{"title":"具有兼容性的损失系统的不敏感性","authors":"Runhan Xie, Kristen Gardner, Rhonda Righter","doi":"10.1145/3626570.3626576","DOIUrl":null,"url":null,"abstract":"In the study of queueing systems, we are often interested in finding the stationary distribution of the system state, which in turn can be used to compute various performance measures of interest. Under the assumption that the arrival process is Poisson and the service time distribution is exponential, many queueing systems have elegant productform stationary distributions. However, the exponentiality assumption is often unrealistic. Although relaxing this assumption typically makes the analysis of the stationary distribution less tractable, a number of queueing systems are insensitive to the service time distribution, meaning that they have the same stationary distribution under all service time distributions. Below we describe several examples.","PeriodicalId":35745,"journal":{"name":"Performance Evaluation Review","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Insensitivity for Loss Systems with Compatibilities\",\"authors\":\"Runhan Xie, Kristen Gardner, Rhonda Righter\",\"doi\":\"10.1145/3626570.3626576\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the study of queueing systems, we are often interested in finding the stationary distribution of the system state, which in turn can be used to compute various performance measures of interest. Under the assumption that the arrival process is Poisson and the service time distribution is exponential, many queueing systems have elegant productform stationary distributions. However, the exponentiality assumption is often unrealistic. Although relaxing this assumption typically makes the analysis of the stationary distribution less tractable, a number of queueing systems are insensitive to the service time distribution, meaning that they have the same stationary distribution under all service time distributions. Below we describe several examples.\",\"PeriodicalId\":35745,\"journal\":{\"name\":\"Performance Evaluation Review\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-09-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Performance Evaluation Review\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3626570.3626576\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Computer Science\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Performance Evaluation Review","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3626570.3626576","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Computer Science","Score":null,"Total":0}
Insensitivity for Loss Systems with Compatibilities
In the study of queueing systems, we are often interested in finding the stationary distribution of the system state, which in turn can be used to compute various performance measures of interest. Under the assumption that the arrival process is Poisson and the service time distribution is exponential, many queueing systems have elegant productform stationary distributions. However, the exponentiality assumption is often unrealistic. Although relaxing this assumption typically makes the analysis of the stationary distribution less tractable, a number of queueing systems are insensitive to the service time distribution, meaning that they have the same stationary distribution under all service time distributions. Below we describe several examples.