http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Performance modeling, loss networks, and statistical multiplexing
This monograph presents a concise mathematical approach for modeling and analyzing the performance of communication networks with the aim of understanding the phenomenon of statistical multiplexing. The novelty of the monograph is the fresh approach and insights provided by a samplepath methodology for queueing models that highlights the important ideas of Palm distributions associated with traffic models and their role in performance measures. Also presented are recent ideas of large buffer, and many sources asymptotics that play an important role in understanding statistical multiplexing. In particular, the important concept of effective bandwidths as mappings from queueing level phenomena to loss network models is clearly presented along with a detailed presentation of loss network models and accurate approximations for large networks.
Preface -- 1. Introduction to traffic models and analysis: 1.1. Introduction; 1.2. Traffic arrival models; 1.3. Residual life and the inspection paradox; 1.4. Event and time averages (EATA); 1.5. Fluid traffic arrival models; Notes and probing further; Book references; Journal articles -- 2. Queues and performance analysis: 2.1. Preliminaries; 2.2. Queueing models; 2.3. Waiting times and workload in queues; 2.4. From means to distributions; 2.5. Fluid queues; Notes and probing further; Book references; Journal articles -- 3. Loss models for networks: 3.1. Introduction; 3.2. Mathematical preliminaries; 3.3. Erlang loss system; 3.4. Multi-rate erlang loss systems; 3.5. The general network case; 3.6. Large loss systems; 3.7. Loss network models inwireless communication networks; 3.8. Some properties of large multi-rate systems; Notes and probing further; Book references; Journal articles -- 4. Statistical multiplexing: 4.1. Performance metrics for quality of service (QoS); 4.2. Multiplexing and effective bandwidths-motivation; 4.3. Multiplexing fluid inputs; 4.4. QoS-packet loss and effective bandwidths; 4.5. Estimating buffer overflow probabilities; 4.6. Effective bandwidths revisited; Notes and probing further; Book references; Journal articles -- A. Rreview of probability and Markov chains -- Bibliography -- Index -- Author's biography.
Includes bibliographical references and index.
Synthesis lectures on communication networks ; #2