Study of Delay and Loss Behavior of Internet Switch-Markovian Modelling Using Circulant Markov Modulated Poisson Process (CMMPP)

• 作者: Malla Reddy Perati Rajaiah Dasari Ramesh Renikunta Ranadheer Donthi
• 来源期刊: 应用数学(英文)
• 学科: 数学
• 关键词: CMMPP SELF-SIMILAR TRAFFIC Mean WAITING Time Packet LOSS Probability TRAFFIC Intensity Hurst Parameter TIME-SCALE
• 年，卷（期）: 2014,（3）
• 页码范围: 512-519
• 页数: 8页
• 分类号: O1

摘要

Most of the classical self-similar traffic models are asymptotic in nature. Therefore, it is crucial for an appropriate buffer design of a switch and queuing based performance evaluation. In this paper, we investigate delay and loss behavior of the switch under self-similar fixed length packet traffic by modeling it as CMMPP/D/1 and CMMPP/D/1/K, respectively, where Circulant Markov Modulated Poisson Process (CMMPP) is fitted by equating the variance of CMMPP and that of self-similar traffic. CMMPP model is already the validated one to emulate the self-similar characteristics. We compare the analytical results with the simulation ones.