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FBM model based network-wide performance analysis with service differentiation
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
doi:10.1145/1577222.1577237
dblp:conf/qshine/ChengZL07
fatcat:lilwrq3mpvgebdcky76hfyhiy4