A collection of work from top researchers in the field, this book covers all aspects of self-similar network traffic. Readers will gain a better understanding of these networks through a broad introduction to the topic, as well as suggestions for future research.Self-Similar Network Traffic: An Overview (K. Park & W. Willinger).
Wavelets for the Analysis, Estimation, and Synthesis of Scaling Data (P. Abry, et al.).
Simulations with Heavy-Tailed Workloads (M. Crovella & L. Lipsky).
Queueing Behavior Under Fractional Brownian Traffic (I. Norros).
Heavy Load Queueing Analysis with LRD On/Off Sources (F. Brichet, et al.).
The Single Server Queue: Heavy Tails and Heavy Traffic (O. Boxma & J. Cohen).
Fluid Queues, On/Off Processes, and Teletraffic Modeling with Highly Variable and Correlated Inputs (S. Resnick & G. Samorodnitsky).
Bounds on the Buffer Occupancy Probability with Self-Similar Input Traffic (N. Likhanov).
Buffer Asymptotics for M/G/ Input Processes (A. Makowski & M. Parulekar).
Asymptotic Analysis of Queues with Subexponential Arrival Processes (P. Jelenkovi).
Traffic and Queueing from an Unbounded Set of Independent Memoryless On/Off Sources (P. Jacquet).
Long-Range Dependence and Queueing Effects for VBR Video (D. Heyman & T. Lakshman).
Analysis of Transient Loss Performance Impact of Long-Range Dependence in Network Traffic (G.-L. Li & V. Li).
The Protocol Stack and Its Modulating Effect on Self-Similar Traffic (K. Park, et al.).
Characteristics of TCP Connection Arrivals (A. Feldmann).
Engineering for Quality of Service (J. Roberts).
Network Design and Control Using On/Off and MultilevellCĪ