{"title":"多样性作为故障检测方法和提高可靠性的工具","authors":"George Popov, H. Hristov","doi":"10.1109/CREBUS.2019.8840053","DOIUrl":null,"url":null,"abstract":"Diversity is a known approach for increasing reliability of computer systems. The goal of this work is to present quantitative criteria for the measure of diversity in non-recovery computer systems. For this purpose, the model of the diversity-based system with two failure types: detectable and undetectable is presented and a formula to calculate it is proposed.","PeriodicalId":337771,"journal":{"name":"2019 International Conference on Creative Business for Smart and Sustainable Growth (CREBUS)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Diversity as Method for Failure Detection and Tool for Increase Reliability\",\"authors\":\"George Popov, H. Hristov\",\"doi\":\"10.1109/CREBUS.2019.8840053\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Diversity is a known approach for increasing reliability of computer systems. The goal of this work is to present quantitative criteria for the measure of diversity in non-recovery computer systems. For this purpose, the model of the diversity-based system with two failure types: detectable and undetectable is presented and a formula to calculate it is proposed.\",\"PeriodicalId\":337771,\"journal\":{\"name\":\"2019 International Conference on Creative Business for Smart and Sustainable Growth (CREBUS)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Creative Business for Smart and Sustainable Growth (CREBUS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CREBUS.2019.8840053\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Creative Business for Smart and Sustainable Growth (CREBUS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CREBUS.2019.8840053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Diversity as Method for Failure Detection and Tool for Increase Reliability
Diversity is a known approach for increasing reliability of computer systems. The goal of this work is to present quantitative criteria for the measure of diversity in non-recovery computer systems. For this purpose, the model of the diversity-based system with two failure types: detectable and undetectable is presented and a formula to calculate it is proposed.