{"title":"一种具有成本效益的投票系统建模技术","authors":"Peter L. Haigh","doi":"10.5555/800077.802508","DOIUrl":null,"url":null,"abstract":"The run time of a polling system simulation model may be significantly reduced by replacing the polling function with a formula to predict the polling wait time. This eliminates the simulation of polling when there is no information to be transferred. Two models of a multi-station half duplex SDLC network are compared: one which simulates all polling and one which uses the formula. Results indicate that, for systems which operate at less than saturation traffic levels, significant reductions in model run times may be achieved with minimal error in queue statistics.","PeriodicalId":186490,"journal":{"name":"Annual Simulation Symposium","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1981-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A cost effective modeling technique for polling systems\",\"authors\":\"Peter L. Haigh\",\"doi\":\"10.5555/800077.802508\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The run time of a polling system simulation model may be significantly reduced by replacing the polling function with a formula to predict the polling wait time. This eliminates the simulation of polling when there is no information to be transferred. Two models of a multi-station half duplex SDLC network are compared: one which simulates all polling and one which uses the formula. Results indicate that, for systems which operate at less than saturation traffic levels, significant reductions in model run times may be achieved with minimal error in queue statistics.\",\"PeriodicalId\":186490,\"journal\":{\"name\":\"Annual Simulation Symposium\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1981-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annual Simulation Symposium\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5555/800077.802508\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annual Simulation Symposium","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5555/800077.802508","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A cost effective modeling technique for polling systems
The run time of a polling system simulation model may be significantly reduced by replacing the polling function with a formula to predict the polling wait time. This eliminates the simulation of polling when there is no information to be transferred. Two models of a multi-station half duplex SDLC network are compared: one which simulates all polling and one which uses the formula. Results indicate that, for systems which operate at less than saturation traffic levels, significant reductions in model run times may be achieved with minimal error in queue statistics.