报告人：周书明 （福建师范大学 教授）
报告时间：2023年6月2日(周五)下午16:00
报告地点：章辉楼442
联系人：徐丽琼
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报告摘要：With the emergence of the Big Data era, as multiprocessor systems consisting of multiple processors play a vital role in big data analytics, we are prompted to explore the qualitative and quantitative metric to characterize the reliability of the systems. The performability of such multiprocessor systems rely heavily on the underlying architecture connecting the processors. This topic conducts a survey of progress on the investigation of topological robustness on the multiprocessor system. In detail,wewill explore the reliability of subsystem under macro-scale through combinatorial probabilistic model and present a practical analytical method to compute the mean time to failure (MTTF) for subsystem through stochastic process along with some empirical analysis. Inaddition, we focus on the comparison of two distinct topologies of k-ary n-cube networks with the same order and calculate the robustness of reliability bounds of k-ary n-cube networks.
报告人简介：周书明，福建师范大学教授、博士生导师、网络空间安全一级学科博士点学科方向负责人之一、国际期刊International Journal of Computer Mathematics：Computer Systems Theory编辑、中国计算机学会容错计算专委。现为福建省网络安全与密码技术重点实验室主要成员、福建省教育厅科技创新团队（异构网络安全通信技术研究）、校创新团队（网络与信息安全关键理论和技术）主要成员。主要从事图论与网络优化、故障诊断及检测、容错计算及基于复杂网络和社交网络的大数据分析等方面的研究。相关研究成果先后发表于IEEE TC、IEEE TPDS、IEEE TR、Information Sciences、Theoretical Computer Science、Discrete Applied Mathematics等国际期刊，其中SCI收录60余篇，其中IEEE汇刊10篇。近5年主持国家自然科学基金面上项目2项。
