{"title":"不同子系统配置的大型并行通信网络可靠性的近似分析","authors":"E. Kalimulina","doi":"10.1109/SIBCON.2009.5044828","DOIUrl":null,"url":null,"abstract":"This paper presents the new effective method of evaluating the reliability of large parallel repairable systems. The system consists of elements with different characteristics of reliability. It is assumed that the recovery time of elements is generally distributed. The represented result was obtained by analytical method with the using of semi-Markov model of reliability. The application of analytical result obtained here for reliability estimation is more effective than Monte-Carlo simulation.","PeriodicalId":164545,"journal":{"name":"2009 International Siberian Conference on Control and Communications","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"The approximate analysis of reliability of large-scale parallel communication networks with various subsystem configuration\",\"authors\":\"E. Kalimulina\",\"doi\":\"10.1109/SIBCON.2009.5044828\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the new effective method of evaluating the reliability of large parallel repairable systems. The system consists of elements with different characteristics of reliability. It is assumed that the recovery time of elements is generally distributed. The represented result was obtained by analytical method with the using of semi-Markov model of reliability. The application of analytical result obtained here for reliability estimation is more effective than Monte-Carlo simulation.\",\"PeriodicalId\":164545,\"journal\":{\"name\":\"2009 International Siberian Conference on Control and Communications\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-03-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 International Siberian Conference on Control and Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SIBCON.2009.5044828\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Siberian Conference on Control and Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SIBCON.2009.5044828","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The approximate analysis of reliability of large-scale parallel communication networks with various subsystem configuration
This paper presents the new effective method of evaluating the reliability of large parallel repairable systems. The system consists of elements with different characteristics of reliability. It is assumed that the recovery time of elements is generally distributed. The represented result was obtained by analytical method with the using of semi-Markov model of reliability. The application of analytical result obtained here for reliability estimation is more effective than Monte-Carlo simulation.
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