{"id":"https://openalex.org/W4412431815","doi":"https://doi.org/10.1109/noms57970.2025.11073718","title":"TSG: A New Approach to Preserving Same-Timestamp Data in Time-Series Databases","display_name":"TSG: A New Approach to Preserving Same-Timestamp Data in Time-Series Databases","publication_year":2025,"publication_date":"2025-05-12","ids":{"openalex":"https://openalex.org/W4412431815","doi":"https://doi.org/10.1109/noms57970.2025.11073718"},"language":"en","primary_location":{"id":"doi:10.1109/noms57970.2025.11073718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms57970.2025.11073718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2025-2025 IEEE Network Operations and Management Symposium","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":"https://openalex.org/A5106841574","display_name":"Soonbeom Kwon","orcid":"https://orcid.org/0009-0006-0701-9582"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Soonbeom Kwon","raw_affiliation_strings":["School of Computer Science and Engineering, Kyungpook National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Kyungpook National University","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Cheongu Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Cheongu Kim","raw_affiliation_strings":["School of Computer Science and Engineering, Kyungpook National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Kyungpook National University","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101626811","display_name":"Young\u2010Kyoon Suh","orcid":"https://orcid.org/0000-0003-3124-2566"},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Young-Kyoon Suh","raw_affiliation_strings":["School of Computer Science and Engineering, Kyungpook National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Kyungpook National University","institution_ids":["https://openalex.org/I31419693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I31419693"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17263827,"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":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.9995999932289124,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11106","display_name":"Data Management and Algorithms","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10317","display_name":"Advanced Database Systems and Queries","score":0.9979000091552734,"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/timestamp","display_name":"Timestamp","score":0.8895910978317261},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.75360107421875},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6086358428001404},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.5756860971450806},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.46595343947410583},{"id":"https://openalex.org/keywords/temporal-database","display_name":"Temporal database","score":0.4322183132171631},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41922903060913086},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3289147615432739},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.11965805292129517},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.07230204343795776}],"concepts":[{"id":"https://openalex.org/C113954288","wikidata":"https://www.wikidata.org/wiki/Q186885","display_name":"Timestamp","level":2,"score":0.8895910978317261},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.75360107421875},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6086358428001404},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.5756860971450806},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.46595343947410583},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.4322183132171631},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41922903060913086},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3289147615432739},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.11965805292129517},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.07230204343795776},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/noms57970.2025.11073718","is_oa":false,"landing_page_url":"https://doi.org/10.1109/noms57970.2025.11073718","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"NOMS 2025-2025 IEEE Network Operations and Management Symposium","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4141314232","display_name":null,"funder_award_id":"RS-2021-NR066188,RS-2018-NR031059","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2083649489","https://openalex.org/W2156468933","https://openalex.org/W2172041433","https://openalex.org/W2304108215","https://openalex.org/W2475932436","https://openalex.org/W2587323806","https://openalex.org/W2734941459","https://openalex.org/W4288070818","https://openalex.org/W4381326806","https://openalex.org/W4386128194","https://openalex.org/W4393564644","https://openalex.org/W6705331335"],"related_works":["https://openalex.org/W2579899204","https://openalex.org/W2574209248","https://openalex.org/W2884490506","https://openalex.org/W2483088531","https://openalex.org/W2119012848","https://openalex.org/W2622688551","https://openalex.org/W1550175370","https://openalex.org/W4401920050","https://openalex.org/W2294686723","https://openalex.org/W2601871130"],"abstract_inverted_index":{"With":[0],"the":[1,11,20],"growing":[2],"adoption":[3],"of":[4,6,13,23,124],"Internet":[5],"Things":[7],"(IoT)sensors":[8],"and":[9,33,43],"applications,":[10],"volume":[12],"time-series":[14,24,62,82,125],"data":[15,29,54,63,83,100,126,134],"is":[16],"expanding":[17],"rapidly,":[18],"underscoring":[19],"increasing":[21],"importance":[22],"databases":[25],"(TSDBs)":[26],"for":[27],"efficient":[28],"management":[30,55],"across":[31,130],"edge":[32],"cloud":[34],"environments.":[35],"TSDBs":[36,58,111,132],"are":[37],"required":[38],"to":[39,46,52,98,147],"deliver":[40],"high":[41],"throughput":[42],"low":[44],"latency":[45],"meet":[47],"performance":[48],"demands.":[49],"However,":[50],"due":[51],"strict":[53],"rules,":[56],"conventional":[57],"often":[59],"overwrite":[60],"redundant":[61],"with":[64,84,127],"identical":[65,85,128],"timestamps.":[66],"To":[67],"overcome":[68],"this":[69],"limitation,":[70],"we":[71],"propose":[72],"Tag-based":[73],"Sequential":[74],"Grouping":[75],"(TSG),":[76],"a":[77,94,151],"novel":[78],"approach":[79],"that":[80,119],"preserves":[81],"timestamps":[86,129],"in":[87],"TSDBs.":[88],"TSG":[89,108,120,137],"leverages":[90],"tag":[91],"identifiers":[92],"as":[93],"secondary":[95],"indexing":[96],"mechanism":[97],"store":[99],"without":[101,133],"overwriting,":[102],"ensuring":[103],"complete":[104],"retention.":[105],"We":[106],"evaluate":[107],"on":[109,150],"state-of-the-art":[110],"using":[112],"real-world":[113],"datasets.":[114],"Our":[115],"experimental":[116],"results":[117],"demonstrate":[118],"successfully":[121],"retains":[122],"100%":[123],"various":[131],"loss.":[135],"Moreover,":[136],"significantly":[138],"enhances":[139],"read":[140],"latency,":[141],"outperforming":[142],"existing":[143],"methods":[144],"by":[145],"up":[146],"322":[148],"times":[149],"6-hour":[152],"interval":[153],"range":[154],"query.":[155]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
