Please use this identifier to cite or link to this item: https://hdl.handle.net/11499/47595
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dc.contributor.authorKaya E.-
dc.contributor.authorPourmandi M.-
dc.contributor.authorHaytaoglu E.-
dc.contributor.authorArslan S.S.-
dc.date.accessioned2023-01-09T21:29:19Z-
dc.date.available2023-01-09T21:29:19Z-
dc.date.issued2022-
dc.identifier.isbn9781665450928-
dc.identifier.urihttps://doi.org/10.1109/SIU55565.2022.9864789-
dc.identifier.urihttps://hdl.handle.net/11499/47595-
dc.description30th Signal Processing and Communications Applications Conference, SIU 2022 -- 15 May 2022 through 18 May 2022 -- 182415en_US
dc.description.abstractIn distributed storage systems/coded caching systems, padding operations should be performed when the encoded data cannot be divided by the number of storage nodes evenly. Thus, extra zero values are stored in one of the nodes to balance each node's storage content. In this study, distribution of data to storage nodes with no padding was investigated for distributed caching context in which a base station and devices both store the coded data. In other words, no redundancy (no-padding) is included into the encoded data. This approach is named as residual data distribution. LDPC codes are selected as the erasure code due to their low complexity encode/decode operations. Moreover, performance comparisons were conducted between using traditional data distribution approach (with padding) and using residual data (use of no-padding) (standard) in terms of repair time. In our work, the effect of no-padding data usage on the repair time and the ratios of storage savings have been also demonstrated. © 2022 IEEE.en_US
dc.description.sponsorshipTürkiye Bilimsel ve Teknolojik Araştırma Kurumu, TÜBİTAK: 119E235en_US
dc.description.sponsorshipThis study is supported by TUBITAK under grant no 119E235.en_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof2022 30th Signal Processing and Communications Applications Conference, SIU 2022en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectcachingen_US
dc.subjectdevice-to-device communicationen_US
dc.subjectdistributed systemsen_US
dc.subjecterasure codesen_US
dc.subjectCodes (symbols)en_US
dc.subjectForward error correctionen_US
dc.subjectMultiprocessing systemsen_US
dc.subjectCachingen_US
dc.subjectData distributionen_US
dc.subjectData usageen_US
dc.subjectDevice-to-Device communicationsen_US
dc.subjectDistributed systemsen_US
dc.subjectErasure codesen_US
dc.subjectLDPC-codeen_US
dc.subjectRepair timeen_US
dc.subjectResidual datumen_US
dc.subjectStorage nodesen_US
dc.subjectDigital storageen_US
dc.titleResidual Data Usage in LDPC Codesen_US
dc.title.alternativeLDPC Kodlarinda Artik Veri Kullanimien_US
dc.typeConference Objecten_US
dc.identifier.doi10.1109/SIU55565.2022.9864789-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.authorscopusid57222303608-
dc.authorscopusid57155300400-
dc.authorscopusid55839391400-
dc.authorscopusid35955672100-
dc.identifier.scopus2-s2.0-85138740606en_US
item.languageiso639-1en-
item.openairetypeConference Object-
item.grantfulltextopen-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.dept10.10. Computer Engineering-
Appears in Collections:Mühendislik Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
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