Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.11779/1569
Title: Data repair in BS-assisted distributed data caching
Other Titles: Baz istasyonu-yardımlı dağıtık veri önbelleklemede veri onarımı
Authors: Kaya, Erdi
Haytaoğlu, Elif
Arslan, Şuayb Şefik
Keywords: Maintenance engineering
Reed-Solomon codes
Base stations
Performance evaluation
Distributed databases
Random processes
Nanoelectromechanical systems
Dağıtık sistemler
Önbellekleme
Cihazlar arası iletişim
Silinti kodları
Publisher: IEEE
Source: E. Kaya, E. Haytaoglu and S. S. Arslan, (5-7 Oct. 2020). Data Repair in BS-assisted Distributed Data Caching," 2020 28th Signal Processing and Communications Applications Conference (SIU), pp. 1-4, doi: 10.1109/SIU49456.2020.9302319.
Abstract: In this paper, centralized and independent repair approaches based on device-to-device communication for the repair of the lost nodes have been investigated in a cellular network where distributed caching is applied whose fault tolerance is provided by erasure codes. The caching mechanisms based on Reed-Solomon codes and minimum bandwidth regenerating codes are adopted. The proposed approaches are analyzed in a simulation environment in terms of base station utilization load during the repair process. Based on the intuitive assumption that the base station is usually more costly than device-to-device communication, the centralized repair approach demonstrates a better performance than the independent repair approaches on the number of symbols retrieved from the base station. On the other hand, the centralized approach has not achieved a dramatic reduction in the number of symbols downloaded from the other devices.
URI: https://hdl.handle.net/20.500.11779/1569
https://doi.org/10.1109/SIU49456.2020.9302319
ISBN: 9781728172064
ISSN: 2165-0608
Appears in Collections:Bilgisayar Mühendisliği Bölümü koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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