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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
|---|---|---|---|---|---|
Searching... | 30000010194336 | TK5105.5 G42 2008 | Open Access Book | Book | Searching... |
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Summary
Summary
The purpose of this book is to give the reader two things, to paraphrase Mark Twain: Roots to know the basics of modeling networks and Wings to fly away and attempt modeling other proposed systems of interest. The Internet phenomenon is affecting us all in the way we communicate, conduct business, and access information and entertainment. More unforeseen applications are still to come. All of this is due to the existence of an efficient global hi- performance network that connects millions of users and moves information at a high rate with small delay. High-Performance Networks A high-performance network is characterized by two performance measures ba- width and delay. Traditional network design focused mainly on bandwidth planning; the solution to network problems was to add more bandwidth. Nowadays, we have to consider message delay particularly for delay-sensitive applications such as voice and real-time video. Both bandwidth and delay contribute to the performance of the network. Bandwidth can be easily increased by compressing the data, by using links with higher speed, or by transmitting several bits in parallel using sophisticated modulation techniques. Delay, however, is not so easily improved. It can only be reduced by the use of good scheduling protocols, very fast hardware and switching equipment throughout the network. The increasing use of optical fibers means that the transmission channel is close to ideal with extremely high bandwidth and low delay(speedoflight). Theareasthatneedoptimizationaretheinterfacesanddevices that connect the different links together such as hubs, switches, routers, and bridges.
Reviews 1
Choice Review
Gebali (Univ. of Victoria, British Columbia) devotes the first half of this book to the relevant mathematics needed for the network analysis he covers in the second half. The first two chapters review the basics of probability theory and random processes. The next four introduce Markov chains, their properties, and state analysis. The final mathematical chapter addresses queuing analysis. Given Gebali's excellent tutorial writing style and extensive use of examples, readers do not need a prior exposure to these topics to grasp this material, although it would be helpful in order to fully appreciate it. Subsequent chapters address modeling traffic flow, error, and medium access control protocols, followed by a chapter on modeling network traffic. The remaining chapters deal with scheduling algorithms, switches, routers, and network interconnection. Six appendixes provide supporting mathematical detail and other related background information. As in the first half of the volume, Gebali features many informative examples and models in the network analysis section of the book. Each of the 16 chapters concludes with an extensive problem set and a list of references. Although primarily designed as a course resource, the monograph will also be useful to practicing engineers. Summing Up: Recommended. Graduate students, researchers, faculty, and professionals. E. M. Aupperle emeritus, University of Michigan
