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Self-Similar Network Traffic and Performance Evaluation
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Kihong Park, Purdue University, USA and Walter Willinger, AT&T Labs-Research, USA
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0471 31974 0
September 2000
Hardback
576pp
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The emergence of the Internet, Intranets and distributed computing in general has
generated intense interest in the performance of these networks. Over the past five years, researchers have begun
looking at the traffic patterns and bandwidth requirements for networks and discovered that a self-similar, or
fractal pattern exists in the network traffic volume. Self-Similar Network Traffic and Performance Evaluation is a
collected work of the top researchers in the field, who cover all aspects of this topic, from a broad introduction
to the topic to directions for future research.
- Targets a broad audience, useful for wired and wireless network engineers
- Park and Willinger have assembled an authoratative team to deliver this timely volume
Contents:
- 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. Jelenkovic;).
- 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 Multilevel Source Traffic Models with Heavy-Tailed
Distributions (N. Duffield & W. Whitt).
- Congestion Control for Self-Similar Network Traffic (T. Tuan & K. Park).
- Quality of Service Provisioning for Long-Range-Dependent Real-Time Traffic (A. Adas & A. Mukherjhee).
- Toward an Improved Understanding of Network Traffic Dynamics (R. Riedi & W. Willinger).
- Future Directions and Open Problems in Performance Evaluation and Control of Self-Similar Network Traffic
(K. Park).
- Index.
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