{"id":"https://openalex.org/W2607144208","doi":"https://doi.org/10.1145/3030207.3030219","title":"Practical Implication of Analytical Models for SSD Write Amplification","display_name":"Practical Implication of Analytical Models for SSD Write Amplification","publication_year":2017,"publication_date":"2017-04-17","ids":{"openalex":"https://openalex.org/W2607144208","doi":"https://doi.org/10.1145/3030207.3030219","mag":"2607144208"},"language":"en","primary_location":{"id":"doi:10.1145/3030207.3030219","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3030207.3030219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering","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/A5001550679","display_name":"Chang-Hyun Park","orcid":"https://orcid.org/0000-0001-5575-1467"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Changhyun Park","raw_affiliation_strings":["Hanyang University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026149237","display_name":"Seongjin Lee","orcid":"https://orcid.org/0000-0003-0760-1880"},"institutions":[{"id":"https://openalex.org/I189442560","display_name":"Gyeongsang National University","ror":"https://ror.org/00saywf64","country_code":"KR","type":"education","lineage":["https://openalex.org/I189442560"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seongjin Lee","raw_affiliation_strings":["Gyeongsang National University, Jinju-si, Gyeongsangnam-do, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Gyeongsang National University, Jinju-si, Gyeongsangnam-do, Republic of Korea","institution_ids":["https://openalex.org/I189442560"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110391759","display_name":"Youjip Won","orcid":"https://orcid.org/0000-0001-7178-5245"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Youjip Won","raw_affiliation_strings":["Hanyang University, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005238617","display_name":"Soohan Ahn","orcid":"https://orcid.org/0000-0002-5945-0458"},"institutions":[{"id":"https://openalex.org/I124633538","display_name":"University of Seoul","ror":"https://ror.org/05en5nh73","country_code":"KR","type":"education","lineage":["https://openalex.org/I124633538"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soohan Ahn","raw_affiliation_strings":["The University of Seoul, Seoul, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The University of Seoul, Seoul, Republic of Korea","institution_ids":["https://openalex.org/I124633538"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2248,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.3406639,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"257","last_page":"262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11181","display_name":"Advanced Data Storage Technologies","score":1.0,"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":1.0,"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":0.9783999919891357,"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"}},{"id":"https://openalex.org/T11478","display_name":"Caching and Content Delivery","score":0.9485999941825867,"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/computer-science","display_name":"Computer science","score":0.819308876991272},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.7396944761276245},{"id":"https://openalex.org/keywords/factor","display_name":"Factor (programming language)","score":0.5425205826759338},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.5227123498916626},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.48585817217826843},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.12242123484611511},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.0691787600517273},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.0623457133769989}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.819308876991272},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.7396944761276245},{"id":"https://openalex.org/C2781039887","wikidata":"https://www.wikidata.org/wiki/Q1391724","display_name":"Factor (programming language)","level":2,"score":0.5425205826759338},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.5227123498916626},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.48585817217826843},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.12242123484611511},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0691787600517273},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0623457133769989}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3030207.3030219","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3030207.3030219","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 8th ACM/SPEC on International Conference on Performance Engineering","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W2006425633","https://openalex.org/W2015764591","https://openalex.org/W2051435086","https://openalex.org/W2061367020","https://openalex.org/W2068728923","https://openalex.org/W2097490816","https://openalex.org/W2099109704","https://openalex.org/W2112157291","https://openalex.org/W2128527485","https://openalex.org/W2132673251","https://openalex.org/W2159319022","https://openalex.org/W2165068957","https://openalex.org/W2183188383","https://openalex.org/W2957617864","https://openalex.org/W6684515133"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2000785801","https://openalex.org/W986318368","https://openalex.org/W2384410913","https://openalex.org/W2352878646","https://openalex.org/W2004734601","https://openalex.org/W2130149817","https://openalex.org/W2990194547","https://openalex.org/W1480123525"],"abstract_inverted_index":{"A":[0],"number":[1],"of":[2,13,31,61,99,104,116,127,143,155,172,179,191,194,201,220,229],"analytical":[3,35],"models":[4,36,53,82,101],"have":[5,83],"been":[6,85],"proposed":[7],"to":[8,17,26,64,169,188,213,225],"estimate":[9],"the":[10,14,19,28,32,39,52,80,88,96,100,113,124,144,156,170,177,185,192,199,202,210,226],"write":[11,40,66,74,97,125,141,164,218,227],"amplification":[12,75,98,126,142,165,219,228],"Flash":[15],"storage":[16],"obtain":[18,217],"expected":[20],"lifespan.":[21],"This":[22],"work":[23],"is":[24,134,150,166,223],"dedicated":[25],"examining":[27],"practical":[29],"implication":[30],"four":[33],"existing":[34,81,180],"for":[37],"estimating":[38],"amplification:":[41],"Coupon":[42],"Collector,":[43],"Uniform":[44,128],"Distribution,":[45,129],"Expected":[46,130],"Value":[47],"and":[48,137,198],"Markov":[49,132],"model.":[50],"Since":[51],"assume":[54],"uniform":[55,121],"random":[56,122],"workload":[57,231],"in":[58,72,76,232],"full":[59],"utilization":[60,200],"an":[62,117],"SSD":[63,118,146],"predict":[65],"amplification,":[67],"they":[68],"are":[69],"not":[70,84],"applicable":[71],"predicting":[73],"general":[77,230],"workload.":[78],"Moreover,":[79],"verified":[86],"with":[87,102],"real":[89,106,145,234],"SSD.":[90,107,235],"In":[91],"this":[92],"work,":[93],"we":[94,109,161,183,215],"compare":[95],"that":[103,154,163,207],"a":[105,195,233],"When":[108],"use":[110],"0.147":[111],"as":[112],"overprovisioning":[114,173,186,211],"factor":[115,187,212],"while":[119],"running":[120],"workload,":[123],"Value,":[131],"model":[133],"3.90,":[135],"4.08,":[136,138],"respectively.":[139],"However,":[140],"shows":[147],"1.19,":[148],"which":[149,222],"very":[151],"different":[152],"from":[153],"prediction":[157,181],"models.":[158],"Through":[159],"experiment,":[160],"found":[162],"closely":[167],"related":[168],"value":[171],"factor.":[174],"To":[175],"improve":[176],"accuracy":[178],"models,":[182],"update":[184],"take":[189],"account":[190],"ratio":[193],"hot":[196],"file":[197],"storage.":[203],"We":[204],"also":[205],"find":[206],"by":[208],"setting":[209],"1.15,":[214],"can":[216],"1.2":[221],"close":[224]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
