تقرير
Rack-Aware Regenerating Codes with Multiple Erasure Tolerance
| العنوان: | Rack-Aware Regenerating Codes with Multiple Erasure Tolerance |
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| المؤلفون: | Zhou, Liyang, Zhang, Zhifang |
| المصدر: | IEEE Transactions on Communications, Volume 70, Issue 7, pp. 4316 - 4326, July 2022 |
| سنة النشر: | 2021 |
| مصطلحات موضوعية: | Computer Science - Information Theory |
| الوصف: | In a modern distributed storage system, storage nodes are organized in racks, and the cross-rack communication dominates the system bandwidth. In We study the rack-aware storage system where all storage nodes are organized in racks and within each rack the nodes can communicate freely without taxing the system bandwidth. Rack-aware regenerating codes (RRCs) were proposed for minimizing the repair bandwidth for single erasures. In the initial setting of RRCs, the repair of a single node requires the participation of all the remaining nodes in the rack containing the failed node as well as a large number of helper racks containing no failures. Consequently, the repair may be infeasible in front of multiple node failures. In this work, a relaxed repair model that can tolerate multiple node failures by simultaneously reducing the intra-rack connections and cross-rack connections is proposed. A tradeoff between the storage and repair bandwidth under the relaxed repair model is derived, and parameters of the two extreme points on the tradeoff curve are characterized for the minimum storage and minimum bandwidth respectively. Moreover, two codes corresponding to the extreme points are explicitly constructed over the fields of size comparable to the code length and with the lowest sub-packetization. Finally, for the convenience of practical use, systematic encoding processes for the two codes are also established. Comment: 13 pages, 2 figures |
| نوع الوثيقة: | Working Paper |
| DOI: | 10.1109/TCOMM.2022.3175826 |
| URL الوصول: | http://arxiv.org/abs/2106.03302 |
| رقم الأكسشن: | edsarx.2106.03302 |
| قاعدة البيانات: | arXiv |
| DOI: | 10.1109/TCOMM.2022.3175826 |
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