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This course-tested textbook describes the design and implementation of operating systems, and applies it to the MTX operating system, a Unix-like system designed for Intel x86 based PCs. Written in an evolutional style, theoretical and practical aspects of operating systems are presented as the design and implementation of a complete operating system is demonstrated. Throughout the text, complete source code and working sample systems are used to exhibit the techniques discussed. The book contains many new materials on the design and use of parallel algorithms in SMP. Complete coverage on booting an operating system is included, as well as, extending the process model to implement threads support in the MTX kernel, an init program for system startup and a sh program for executing user commands.

Intended for technically oriented operating systems courses that emphasize both theory and practice, the book is also suitable for self-study.

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Introduction.- Foundations and Background.- Booting Operating Systems.- A Simple Operating System Kernel.- User Mode and System Calls.- Process Synchronization.- Memory Management.- Interrupt Processing and Process Scheduling.- Signals and Signal Processing.- Device Drivers.- File System.- Block Device I/O and Buffer Management.- User Interface.- MTX in 32-bit Protected Mode.- Symmetric Multiprocessing MTX.- Hybrid Operating Systems.

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"It is completely self-contained and is geared toward students for teaching and learning purposes. ... The problems given in the book stand out and make the reader think outside of the box. Code fragments are sprinkled throughout the book, making learning a pleasurable experience. ... In summary, there is a wealth of information in this nicely written book." (Naga Narayanaswamy, Computing Reviews, computingreviews.com, July, 2016)

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K.C. Wang received the BSEE degree from National Taiwan University in 1960 and the Ph.D. degree in Electrical Engineering from Northwestern University, Evanston, Ill in 1965. He is currently a Professor in the School of Electrical Engineering and Computer Science at Washington State University. His academic interests are in Operating Systems, Distributed Systems and Parallel Computing.

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