DocumentCode :
1474071
Title :
Conditional ({t}, k)-Diagnosis under the PMC Model
Author :
Guey-Yun Chang
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Central Univ., Jhongli, Taiwan
Volume :
22
Issue :
11
fYear :
2011
Firstpage :
1797
Lastpage :
1803
Abstract :
In this paper, assuming that each vertex is neighboring to at least one fault-free vertex, we investigate the (t,k)-diagnosability of a graph G under the PMC model. Lower bounds on the numeric degrees of (t,k)-diagnosability are suggested when G is a general graph or G is a regular graph. In particular, the following results are obtained. Symmetric d-dimensional grids are ({N-mover 2d}, {min} {m, 2d-1} )-diagnosable, where dge 2, 1le mle 2d-1, and N are the number of vertices. Symmetric d-dimensional tori are ({N+0.62 N^{{2over 3} }-2over 4},1)-diagnosable if d=2, and ({N-mover 2d}, {min} {m, 4d-2} )-diagnosable if dge 3, where 1le mle 4d-2. Hypercubes are ({N-2log N+2over log N},2log N-2)-diagnosable. Cube-connected cycles are ({N-mover 3}, {min} {m, 4} )-diagnosable, where 1le m le 4; k-ary trees are ({N-1over k}, 1)-diagnosable.
Keywords :
fault trees; graph theory; multiprocessing systems; program diagnostics; PMC model; conditional t k diagnosis; cube connected cycles; fault free vertex; graph G theory; k-ary trees; numeric degrees; symmetric d-dimensional grids; Aggregates; Computational modeling; Hypercubes; Maintenance engineering; Sequential diagnosis; Testing; Wireless sensor networks; (t; Conditional fault; PMC model; fault-tolerance; k)-diagnosis.; multiprocessor system; sequential diagnosis; system-level diagnosis;
fLanguage :
English
Journal_Title :
Parallel and Distributed Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9219
Type :
jour
DOI :
10.1109/TPDS.2011.84
Filename :
5733340
Link To Document :
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