In designing a network device, you make dozens of decisions that affect the speed with which it will perform--sometimes for better, but sometimes for worse. Network Algorithmics provides a complete, coherent methodology for maximizing speed while meeting your other design goals.
Author George Varghese begins by laying out the implementation bottlenecks that are most often encountered at four disparate levels of implementation: protocol, OS, hardware, and architecture. He then derives 15 solid principles--ranging from the commonly recognized to the groundbreaking--that are key to breaking these bottlenecks.
The rest of the book is devoted to a systematic application of these principles to bottlenecks found specifically in endnodes, interconnect devices, and specialty functions such as security and measurement that can be located anywhere along the network. This immensely practical, clearly presented information will benefit anyone involved with network implementation, as well as students who have made this work their goal.
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George Varghese is a widely recognized authority on the art of network protocol implementation. Currently he holds the Jonathan B. Postel Chair of Networking at the University of California, Los Angeles. Earlier he was a Partner at Microsoft Research, and served as a professor in the departments of Computer Science at UC-San Diego and Washington University. He was elected to American Academy of Arts and Sciences in 2022, to the Internet Hall of Fame in 2021, to the National Academy of Inventors in 2020, to the National Academy of Engineering in 2017, and as a Fellow of the ACM in 2002. He co-founded a startup called NetSift in 2004 that was acquired by Cisco in 2005. With colleagues, he holds 26 patents in the general field of network algorithmics. Several algorithms that he helped develop have found their way into commercial systems, including Linux (timing wheels), the Cisco GSR (DRR), and MS Windows (IP lookups). Varghese has written more than 100 papers on networking, computer architecture, genomics, and databases.
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