DocumentCode :
758674
Title :
Transposition networks as a class of fault-tolerant robust networks
Author :
Latifi, Shahram ; Srimani, Pradip K.
Author_Institution :
Dept. of Electr. Eng., Nevada Univ., Las Vegas, NV, USA
Volume :
45
Issue :
2
fYear :
1996
fDate :
2/1/1996 12:00:00 AM
Firstpage :
230
Lastpage :
238
Abstract :
The paper proposes designs of interconnection networks (graphs) which can tolerate link failures. The networks under study belong to a subclass of Cayley graphs whose generators are subsets of all possible transpositions. We specifically focus on star and bubble sort networks. Our approach is to augment existing dimensions (or generators) with one or more dimensions. If the added dimension is capable of replacing any arbitrary failed dimension, it is called a wildcard dimension. It is shown that, up to isomorphism among digits used in labeling the vertices, the generators of the star graph are unique. The minimum number of extra dimensions needed to acquire i wildcard dimensions is derived for the star and bubble sort networks. Interestingly, the optimally augmented star network coincides with the Transposition network, Tn. Transposition networks are studied rigorously. These networks are shown to be optimally fault tolerant. Tn is also shown to possess wide containers with short length. Fault diameter of Tn is shown to be n. While the T can efficiently embed star and bubble sort graphs, it can also lend itself to an efficient embedding of meshes and hypercubes
Keywords :
fault tolerant computing; graph theory; multiprocessor interconnection networks; reliability; sorting; Cayley graphs; Transposition network; arbitrary failed dimension; bubble sort networks; bubblesort networks; fault tolerant robust networks; hypercubes; interconnection networks; isomorphism; link failures; meshes; optimally augmented star network; optimally fault tolerant; star networks; transposition networks; wildcard dimension; Containers; Failure analysis; Fault tolerance; Hypercubes; Intelligent networks; Labeling; Multiprocessor interconnection networks; Network topology; Resilience; Robustness;
fLanguage :
English
Journal_Title :
Computers, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9340
Type :
jour
DOI :
10.1109/12.485375
Filename :
485375
Link To Document :
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