Error Correction by Natural Redundancy for Long Term Storage
Error Correction by Natural Redundancy for Long Term Storage
复制标题
通过自然冗余进行纠错以实现长期存储
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
Jehoshua Bruck
中科院分区：
文献类型：
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作者：
Andrew Jiang;Pulakesh Upadhyaya;Jehoshua Bruck
非易失性存储器对于大数据存储越来越重要。然而，它们的长期数据可靠性面临重大挑战。这项工作研究如何利用数据中的自然冗余来进行纠错。自然冗余可以与纠错码相结合，有效提高数据的可靠性。这项工作研究了自然冗余的几个方面：压缩数据中自然冗余的有效发现、具有自然冗余的纠错码的纠错能力以及对具有自然冗余的数据建模的随机码的有效解码。
Non-volatile memories are increasingly important for big-data storage. However, their long-term data reliability has significant challenges. This work studies how to use the natural redundancy in data for error correction. The natural redundancy can be combined with error-correcting codes to effectively improve data reliability. This work studies several aspects of natural redundancy: effective discovery of natural redundancy in compressed data, error-correction capability of error-correcting codes with natural redundancy, and efficient decoding of random codes that model data with natural redundancy.