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https://hdl.handle.net/11499/9000| Title: | File repair with cluster based distributed storage system | Authors: | Haytaoğlu, Elif Dalkilic, M.E. |
Keywords: | cluster distributed storage systems erasure codes file repair Codes (symbols) Forward error correction Multiprocessing systems Signal processing Cluster-based Distributed storage system Erasure codes File repair Resource costs Repair |
Publisher: | Institute of Electrical and Electronics Engineers Inc. | Abstract: | Heteregenous distributed storage systems consists of nodes which have different CPU powers and communication bandwiths while erasure codes that are commonly used on them significantly vary in their use of these resources. Clustering the nodes of a distributed storage system based on the resource costs and assigning appropriate erasure codes to each cluster can improve the performance of file repair operations. A simulaton study shows that this approach can reduce file repair costs somewhere between 6 percent to 44 percent by dividing nodes in three clusters and using HSRC, EMBR and HMBR erasure codes on these clusters. © 2017 IEEE. | URI: | https://hdl.handle.net/11499/9000 https://doi.org/10.1109/SIU.2017.7960225 |
ISBN: | 9781509064946 |
| Appears in Collections: | Mühendislik Fakültesi Koleksiyonu Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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