{"title":"模型检查云绘制系统的QoS评价","authors":"Haoyu Liu, Huahu Xu, Honghao Gao, Danqi Chu","doi":"10.1109/ASAP.2017.7995284","DOIUrl":null,"url":null,"abstract":"This paper briefly introduce a method to evaluate the reliability of a cloud rendering system by using probability models. An extended discrete-time Markov chain (DTMC) is proposed considering the QoS (Quality of Service). Then, some properties defined from 3 aspects give full consideration to the processes of rendering tasks, which can be verified by performing PRISM in a quantitative way. Finally, the experimental results demonstrate that our method can ensure and improve the QoS reliability of the cloud rendering system.","PeriodicalId":405953,"journal":{"name":"2017 IEEE 28th International Conference on Application-specific Systems, Architectures and Processors (ASAP)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Model checking cloud rendering system for the QoS evaluation\",\"authors\":\"Haoyu Liu, Huahu Xu, Honghao Gao, Danqi Chu\",\"doi\":\"10.1109/ASAP.2017.7995284\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper briefly introduce a method to evaluate the reliability of a cloud rendering system by using probability models. An extended discrete-time Markov chain (DTMC) is proposed considering the QoS (Quality of Service). Then, some properties defined from 3 aspects give full consideration to the processes of rendering tasks, which can be verified by performing PRISM in a quantitative way. Finally, the experimental results demonstrate that our method can ensure and improve the QoS reliability of the cloud rendering system.\",\"PeriodicalId\":405953,\"journal\":{\"name\":\"2017 IEEE 28th International Conference on Application-specific Systems, Architectures and Processors (ASAP)\",\"volume\":\"23 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 28th International Conference on Application-specific Systems, Architectures and Processors (ASAP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ASAP.2017.7995284\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 28th International Conference on Application-specific Systems, Architectures and Processors (ASAP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ASAP.2017.7995284","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Model checking cloud rendering system for the QoS evaluation
This paper briefly introduce a method to evaluate the reliability of a cloud rendering system by using probability models. An extended discrete-time Markov chain (DTMC) is proposed considering the QoS (Quality of Service). Then, some properties defined from 3 aspects give full consideration to the processes of rendering tasks, which can be verified by performing PRISM in a quantitative way. Finally, the experimental results demonstrate that our method can ensure and improve the QoS reliability of the cloud rendering system.