Title :
Nearly optimal one-to-many parallel routing in star networks
Author :
Chen, Chi-Chang ; Chen, Jianer
Author_Institution :
Dept. of Comput. Sci. & Eng., Tatung Inst. of Technol., Taipei, Taiwan
Abstract :
Star networks were proposed recently as an attractive alternative to the well-known hypercube models for interconnection networks. Extensive research has been performed that shows that star networks are as versatile as hypercubes. This paper is an effort in the same direction. Based on the well-known paradigms, we study the one-to-many parallel routing problem on star networks and develop an improved routing algorithm that finds n-1 node-disjoint paths between one node and a set of other n-1 nodes in the n-star network. These parallel paths are proven of minimum length within a small additive constant, and our algorithm has an optimal time complexity. This result significantly improves the previous known algorithms for the problem. Moreover, the algorithm well illustrates an application of the orthogonal partition of star networks, which was observed by the original inventors of the star networks but seems generally overlooked in the subsequent study. We should also point out that similar problems are already studied for hypercubes and have proven useful in designing efficient and fault tolerant routing algorithms on hypercube networks
Keywords :
computational complexity; fault tolerant computing; multiprocessor interconnection networks; network routing; parallel architectures; fault tolerant routing; hypercube models; interconnection networks; optimal time complexity; orthogonal partition; parallel paths; parallel routing; parallel routing problem; routing algorithm; star networks; Algorithm design and analysis; Art; Computer networks; Computer science; Fault tolerance; Hypercubes; Intelligent networks; Multiprocessor interconnection networks; Partitioning algorithms; Routing;
Conference_Titel :
Parallel Processing Symposium, 1997. Proceedings., 11th International
Conference_Location :
Genva
Print_ISBN :
0-8186-7793-7
DOI :
10.1109/IPPS.1997.580987