The Effects of Traffic Structure on Application and Network Performance provides the necessary tools for maximizing the network efficiency of any Internet application, and presents ground-breaking research that will influence how these applications are built in the future. The book outlines how to design and run all types of networking experiments, and establishes the best practices in synthetic traffic generation for current and future researchers and practitioners to follow. It addresses some basic concepts and methods of traffic generation, but also details extensive empirical research in testing and evaluating network protocols and applications within a laboratory setting.
The Effects of Traffic Structure on Application and Network Performance is designed as a reference book for networking professionals who must design, plan, test and evaluate their networks. Advanced-level students and researchers in computer science and engineering will find this book valuable as well
The 16 full papers presented in this volume were carefully reviewed and selected from 54 submissions. The contributions are organized in topical sections on measurement tools and methods; mobile and wireless; Web; security; and new protocols.
The 30 full papers presented in this volume were carefully reviewed and selected from 93 submissions. They are organized in topical sections named: security and privacy; mobile and cellular; the last mile; testbeds and frameworks; web; DNS and routing; IXPs and MPLS; and scheduling and timing.
The NS2 modules included within are nodes, links, SimpleLink objects, packets, agents, and applications. Further, the book covers three helper modules: timers, random number generators, and error models. Also included are chapters on summary of debugging, variable and packet tracing, result compilation, and examples for extending NS2. Two appendices provide the details of scripting language Tcl, OTcl and AWK, as well object oriented programming used extensively in NS2.
Introduction to Network Simulator NS2 can be used by researchers, professionals or graduate students studying telecommunication networks.