{"title":"存储层次结构的性能评估和预测","authors":"A. Lehmann","doi":"10.1145/800199.806149","DOIUrl":null,"url":null,"abstract":"This paper proposes a modelling methodology combining simulation and analysis for computer performance evaluation and prediction. The methodology is based on a special workload model that is suitable for the generation and description of dynamic program behaviour. A description of this workload model is given in section 2. The applicability of this concept with respect to the design of new storage systems, as well as the improvement or comparison of existing systems, will be described by investigation of the efficiency of small cache memories in section 3.","PeriodicalId":32394,"journal":{"name":"Performance","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"1980-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Performance evaluation and prediction of storage hierarchies\",\"authors\":\"A. Lehmann\",\"doi\":\"10.1145/800199.806149\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a modelling methodology combining simulation and analysis for computer performance evaluation and prediction. The methodology is based on a special workload model that is suitable for the generation and description of dynamic program behaviour. A description of this workload model is given in section 2. The applicability of this concept with respect to the design of new storage systems, as well as the improvement or comparison of existing systems, will be described by investigation of the efficiency of small cache memories in section 3.\",\"PeriodicalId\":32394,\"journal\":{\"name\":\"Performance\",\"volume\":\"1 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1980-05-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Performance\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/800199.806149\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Performance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/800199.806149","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Performance evaluation and prediction of storage hierarchies
This paper proposes a modelling methodology combining simulation and analysis for computer performance evaluation and prediction. The methodology is based on a special workload model that is suitable for the generation and description of dynamic program behaviour. A description of this workload model is given in section 2. The applicability of this concept with respect to the design of new storage systems, as well as the improvement or comparison of existing systems, will be described by investigation of the efficiency of small cache memories in section 3.