个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职:计算机科学与技术学院院长
其他任职:计算机学院院长
性别:男
毕业院校:西安电子科技大学
学位:博士
所在单位:计算机科学与技术学院
学科:计算机应用技术
联系方式:E-Mail: zhangq@dlut.edu.cn
电子邮箱:zhangq@dlut.edu.cn
Reliability and Diagnosability Analysis of Hyper Bijective Connection Network
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论文类型:期刊论文
发表时间:2018-01-01
发表刊物:IEEE ACCESS
收录刊物:SCIE
卷号:6
页面范围:60790-60800
ISSN号:2169-3536
关键字:Multiprocessor system; bijective connection networks; interconnection networks; reliability; diagnosability
摘要:Bijective connection (BC) networks, including a family of interconnection networks of multiprocessor systems, have been studied extensively due to its desirable properties, such as lower diameter, high reliability, and diagnosability. To meet the demand of processing integrating tasks with large-scale and complex architectures, it is significant to explore alternative interconnection networks for multiprocessor configuration. To this end, we propose a novel framework called hyper bijective connection network (HBC network) as an extension of BC networks, which allows to study the properties of other potential interconnection networks in unity rather than in individual. We prove that when n >= 3, m >= 2, every n-dimensional HBC network H-n(m) has (edge) connectivity m + n - 2, super connectivity 2n + m - 4, and super edge-connectivity 2n + 2m - 6, and is super-connected and super-edge-connected. These results indicate the high reliability of HBC networks. Moreover, we analyze three classic diagnosabilities of a HBC network, including t(p)-, t(1)/t(1)-, and t/k-diagnosability. We show that when n >= 3 and m >= 2, an n-dimensional HBC network H-n(m) is (m + n - 2)-diagnosable, (2n + m - 4)/(2n + m - 4)-diagnosable, and t(m, n, k)/k-diagnosable, where 0 <= k <= m + n - 2 and t(m, n, k) = (k + 1)n + (m - 2) - ((k + 1)(k + 2)/2) + 1. Besides, it is shown that the corresponding properties for BC networks can be derived naturally as special cases of that for HBC networks.