Conditional (t, k)-diagnosis under the MM* model
碩士 === 國立中央大學 === 資訊工程學系 === 101 === System-level diagnosis is used to identify faulty processors. Each processor in the system can test its neighboring processors and declare them fault-free or faulty. And (t, k)-diagnosis is an conceptualization of sequential diagnosis. In (t, k)-diagnosis, at lea...
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ndltd-TW-101NCU053921142015-10-13T22:34:50Z http://ndltd.ncl.edu.tw/handle/41510935455489586644 Conditional (t, k)-diagnosis under the MM* model 於MM*模式下的(t, k)-條件式偵錯度 Shih-ping Huang 黃詩蘋 碩士 國立中央大學 資訊工程學系 101 System-level diagnosis is used to identify faulty processors. Each processor in the system can test its neighboring processors and declare them fault-free or faulty. And (t, k)-diagnosis is an conceptualization of sequential diagnosis. In (t, k)-diagnosis, at least k faulty processors (or all faulty processors if fewer than k faulty processors remain) are identified and repaired in each iteration provided there are at most t faulty processors. In this paper, it assumes that each processor neighbor to at least one fault-free processor. We prove the conditional (t, k)-diagnosability of the r-regular graph under the MM* model. Guey-Yun Cheng 張貴雲 2013 學位論文 ; thesis 27 zh-TW |
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碩士 === 國立中央大學 === 資訊工程學系 === 101 === System-level diagnosis is used to identify faulty processors. Each processor in the
system can test its neighboring processors and declare them fault-free or faulty. And
(t, k)-diagnosis is an conceptualization of sequential diagnosis. In (t, k)-diagnosis, at
least k faulty processors (or all faulty processors if fewer than k faulty processors
remain) are identified and repaired in each iteration provided there are at most t faulty
processors. In this paper, it assumes that each processor neighbor to at least one
fault-free processor. We prove the conditional (t, k)-diagnosability of the r-regular
graph under the MM* model.
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author2 |
Guey-Yun Cheng |
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Guey-Yun Cheng Shih-ping Huang 黃詩蘋 |
author |
Shih-ping Huang 黃詩蘋 |
spellingShingle |
Shih-ping Huang 黃詩蘋 Conditional (t, k)-diagnosis under the MM* model |
author_sort |
Shih-ping Huang |
title |
Conditional (t, k)-diagnosis under the MM* model |
title_short |
Conditional (t, k)-diagnosis under the MM* model |
title_full |
Conditional (t, k)-diagnosis under the MM* model |
title_fullStr |
Conditional (t, k)-diagnosis under the MM* model |
title_full_unstemmed |
Conditional (t, k)-diagnosis under the MM* model |
title_sort |
conditional (t, k)-diagnosis under the mm* model |
publishDate |
2013 |
url |
http://ndltd.ncl.edu.tw/handle/41510935455489586644 |
work_keys_str_mv |
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