{"title":"基于征服者流量的排序度量启发式方法将综合生成的流量矩阵分配给拓扑","authors":"S. Zargar, M. Moghaddam","doi":"10.1109/COMSWA.2007.382611","DOIUrl":null,"url":null,"abstract":"In this paper we introduced the synthetically generated traffic assignment problem and we proposed conqueror traffic based ranking metrics heuristic method for solving this problem. We modified previous ranking metrics heuristic method and we tried to assign the synthetically generated traffic to a topology based on traffic type. In our work, transmission control protocol (TCP) and user datagram protocol (UDP), as two major traffic types of today's Internet, are considered to generate special traffic matrices for them. By generating special traffic matrices for each type of traffic, traffic matrices may better describe the network conditions and consider the traffic type constraints. We made a comparison between our proposed algorithm and the two previous algorithms, called Load Minimization Solution (LMS) and ranking metrics heuristic (RMH), using simulation and results are presented. Simulation results indicate that our proposed heuristic method performs better in all cases which conqueror traffic (TCP & UDP) exists and correctly identifies more flow rates than the two other algorithms. Moreover, results show that, it is better to use LMS in the case of no conqueror traffic exists. The total absolute error rates between the amount of originally assigned flow rates and the rates that the RMH, LMS, and our conqueror traffic based RMH are assigned is another comparison we made which, proves that our heuristic method assigns the rates much closer to the original rates.","PeriodicalId":191295,"journal":{"name":"2007 2nd International Conference on Communication Systems Software and Middleware","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-07-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A Conqueror Traffic Based Ranking Metrics Heuristic for Assigning Synthetically Generated Traffic Matrices to a Topology\",\"authors\":\"S. Zargar, M. Moghaddam\",\"doi\":\"10.1109/COMSWA.2007.382611\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper we introduced the synthetically generated traffic assignment problem and we proposed conqueror traffic based ranking metrics heuristic method for solving this problem. We modified previous ranking metrics heuristic method and we tried to assign the synthetically generated traffic to a topology based on traffic type. In our work, transmission control protocol (TCP) and user datagram protocol (UDP), as two major traffic types of today's Internet, are considered to generate special traffic matrices for them. By generating special traffic matrices for each type of traffic, traffic matrices may better describe the network conditions and consider the traffic type constraints. We made a comparison between our proposed algorithm and the two previous algorithms, called Load Minimization Solution (LMS) and ranking metrics heuristic (RMH), using simulation and results are presented. Simulation results indicate that our proposed heuristic method performs better in all cases which conqueror traffic (TCP & UDP) exists and correctly identifies more flow rates than the two other algorithms. Moreover, results show that, it is better to use LMS in the case of no conqueror traffic exists. The total absolute error rates between the amount of originally assigned flow rates and the rates that the RMH, LMS, and our conqueror traffic based RMH are assigned is another comparison we made which, proves that our heuristic method assigns the rates much closer to the original rates.\",\"PeriodicalId\":191295,\"journal\":{\"name\":\"2007 2nd International Conference on Communication Systems Software and Middleware\",\"volume\":\"10 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-07-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 2nd International Conference on Communication Systems Software and Middleware\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/COMSWA.2007.382611\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 2nd International Conference on Communication Systems Software and Middleware","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/COMSWA.2007.382611","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Conqueror Traffic Based Ranking Metrics Heuristic for Assigning Synthetically Generated Traffic Matrices to a Topology
In this paper we introduced the synthetically generated traffic assignment problem and we proposed conqueror traffic based ranking metrics heuristic method for solving this problem. We modified previous ranking metrics heuristic method and we tried to assign the synthetically generated traffic to a topology based on traffic type. In our work, transmission control protocol (TCP) and user datagram protocol (UDP), as two major traffic types of today's Internet, are considered to generate special traffic matrices for them. By generating special traffic matrices for each type of traffic, traffic matrices may better describe the network conditions and consider the traffic type constraints. We made a comparison between our proposed algorithm and the two previous algorithms, called Load Minimization Solution (LMS) and ranking metrics heuristic (RMH), using simulation and results are presented. Simulation results indicate that our proposed heuristic method performs better in all cases which conqueror traffic (TCP & UDP) exists and correctly identifies more flow rates than the two other algorithms. Moreover, results show that, it is better to use LMS in the case of no conqueror traffic exists. The total absolute error rates between the amount of originally assigned flow rates and the rates that the RMH, LMS, and our conqueror traffic based RMH are assigned is another comparison we made which, proves that our heuristic method assigns the rates much closer to the original rates.