ledger","level":3,"score":0.3343999981880188},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.3125},{"id":"https://openalex.org/C68339613","wikidata":"https://www.wikidata.org/wiki/Q1549489","display_name":"Speedup","level":2,"score":0.30079999566078186},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.29280000925064087},{"id":"https://openalex.org/C115874739","wikidata":"https://www.wikidata.org/wiki/Q825377","display_name":"Critical path method","level":2,"score":0.2840000092983246},{"id":"https://openalex.org/C101780184","wikidata":"https://www.wikidata.org/wiki/Q840576","display_name":"Dissemination","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.27790001034736633},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C2781411174","wikidata":"https://www.wikidata.org/wiki/Q8034662","display_name":"Workcell","level":3,"score":0.2630000114440918}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.27174","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.27174","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.27174","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.27174","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[{"display_name":"Industry, innovation and infrastructure","score":0.4229203462600708,"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":{"Hyperledger":[0],"Fabric":[1],"(HLF)":[2],"is":[3],"a":[4,41,121,198,222,229],"modular,":[5],"permissioned":[6],"blockchain":[7],"widely":[8],"adopted":[9],"in":[10,24,154,201],"enterprise":[11],"settings.":[12],"Enhancing":[13],"its":[14],"throughput":[15,96,180,219],"and":[16,44,74,82,91,111,137,157,181,184,193,214,239],"latency":[17,153],"remains":[18],"challenging,":[19],"as":[20],"optimization":[21,66],"decisions":[22],"made":[23],"one":[25],"phase":[26],"of":[27,47,85,129,232],"the":[28,207,218],"transaction":[29],"lifecycle":[30],"can":[31],"adversely":[32],"affect":[33],"other":[34],"phases.":[35],"In":[36,77],"this":[37],"work,":[38],"we":[39,62,79,126,205],"present":[40],"systematic,":[42],"phase-level":[43],"end-to-end":[45,168],"study":[46],"HLF":[48],"optimizations":[49],"along":[50],"three":[51,130],"fronts,":[52],"combining":[53],"production-grade":[54],"testbed":[55],"experiments":[56],"with":[57,88,197],"calibrated":[58],"SimPy":[59],"simulations.":[60],"First,":[61],"introduce":[63],"two":[64],"novel":[65],"techniques":[67],"that":[68],"target":[69],"commit-phase":[70],"bottlenecks:":[71],"block-level":[72],"pipelining":[73],"strategic":[75],"waiting.":[76],"pipelining,":[78],"overlap":[80],"validation":[81],"private-data":[83,133,149,210],"acquisition":[84],"successive":[86],"blocks":[87,165,175],"state-consistency":[89],"checks":[90],"ledger":[92],"updates":[93],"improving":[94],"commit":[95,104,158,224],"by":[97,106],"up":[98,119],"to":[99,114,120,178],"1.9x.":[100],"Strategic":[101],"waiting":[102],"coordinates":[103],"progress":[105],"temporarily":[107],"pausing":[108],"fast":[109],"leaders":[110],"boosting":[112],"laggers":[113],"sustain":[115],"endorsement":[116,138,156,195],"parallelism,":[117],"yielding":[118],"1.2x":[122],"higher":[123],"throughput.":[124],"Second,":[125],"conduct":[127],"micro-benchmarking":[128],"configuration":[131],"levers:":[132],"dissemination,":[134,211],"block-size":[135],"selection,":[136],"peer":[139],"selection.":[140],"Our":[141],"results":[142],"reveal":[143],"that:":[144],"(i)":[145],"Relaxed":[146,186],"quorums":[147],"for":[148,242],"dissemination":[150],"significantly":[151],"reduce":[152,182],"both":[155],"phases;":[159],"(ii)":[160],"Under":[161],"light":[162],"workloads,":[163,173],"smaller":[164],"yield":[166],"lower":[167],"latency,":[169],"whereas,":[170],"under":[171],"heavy":[172],"larger":[174],"are":[176,226],"necessary":[177],"improve":[179],"latency;":[183],"(iii)":[185],"leader":[187],"selection":[188],"dramatically":[189],"reduces":[190],"dropped":[191],"transactions":[192],"boosts":[194],"throughput,":[196],"modest":[199],"increase":[200],"MVCC":[202],"invalidations.":[203],"Finally,":[204],"analyze":[206],"interplay":[208],"among":[209],"VSCC":[212],"parallelization,":[213],"pipelined":[215],"commits.":[216],"Interestingly,":[217],"gains":[220],"over":[221],"serial":[223],"path":[225],"maximized":[227],"at":[228],"moderate":[230],"level":[231],"parallelization.":[233],"Together,":[234],"our":[235],"findings":[236],"provide":[237],"phase-aware":[238],"protocol-level":[240],"refinements":[241],"optimizing":[243],"HLF.":[244]},"counts_by_year":[],"updated_date":"2026-05-04T08:30:34.212998","created_date":"2026-05-02T00:00:00"}
