A comparison-based diagnosis algorithm tailored for crossed cube multiprocessor systems
Comparison-based diagnosis is an effective approach to system-level fault diagnosis. Under the Maeng–Malek comparison model (MM* model), Sengupta and Dahbura proposed an O( N 5) diagnosis algorithm for general diagnosable systems with N nodes. Thanks to lower diameter and better graph embedding capa...
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Veröffentlicht in: | Microprocessors and microsystems 2005-05, Vol.29 (4), p.169-175 |
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creator | Yang, Xiaofan Megson, Graham M. Evans, David J. |
description | Comparison-based diagnosis is an effective approach to system-level fault diagnosis. Under the Maeng–Malek comparison model (MM* model), Sengupta and Dahbura proposed an O(
N
5) diagnosis algorithm for general diagnosable systems with
N nodes. Thanks to lower diameter and better graph embedding capability as compared with a hypercube of the same size, the crossed cube has been a promising candidate for interconnection networks. In this paper, we propose a fault diagnosis algorithm tailored for crossed cube connected multicomputer systems under the MM* model. By introducing appropriate data structures, this algorithm runs in
O
(
N
log
2
2
N
)
time, which is linear in the size of the input. As a result, this algorithm is significantly superior to the Sengupta–Dahbura's algorithm when applied to crossed cube systems. |
doi_str_mv | 10.1016/j.micpro.2004.08.002 |
format | Article |
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N
5) diagnosis algorithm for general diagnosable systems with
N nodes. Thanks to lower diameter and better graph embedding capability as compared with a hypercube of the same size, the crossed cube has been a promising candidate for interconnection networks. In this paper, we propose a fault diagnosis algorithm tailored for crossed cube connected multicomputer systems under the MM* model. By introducing appropriate data structures, this algorithm runs in
O
(
N
log
2
2
N
)
time, which is linear in the size of the input. As a result, this algorithm is significantly superior to the Sengupta–Dahbura's algorithm when applied to crossed cube systems.</description><identifier>ISSN: 0141-9331</identifier><identifier>EISSN: 1872-9436</identifier><identifier>DOI: 10.1016/j.micpro.2004.08.002</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Comparison model ; Crossed cube ; Diagnosis algorithm ; System-level fault diagnosis</subject><ispartof>Microprocessors and microsystems, 2005-05, Vol.29 (4), p.169-175</ispartof><rights>2004 Elsevier B.V.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c337t-375ae545707f00e4509a9fb3940777ee6dc1aa4e98b3c5fa950a764ffa7914cf3</citedby><cites>FETCH-LOGICAL-c337t-375ae545707f00e4509a9fb3940777ee6dc1aa4e98b3c5fa950a764ffa7914cf3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.sciencedirect.com/science/article/pii/S014193310400095X$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,776,780,3537,27901,27902,65306</link.rule.ids></links><search><creatorcontrib>Yang, Xiaofan</creatorcontrib><creatorcontrib>Megson, Graham M.</creatorcontrib><creatorcontrib>Evans, David J.</creatorcontrib><title>A comparison-based diagnosis algorithm tailored for crossed cube multiprocessor systems</title><title>Microprocessors and microsystems</title><description>Comparison-based diagnosis is an effective approach to system-level fault diagnosis. Under the Maeng–Malek comparison model (MM* model), Sengupta and Dahbura proposed an O(
N
5) diagnosis algorithm for general diagnosable systems with
N nodes. Thanks to lower diameter and better graph embedding capability as compared with a hypercube of the same size, the crossed cube has been a promising candidate for interconnection networks. In this paper, we propose a fault diagnosis algorithm tailored for crossed cube connected multicomputer systems under the MM* model. By introducing appropriate data structures, this algorithm runs in
O
(
N
log
2
2
N
)
time, which is linear in the size of the input. As a result, this algorithm is significantly superior to the Sengupta–Dahbura's algorithm when applied to crossed cube systems.</description><subject>Comparison model</subject><subject>Crossed cube</subject><subject>Diagnosis algorithm</subject><subject>System-level fault diagnosis</subject><issn>0141-9331</issn><issn>1872-9436</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><recordid>eNp9kEtPwzAQhC0EEuXxDzjkxC1hHdtxckGqKl5SJS4gjpbrrIurpC7eBKn_npRy5rSHmZ2d_Ri74VBw4NXdpuiD26VYlACygLoAKE_YjNe6zBspqlM2Ay553gjBz9kF0QYAFFTljH3MMxf7nU2B4jZfWcI2a4NdbyMFymy3jikMn3022NDFNIk-psylSAejG1eY9WM3hOm4Q6JJoz0N2NMVO_O2I7z-m5fs_fHhbfGcL1-fXhbzZe6E0EMutLKopNKgPQBKBY1t_Eo0ErTWiFXruLUSm3olnPK2UWB1Jb23uuHSeXHJbo-5U4OvEWkwfSCHXWe3GEcyZa1Ay0pNRnk0_pZP6M0uhd6mveFgDhTNxhwpmgNFA7WZKE5r98c1nJ74DpgMuYBbh21I6AbTxvB_wA8CCH8X</recordid><startdate>20050506</startdate><enddate>20050506</enddate><creator>Yang, Xiaofan</creator><creator>Megson, Graham M.</creator><creator>Evans, David J.</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20050506</creationdate><title>A comparison-based diagnosis algorithm tailored for crossed cube multiprocessor systems</title><author>Yang, Xiaofan ; Megson, Graham M. ; Evans, David J.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c337t-375ae545707f00e4509a9fb3940777ee6dc1aa4e98b3c5fa950a764ffa7914cf3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Comparison model</topic><topic>Crossed cube</topic><topic>Diagnosis algorithm</topic><topic>System-level fault diagnosis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yang, Xiaofan</creatorcontrib><creatorcontrib>Megson, Graham M.</creatorcontrib><creatorcontrib>Evans, David J.</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>Microprocessors and microsystems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yang, Xiaofan</au><au>Megson, Graham M.</au><au>Evans, David J.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A comparison-based diagnosis algorithm tailored for crossed cube multiprocessor systems</atitle><jtitle>Microprocessors and microsystems</jtitle><date>2005-05-06</date><risdate>2005</risdate><volume>29</volume><issue>4</issue><spage>169</spage><epage>175</epage><pages>169-175</pages><issn>0141-9331</issn><eissn>1872-9436</eissn><abstract>Comparison-based diagnosis is an effective approach to system-level fault diagnosis. Under the Maeng–Malek comparison model (MM* model), Sengupta and Dahbura proposed an O(
N
5) diagnosis algorithm for general diagnosable systems with
N nodes. Thanks to lower diameter and better graph embedding capability as compared with a hypercube of the same size, the crossed cube has been a promising candidate for interconnection networks. In this paper, we propose a fault diagnosis algorithm tailored for crossed cube connected multicomputer systems under the MM* model. By introducing appropriate data structures, this algorithm runs in
O
(
N
log
2
2
N
)
time, which is linear in the size of the input. As a result, this algorithm is significantly superior to the Sengupta–Dahbura's algorithm when applied to crossed cube systems.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.micpro.2004.08.002</doi><tpages>7</tpages></addata></record> |
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source | Elsevier ScienceDirect Journals Complete |
subjects | Comparison model Crossed cube Diagnosis algorithm System-level fault diagnosis |
title | A comparison-based diagnosis algorithm tailored for crossed cube multiprocessor systems |
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