TCP/IP Sockets in C: Practical Guide for Programmers

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· Elsevier
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この電子書籍について

For example code from the text, Winsock adaptations of text code, sample programming exercises and more,click on the grey "COMPANION SITE" button to the right.

Note: This title was formerly known as Pocket Guide to TCP/IP Socket Programming in C, ISBN 1-55860-686-6.TCP/IP Sockets in C: Practical Guide for Programmers is a quick and affordable way to gain the knowledge and skills you need to develop sophisticated and powerful networked-based programs using sockets. Written by two experienced networking instructors, this book provides a series of examples that demonstrate basic sockets techniques for clients and servers.

Using plenty of real-world examples, this book is a complete beginner's guide to socket programming and a springboard to more advanced networking topics, including multimedia protocols.

*Concise, no-nonsense explanations of issues often troublesome for beginners, including message construction and parsing. *Comprehensive example-based coverage of the most important TCP/IP techniques-including iterative and concurrent servers, timeouts, and asynchronous message processing. *Includes a detailed, easy-to-use reference to the system calls and auxiliary routines that comprise the sockets interface. *A companion Web site provides source code for all example programs in both C and WinSock versions, as well as guidance on running the code on various platforms.

著者について

Michael J. Donahoo teaches networking to undergraduate and graduate students at Baylor University, where he is an assistant professor. He received his Ph.D. in computer science from the Georgia Institute of Technology. His research interests are in large-scale information dissemination and management.

Kenneth L. Calvert is an associate professor at University of Kentucky, where he teaches and does research on the design and implementation of computer network protocols. He has been doing networking research since 1987, and teaching since 1991. He holds degrees from MIT, Stanford, and the University of Texas at Austin.

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