Data NetworksBased on an extremely popular short course conducted by the authors for several Fortune 500 companies, this volume is designed to help professionals develop a deeper understanding of data networks and evolving integrated networks, and to explore today's various analysis and design tools. KEY TOPICS: It begins with an overview of the principles behind data networks, then develops an understanding of the modeling issues and mathematical analysis needed to compare the effectiveness of different networks. An ideal reference for Communication, Network, and Research and Development Engineers. |
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algorithm approach arrival arrival rate assume assumption average backlog called channel characters circuit collision communication Consider contains corresponding customers delay departure destination detected direction discussed distribution effect equal equations errors example expected Figure Finally flag flow frame frequency function given header higher idle increases independent initial interval layer length less limit maximum mean module node Note obtain occur operation original packet path Poisson possible priority probability problem protocol queue reason received reservation result reverse routing sent sequence session shortest Show shown signal simply single slot standard starts station stream string subnet successful Theorem throughput token traffic transmission transmitted typically unit virtual waiting