{"title":"非先进先出调度的马尔可夫自相似流量源加速仿真方法","authors":"J. Schormans","doi":"10.5013/ijssst.a.22.03.06","DOIUrl":null,"url":null,"abstract":"An efficient accelerated simulation method is essential to obtain fast and accurate results when dealing with self-similar and long range dependent (LRD) traffic sources. In this paper we describe an approach that involves short range dependent (SRD) and LRD traffic sources. The results show accuracy in the approach describe and the original packet-by-packet version. Also, the real time and number of events can be reduced using this method.","PeriodicalId":261136,"journal":{"name":"International journal of simulation: systems, science & technology","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Accelerated Simulation Method Involving Markovian and Self-Similar Traffic Sources with Non-Fifo Scheduler\",\"authors\":\"J. Schormans\",\"doi\":\"10.5013/ijssst.a.22.03.06\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"An efficient accelerated simulation method is essential to obtain fast and accurate results when dealing with self-similar and long range dependent (LRD) traffic sources. In this paper we describe an approach that involves short range dependent (SRD) and LRD traffic sources. The results show accuracy in the approach describe and the original packet-by-packet version. Also, the real time and number of events can be reduced using this method.\",\"PeriodicalId\":261136,\"journal\":{\"name\":\"International journal of simulation: systems, science & technology\",\"volume\":\"3 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of simulation: systems, science & technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5013/ijssst.a.22.03.06\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of simulation: systems, science & technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5013/ijssst.a.22.03.06","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Accelerated Simulation Method Involving Markovian and Self-Similar Traffic Sources with Non-Fifo Scheduler
An efficient accelerated simulation method is essential to obtain fast and accurate results when dealing with self-similar and long range dependent (LRD) traffic sources. In this paper we describe an approach that involves short range dependent (SRD) and LRD traffic sources. The results show accuracy in the approach describe and the original packet-by-packet version. Also, the real time and number of events can be reduced using this method.