FBM model based network-wide performance analysis with service differentiation

Yu Cheng, Weihua Zhuang, Xinhua Ling
2007 The Fourth International Conference on Heterogeneous Networking for Quality, Reliability, Security and Robustness & Workshops - QSHINE '07  
In this paper, we demonstrate that traffic modeling with the fractional Brownian motion (FBM) process is an efficient tool for end-to-end performance analysis over a network provisioning differentiated services (DiffServ). The FBM process is a parsimonious model involving only three parameters to describe the Internet traffic showing the property of selfsimilarity or long-range dependence (LRD). As a foundation for network-wide performance analysis, the FBM modeling can significantly facilitate
more » ... the single-hop performance analysis. While accurate FBM based queueing analysis for an infinite/finite first-in-first-out (FIFO) buffer is available in the existing literature, we develop a generic FBM based analysis for multiclass single-hop analysis where both inter-buffer priority and intra-buffer priority are used for service differentiation. Moreover, we present both theoretical and simulation studies to reveal the preservation of the self-similarity, when the traffic process is multiplexed or randomly split, or goes through a queueing system. It is such self-similar preservation that enables the concatenation of FBM based single-hop analysis into a network-wide performance analysis.
doi:10.1145/1577222.1577237 dblp:conf/qshine/ChengZL07 fatcat:lilwrq3mpvgebdcky76hfyhiy4