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  • 标题:Petersen-star networks modeled by optical transpose interconnection system
  • 本地全文:下载
  • 作者:Jung-hyun Seo ; HyeongOk Lee
  • 期刊名称:International Journal of Distributed Sensor Networks
  • 印刷版ISSN:1550-1329
  • 电子版ISSN:1550-1477
  • 出版年度:2021
  • 卷号:17
  • 期号:11
  • 页码:1-9
  • DOI:10.1177/15501477211033115
  • 语种:English
  • 出版社:Hindawi Publishing Corporation
  • 摘要:One method to create a high-performance computer is to use parallel processing to connect multiple computers. The structure of the parallel processing system is represented as an interconnection network. Traditionally, the communication links that connect the nodes in the interconnection network use electricity. With the advent of optical communication, however, optical transpose interconnection system networks have emerged, which combine the advantages of electronic communication and optical communication. Optical transpose interconnection system networks use electronic communication for relatively short distances and optical communication for long distances. Regardless of whether the interconnection network uses electronic communication or optical communication, network cost is an important factor among the various measures used for the evaluation of networks. In this article, we first propose a novel optical transpose interconnection system–Petersen-star network with a small network cost and analyze its basic topological properties. Optical transpose interconnection system–Petersen-star network is an undirected graph where the factor graph is Petersen-star network. OTIS–PSNn has the number of nodes 102n, degree n+3, and diameter 6n − 1. Second, we compare the network cost between optical transpose interconnection system–Petersen-star network and other optical transpose interconnection system networks. Finally, we propose a routing algorithm with a time complexity of 6n − 1 and a one-to-all broadcasting algorithm with a time complexity of 2n − 1.
  • 关键词:Optical transpose interconnection system;Petersen-star;interconnection network;network cost;graph
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