{"title":"非平稳队列建模的一个简单近似","authors":"Wei-Pang Wang, D. Tipper, S. Banerjee","doi":"10.1109/INFCOM.1996.497901","DOIUrl":null,"url":null,"abstract":"Evaluation of the behavior of queues with nonstationary arrival processes is of importance in several applications including communication networks. However, the analysis of nonstationary queues is in general computationally complex and seldom produces closed form expressions. Thus approximation methods may be more appropriate. The pointwise stationary fluid flow approximation (PSFFA) for determining the mean queue length of nonstationary queues is presented. The PSFFA combines steady state queueing results with a simple fluid flow model to develop a single nonlinear differential equation model of the queue. Numerical integration techniques are used to solve the PSFFA model and the method is illustrated by several examples. The power of this approach is that it can handle very general queueing systems.","PeriodicalId":234566,"journal":{"name":"Proceedings of IEEE INFOCOM '96. Conference on Computer Communications","volume":"65 5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"87","resultStr":"{\"title\":\"A simple approximation for modeling nonstationary queues\",\"authors\":\"Wei-Pang Wang, D. Tipper, S. Banerjee\",\"doi\":\"10.1109/INFCOM.1996.497901\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Evaluation of the behavior of queues with nonstationary arrival processes is of importance in several applications including communication networks. However, the analysis of nonstationary queues is in general computationally complex and seldom produces closed form expressions. Thus approximation methods may be more appropriate. The pointwise stationary fluid flow approximation (PSFFA) for determining the mean queue length of nonstationary queues is presented. The PSFFA combines steady state queueing results with a simple fluid flow model to develop a single nonlinear differential equation model of the queue. Numerical integration techniques are used to solve the PSFFA model and the method is illustrated by several examples. The power of this approach is that it can handle very general queueing systems.\",\"PeriodicalId\":234566,\"journal\":{\"name\":\"Proceedings of IEEE INFOCOM '96. Conference on Computer Communications\",\"volume\":\"65 5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-03-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"87\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE INFOCOM '96. Conference on Computer Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFCOM.1996.497901\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE INFOCOM '96. Conference on Computer Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFCOM.1996.497901","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A simple approximation for modeling nonstationary queues
Evaluation of the behavior of queues with nonstationary arrival processes is of importance in several applications including communication networks. However, the analysis of nonstationary queues is in general computationally complex and seldom produces closed form expressions. Thus approximation methods may be more appropriate. The pointwise stationary fluid flow approximation (PSFFA) for determining the mean queue length of nonstationary queues is presented. The PSFFA combines steady state queueing results with a simple fluid flow model to develop a single nonlinear differential equation model of the queue. Numerical integration techniques are used to solve the PSFFA model and the method is illustrated by several examples. The power of this approach is that it can handle very general queueing systems.