{"id":"https://openalex.org/W4414898758","doi":"https://doi.org/10.1109/cluster59342.2025.11186483","title":"RAN: Accelerating Data Repair with Available Nodes in Erasure-Coded Storage","display_name":"RAN: Accelerating Data Repair with Available Nodes in Erasure-Coded Storage","publication_year":2025,"publication_date":"2025-09-02","ids":{"openalex":"https://openalex.org/W4414898758","doi":"https://doi.org/10.1109/cluster59342.2025.11186483"},"language":"en","primary_location":{"id":"doi:10.1109/cluster59342.2025.11186483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cluster59342.2025.11186483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Cluster Computing (CLUSTER)","raw_type":"proceedings-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":null,"display_name":"Canghai Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Canghai Yang","raw_affiliation_strings":["College of Computer Science, Chongqing University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101516109","display_name":"Kan Zhong","orcid":"https://orcid.org/0000-0001-5278-0406"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kan Zhong","raw_affiliation_strings":["School of Big Data and Software Engineering, Chongqing University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Software Engineering, Chongqing University,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5066818952","display_name":"Yujuan Tan","orcid":"https://orcid.org/0000-0002-9055-5389"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujuan Tan","raw_affiliation_strings":["College of Computer Science, Chongqing University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051490998","display_name":"Ao Ren","orcid":"https://orcid.org/0000-0002-2322-8038"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ao Ren","raw_affiliation_strings":["College of Computer Science, Chongqing University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Computer Science, Chongqing University,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100675843","display_name":"Duo Liu","orcid":"https://orcid.org/0000-0002-3040-2065"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duo Liu","raw_affiliation_strings":["School of Big Data and Software Engineering, Chongqing University,Chongqing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Software Engineering, Chongqing University,Chongqing,China","institution_ids":["https://openalex.org/I158842170"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I158842170"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28237815,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":0.9965999722480774,"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":0.9965999722480774,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9894000291824341,"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/T11614","display_name":"Cloud Data Security Solutions","score":0.9460999965667725,"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/erasure-code","display_name":"Erasure code","score":0.7427999973297119},{"id":"https://openalex.org/keywords/telecommunications-link","display_name":"Telecommunications link","score":0.6967999935150146},{"id":"https://openalex.org/keywords/linear-network-coding","display_name":"Linear network coding","score":0.5796999931335449},{"id":"https://openalex.org/keywords/distributed-data-store","display_name":"Distributed data store","score":0.4677000045776367},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.43160000443458557},{"id":"https://openalex.org/keywords/erasure","display_name":"Erasure","score":0.396699994802475},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.37310001254081726}],"concepts":[{"id":"https://openalex.org/C137529215","wikidata":"https://www.wikidata.org/wiki/Q5385031","display_name":"Erasure code","level":3,"score":0.7427999973297119},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7009000182151794},{"id":"https://openalex.org/C138660444","wikidata":"https://www.wikidata.org/wiki/Q5607897","display_name":"Telecommunications link","level":2,"score":0.6967999935150146},{"id":"https://openalex.org/C138293262","wikidata":"https://www.wikidata.org/wiki/Q1089578","display_name":"Linear network coding","level":3,"score":0.5796999931335449},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.5623999834060669},{"id":"https://openalex.org/C24885549","wikidata":"https://www.wikidata.org/wiki/Q339678","display_name":"Distributed data store","level":2,"score":0.4677000045776367},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.43160000443458557},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4169999957084656},{"id":"https://openalex.org/C2778790127","wikidata":"https://www.wikidata.org/wiki/Q484885","display_name":"Erasure","level":2,"score":0.396699994802475},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.37310001254081726},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.36469998955726624},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.3481999933719635},{"id":"https://openalex.org/C193519340","wikidata":"https://www.wikidata.org/wiki/Q891179","display_name":"Data loss","level":2,"score":0.34380000829696655},{"id":"https://openalex.org/C153646914","wikidata":"https://www.wikidata.org/wiki/Q535695","display_name":"Cellular network","level":2,"score":0.3174000084400177},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.3061000108718872},{"id":"https://openalex.org/C23725684","wikidata":"https://www.wikidata.org/wiki/Q616377","display_name":"Maintenance engineering","level":2,"score":0.29170000553131104},{"id":"https://openalex.org/C194739806","wikidata":"https://www.wikidata.org/wiki/Q66221","display_name":"Computer data storage","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.28690001368522644},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.2515999972820282}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cluster59342.2025.11186483","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cluster59342.2025.11186483","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Cluster Computing (CLUSTER)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5858940742","display_name":null,"funder_award_id":"2024CDJGF-003,2024CDJGF-019","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6249849825","display_name":null,"funder_award_id":"62402070","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W169198699","https://openalex.org/W1836955865","https://openalex.org/W1993892970","https://openalex.org/W2004958263","https://openalex.org/W2022619326","https://openalex.org/W2105185344","https://openalex.org/W2119738171","https://openalex.org/W2129716147","https://openalex.org/W2138744797","https://openalex.org/W2148575324","https://openalex.org/W2157614013","https://openalex.org/W2341029337","https://openalex.org/W2884697754","https://openalex.org/W2963163039","https://openalex.org/W2963579596","https://openalex.org/W2982451844","https://openalex.org/W3032917738","https://openalex.org/W3093895572","https://openalex.org/W3118621910","https://openalex.org/W3171672558","https://openalex.org/W3215583150","https://openalex.org/W4210645050","https://openalex.org/W4213440786","https://openalex.org/W4238584892","https://openalex.org/W4255228454","https://openalex.org/W4285504022","https://openalex.org/W4312989289","https://openalex.org/W4384705421","https://openalex.org/W4387377969","https://openalex.org/W4392173018"],"related_works":[],"abstract_inverted_index":{"Distributed":[0],"storage":[1,17],"systems":[2],"ensure":[3],"data":[4,27],"availability":[5],"through":[6,116],"fault-tolerant":[7],"mechanisms,":[8],"with":[9],"erasure":[10,20],"coding":[11,21],"widely":[12],"adopted":[13],"for":[14,65,139,150],"its":[15],"low":[16],"overhead.":[18],"However,":[19],"generates":[22],"significant":[23],"repair":[24,33,56,81,110,128],"traffic":[25],"during":[26],"recovery,":[28],"severely":[29],"degrading":[30],"performance.":[31],"Recent":[32],"algorithms":[34,60],"aim":[35],"to":[36,132,154],"alleviate":[37],"network":[38,100,104],"bottlenecks":[39,48,89],"at":[40],"congested":[41],"nodes,":[42],"but":[43],"they":[44],"primarily":[45],"address":[46],"downlink":[47,88],"while":[49],"neglecting":[50],"uplink":[51,86],"constraints,":[52],"which":[53],"fundamentally":[54],"limit":[55],"efficiency.":[57],"Furthermore,":[58],"these":[59],"lack":[61],"a":[62,117],"systematic":[63],"approach":[64],"handling":[66],"diverse":[67,113],"failure":[68,114],"scenarios,":[69],"complicating":[70],"recover":[71],"implementation.":[72],"In":[73],"this":[74],"paper,":[75],"we":[76],"propose":[77],"RAN,":[78],"an":[79],"aggregation-based":[80],"algorithm":[82],"that":[83,125],"alleviates":[84],"both":[85],"and":[87,98,142],"by":[90,130],"optimizing":[91],"bandwidth":[92],"utilization":[93],"across":[94,112],"all":[95],"available":[96],"nodes":[97],"aggregating":[99],"transfers":[101],"via":[102],"programmable":[103],"devices.":[105],"Additionally,":[106],"RAN":[107,126],"systematically":[108],"maximizes":[109],"performance":[111],"scenarios":[115],"unified":[118],"procedure.":[119],"Experiments":[120],"on":[121],"Amazon":[122],"EC2":[123],"show":[124],"improves":[127],"throughput":[129],"up":[131],"<tex":[133,143],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[134,144],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathbf{6":[135],"8.":[136],"9":[137],"\\%}$</tex>":[138,149],"degraded":[140],"read":[141],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$\\mathbf{2":[145],"6":[146,148],"6.":[147],"full-node":[151],"recovery":[152],"compared":[153],"state-of-the-art":[155],"algorithms.":[156]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}