{"title":"IP网络上每个用户的请求数和每次请求命中量的流量分析","authors":"S. Haryadi, Marisa Premitasari","doi":"10.1109/TSSA.2014.7065932","DOIUrl":null,"url":null,"abstract":"Packet switching is a switching technique by segmenting the data into packets to be passed in the idle path. This attracted attention for researchers to know how big the queues or congestion that occurs in it and how the shape of the distribution. The results of research on network-based traffic in a switching circuit generates traffic that follows the Poisson process. In the Poisson process, the amount of arrival traffic is distributed Poisson and negative exponentially distributed arrival intervals. The researchers wanted to know whether the new technology, traffic still meets the Poisson distribution or not. From the results obtained that traffic modeling of IP-Based by taking a sample of the number of requests per user and Volume per Request Hits, obtained IDI = 0.30556, which indicates that the traffic is not including the Poisson Distribution. Research with various approaches continuous distribution, the number of request user generates Pareto distributed with X (1:02; 0.5) and the Volume per Request Hits Gaussian distributed with X (6.4).","PeriodicalId":169550,"journal":{"name":"2014 8th International Conference on Telecommunication Systems Services and Applications (TSSA)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Traffic analysis of number of request per user and Volume per Request Hits on IP networks\",\"authors\":\"S. Haryadi, Marisa Premitasari\",\"doi\":\"10.1109/TSSA.2014.7065932\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Packet switching is a switching technique by segmenting the data into packets to be passed in the idle path. This attracted attention for researchers to know how big the queues or congestion that occurs in it and how the shape of the distribution. The results of research on network-based traffic in a switching circuit generates traffic that follows the Poisson process. In the Poisson process, the amount of arrival traffic is distributed Poisson and negative exponentially distributed arrival intervals. The researchers wanted to know whether the new technology, traffic still meets the Poisson distribution or not. From the results obtained that traffic modeling of IP-Based by taking a sample of the number of requests per user and Volume per Request Hits, obtained IDI = 0.30556, which indicates that the traffic is not including the Poisson Distribution. Research with various approaches continuous distribution, the number of request user generates Pareto distributed with X (1:02; 0.5) and the Volume per Request Hits Gaussian distributed with X (6.4).\",\"PeriodicalId\":169550,\"journal\":{\"name\":\"2014 8th International Conference on Telecommunication Systems Services and Applications (TSSA)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 8th International Conference on Telecommunication Systems Services and Applications (TSSA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TSSA.2014.7065932\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 8th International Conference on Telecommunication Systems Services and Applications (TSSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TSSA.2014.7065932","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2
摘要
分组交换是一种通过将数据分割成在空闲路径上传递的数据包的交换技术。这引起了研究人员的注意,他们想知道其中发生的队列或拥堵有多大,以及分布的形状如何。对交换电路中基于网络的流量的研究结果产生了遵循泊松过程的流量。在泊松过程中,到达流量呈泊松分布,到达间隔呈负指数分布。研究人员想知道新技术的流量是否仍然符合泊松分布。从得出的结果来看,基于ip的流量建模通过对每个用户的请求数和每次请求命中量进行采样,得到IDI = 0.30556,这表明流量不包含泊松分布。用各种方法研究连续分布,请求用户生成的帕累托数分布为X (1:02;0.5)和Volume per Request Hits高斯分布与X(6.4)。
Traffic analysis of number of request per user and Volume per Request Hits on IP networks
Packet switching is a switching technique by segmenting the data into packets to be passed in the idle path. This attracted attention for researchers to know how big the queues or congestion that occurs in it and how the shape of the distribution. The results of research on network-based traffic in a switching circuit generates traffic that follows the Poisson process. In the Poisson process, the amount of arrival traffic is distributed Poisson and negative exponentially distributed arrival intervals. The researchers wanted to know whether the new technology, traffic still meets the Poisson distribution or not. From the results obtained that traffic modeling of IP-Based by taking a sample of the number of requests per user and Volume per Request Hits, obtained IDI = 0.30556, which indicates that the traffic is not including the Poisson Distribution. Research with various approaches continuous distribution, the number of request user generates Pareto distributed with X (1:02; 0.5) and the Volume per Request Hits Gaussian distributed with X (6.4).