{"title":"使用关键容量指标预测计算机资源利用率","authors":"David E. Y. Sarna","doi":"10.1109/MARK.1979.8817112","DOIUrl":null,"url":null,"abstract":"The purpose of capacity planning is to determine how much computer power we have overall, how much we are using and, most importantly, how much is left and how much is required. There is some justification for the current interest in capacity planning. We have recently improved our ability to predict the quality of service, i.e. the turnaround time that can be expected from a given configuration when a known workload is imposed. This is a basic activity in capacity planning.","PeriodicalId":341008,"journal":{"name":"1979 International Workshop on Managing Requirements Knowledge (MARK)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1899-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Forecasting computer resource utilization using key volume indicators\",\"authors\":\"David E. Y. Sarna\",\"doi\":\"10.1109/MARK.1979.8817112\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The purpose of capacity planning is to determine how much computer power we have overall, how much we are using and, most importantly, how much is left and how much is required. There is some justification for the current interest in capacity planning. We have recently improved our ability to predict the quality of service, i.e. the turnaround time that can be expected from a given configuration when a known workload is imposed. This is a basic activity in capacity planning.\",\"PeriodicalId\":341008,\"journal\":{\"name\":\"1979 International Workshop on Managing Requirements Knowledge (MARK)\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1899-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1979 International Workshop on Managing Requirements Knowledge (MARK)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MARK.1979.8817112\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1979 International Workshop on Managing Requirements Knowledge (MARK)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MARK.1979.8817112","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Forecasting computer resource utilization using key volume indicators
The purpose of capacity planning is to determine how much computer power we have overall, how much we are using and, most importantly, how much is left and how much is required. There is some justification for the current interest in capacity planning. We have recently improved our ability to predict the quality of service, i.e. the turnaround time that can be expected from a given configuration when a known workload is imposed. This is a basic activity in capacity planning.