{"title":"M / M /1-PS模型中以其他用户数量为条件的逗留时间","authors":"Qiang Zhen, C. Knessl","doi":"10.1093/amrx/abq001","DOIUrl":null,"url":null,"abstract":"We consider the M/M/1 queue with processor sharing. We study the conditional sojourn time distribution of an arriving customer, conditioned on the number of other customers present. A new formula is obtained for the conditional sojourn time distribution, using a discrete Green’s function. This is shown to be equivalent to some classic results of Pollaczek and Vaulot from 1946. Then various asymptotic limits are studied, including large time and/or large number of customers present, and heavy traffic, where the arrival rate is only slightly less than the service rate.","PeriodicalId":89656,"journal":{"name":"Applied mathematics research express : AMRX","volume":"32 1","pages":"142-167"},"PeriodicalIF":0.0000,"publicationDate":"2009-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"On Sojourn Times in the M / M /1-PS Model, Conditioned on the Number of Other Users\",\"authors\":\"Qiang Zhen, C. Knessl\",\"doi\":\"10.1093/amrx/abq001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We consider the M/M/1 queue with processor sharing. We study the conditional sojourn time distribution of an arriving customer, conditioned on the number of other customers present. A new formula is obtained for the conditional sojourn time distribution, using a discrete Green’s function. This is shown to be equivalent to some classic results of Pollaczek and Vaulot from 1946. Then various asymptotic limits are studied, including large time and/or large number of customers present, and heavy traffic, where the arrival rate is only slightly less than the service rate.\",\"PeriodicalId\":89656,\"journal\":{\"name\":\"Applied mathematics research express : AMRX\",\"volume\":\"32 1\",\"pages\":\"142-167\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-02-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Applied mathematics research express : AMRX\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1093/amrx/abq001\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Applied mathematics research express : AMRX","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/amrx/abq001","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On Sojourn Times in the M / M /1-PS Model, Conditioned on the Number of Other Users
We consider the M/M/1 queue with processor sharing. We study the conditional sojourn time distribution of an arriving customer, conditioned on the number of other customers present. A new formula is obtained for the conditional sojourn time distribution, using a discrete Green’s function. This is shown to be equivalent to some classic results of Pollaczek and Vaulot from 1946. Then various asymptotic limits are studied, including large time and/or large number of customers present, and heavy traffic, where the arrival rate is only slightly less than the service rate.