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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cheng Huang Jin Li Minghua Chen |
| Copyright Year | 2007 |
| Description | Author affiliation: Microsoft Res., Redmond (Cheng Huang; Jin Li; Minghua Chen) |
| Abstract | For fault-tolerant storage applications, computation complexity is the key concern in choosing XOR-based codes. We observe that there is great benefit in computing common operations first (COF). Based on the COF rule, we describe a generic problem of optimizing XOR-based codes and make a conjecture about its NP-completeness. Two effective greedy algorithms are proposed. Against long odds, we show that XOR-based Reed-Solomon codes with such optimization can in fact be as efficient and sometimes even more efficient than the best known specifically designed XOR-based codes. |
| Starting Page | 218 |
| Ending Page | 223 |
| File Size | 292538 |
| Page Count | 6 |
| File Format | |
| ISBN | 1424415632 |
| DOI | 10.1109/ITW.2007.4313077 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-09-02 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Reed-Solomon codes Greedy algorithms Fault tolerance Redundancy Computer applications Lakes Encoding Decoding Application software Design optimization |
| Content Type | Text |
| Resource Type | Article |
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