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单圈图生成的凯莱图UG_n在PMC模型和MM~*模型下的1好邻诊断度
引用本文:任佳敏,冯伟,赵凌琪,王世英,吉日木图.单圈图生成的凯莱图UG_n在PMC模型和MM~*模型下的1好邻诊断度[J].运筹学学报,2019,23(1):97-103.
作者姓名:任佳敏  冯伟  赵凌琪  王世英  吉日木图
作者单位:1. 内蒙古民族大学数学学院, 内蒙古通辽 028043; 2. 内蒙古民族大学计算机科学与技术学院, 内蒙古通辽 028043; 3. 河南师范大学数学与信息科学学院, 河南新乡 453007
基金项目:国家自然科学基金(Nos.61262018,61370001,61402317),内蒙古民族大学科学研究项目(No.NMDGP17106)
摘    要:多处理系统的诊断度是一个重要的研究课题.一种新的系统故障诊断方法称为g好邻诊断度,它是限制每个无故障点至少包含g个无故障的邻点.单圈图生成的凯莱图UG_n作为一种极好的互联网络拓扑结构有许多好的性质.现证明了当n≥4时,单圈图生成的凯莱图UG_n在PMC模型下的1好邻诊断度是2n-1;当n≥5时,UG_n在MM~*模型下的1好邻诊断度是2n-1.

关 键 词:互联网络  诊断度  凯莱图  PMC模型  MM*模型  
收稿时间:2017-09-11

The 1-good-neighbor diagnosability of the Cayley graphs UGn generated by unicyclic graphs under the PMC model and the MM* model
REN Jiamin,FENG Wei,ZHAO Lingqi,WANG Shiying,JIRIMUTU.The 1-good-neighbor diagnosability of the Cayley graphs UGn generated by unicyclic graphs under the PMC model and the MM* model[J].OR Transactions,2019,23(1):97-103.
Authors:REN Jiamin  FENG Wei  ZHAO Lingqi  WANG Shiying  JIRIMUTU
Institution:1. College of Mathematics, Inner Mongolia University for Nationalities, Tongliao 028043, Inner Mongolia Autonomous Region, China; 2. College of Computer Science and Technology, Inner Mongolia University for Nationalities, Tongliao 028043, Inner Mongolia Autonomous Region, China; 3. School of Mathematics and Information Science, Henan Normal University, Xinxiang 453007, Henan, China
Abstract:Diagnosability of a multiprocessor system is an important study topic. A new measure for fault diagnosis of the system is called g-good-neighbor diagnosability that restrains every fault-free node containing at least g fault-free neighbors. As a famous topology structure of interconnection networks, the Cayley graph UGn generated by unicyclic graphs has many good properties. In this paper, we prove that the 1-good-neighbor diagnosability of the Cayley graph UGn generated by unicyclic graphs is 2n-1 under the PMC model for n ≥ 4; the 1-good-neighbor diagnosability of the Cayley graph UGn generated by unicyclic graphs is 2n-1 under the MM* model for n ≥ 5.
Keywords:interconnection network  diagnosability  Cayley graph  PMC model  MM* model  
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