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020 ▼a 9780438168183
035 ▼a (MiAaPQ)AAI10815266
035 ▼a (MiAaPQ)ucsd:17406
040 ▼a MiAaPQ ▼c MiAaPQ ▼d 247004
0820 ▼a 621.3
1001 ▼a Huang, Pengfei.
24510 ▼a Coding for Distributed Storage and Flash Memories.
260 ▼a [S.l.]: ▼b University of California, San Diego., ▼c 2018.
260 1 ▼a Ann Arbor: ▼b ProQuest Dissertations & Theses, ▼c 2018.
300 ▼a 170 p.
500 ▼a Source: Dissertation Abstracts International, Volume: 79-12(E), Section: B.
500 ▼a Adviser: Paul H. Siegel.
5021 ▼a Thesis (Ph.D.)--University of California, San Diego, 2018.
520 ▼a A modern large-scale storage system usually consists of a number of distributed storage nodes, each of which is made up of many storage devices, like flash memory chips. To maintain the data integrity in the system, two independent layers of dat
520 ▼a The first part of this dissertation is devoted to studying a new class of erasure codes called locally repairable codes (LRCs) for distributed storage. We focus on LRCs over small fields
520 ▼a The second part of this dissertation aims to construct new ECCs and analyze the fundamental performance limits for flash memories. We propose a general framework for constructing rate-compatible ECCs which are capable of adapting different error
590 ▼a School code: 0033.
650 4 ▼a Electrical engineering.
690 ▼a 0544
71020 ▼a University of California, San Diego. ▼b Electrical Engineering (Communication Theory and Systems).
7730 ▼t Dissertation Abstracts International ▼g 79-12B(E).
773 ▼t Dissertation Abstract International
790 ▼a 0033
791 ▼a Ph.D.
792 ▼a 2018
793 ▼a English
85640 ▼u http://www.riss.kr/pdu/ddodLink.do?id=T14998164 ▼n KERIS ▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다.
980 ▼a 201812 ▼f 2019
990 ▼a ***1012033