{"title":"虚拟化平台恢复方案的含义","authors":"Guanhua Tian, Dan Meng","doi":"10.1109/ICPPW.2011.9","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a general simulation platform integrated with a general failure model framework. Based on our simulation platform, we investigate the implications of system failures on virtualization platform. Meanwhile, we investigate the capability of virtualization platform's recovery mechanism, both reactive and proactive ones. In fact, we find that proactive recovery, in terms of both performance and resource debts, outperforms reactive ones. It has the potential to extract the most of performance gap between system with failures and one without. Furthermore, as proactive recovery depends on the results of system status predictor, we investigate the impacts of predictor's attributes and find that predictor's 'False Negative' attribute is most important for exploiting the proactive recovery mechanism's capability.","PeriodicalId":173271,"journal":{"name":"2011 40th International Conference on Parallel Processing Workshops","volume":"205 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Implications of Recovery Schemes for Virtualization Platform\",\"authors\":\"Guanhua Tian, Dan Meng\",\"doi\":\"10.1109/ICPPW.2011.9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, we propose a general simulation platform integrated with a general failure model framework. Based on our simulation platform, we investigate the implications of system failures on virtualization platform. Meanwhile, we investigate the capability of virtualization platform's recovery mechanism, both reactive and proactive ones. In fact, we find that proactive recovery, in terms of both performance and resource debts, outperforms reactive ones. It has the potential to extract the most of performance gap between system with failures and one without. Furthermore, as proactive recovery depends on the results of system status predictor, we investigate the impacts of predictor's attributes and find that predictor's 'False Negative' attribute is most important for exploiting the proactive recovery mechanism's capability.\",\"PeriodicalId\":173271,\"journal\":{\"name\":\"2011 40th International Conference on Parallel Processing Workshops\",\"volume\":\"205 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2011-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2011 40th International Conference on Parallel Processing Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICPPW.2011.9\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 40th International Conference on Parallel Processing Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPPW.2011.9","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Implications of Recovery Schemes for Virtualization Platform
In this paper, we propose a general simulation platform integrated with a general failure model framework. Based on our simulation platform, we investigate the implications of system failures on virtualization platform. Meanwhile, we investigate the capability of virtualization platform's recovery mechanism, both reactive and proactive ones. In fact, we find that proactive recovery, in terms of both performance and resource debts, outperforms reactive ones. It has the potential to extract the most of performance gap between system with failures and one without. Furthermore, as proactive recovery depends on the results of system status predictor, we investigate the impacts of predictor's attributes and find that predictor's 'False Negative' attribute is most important for exploiting the proactive recovery mechanism's capability.