Operating System Design: The Xinu Approach,Second Edition
Authors: Douglas Comer
ISBN-10: 1498712436
ISBN-13: 9781498712439
Edition 版次: 2
Publication Date 出版日期: 2015-02-18
Print Length 页数: 701 pages
An Update of the Most Practical A-to-Z Operating System Book
Widely lauded for avoiding the typical black box approach found in other operating system textbooks,the first edition of this bestselling book taught readers how an operating system works and explained how to build it from the ground up.
Continuing to follow a logical pattern for system design,Operating System Design: The Xinu Approach,Second Edition removes the mystery from operating system design and consolidates the body of material into a systematic discipline. It presents a hierarchical design paradigm that organizes major operating system components in an orderly,understandable manner.
The book guides readers through the construction of a conventional process-based operating system using practical,straightforward primitives. It gives the implementation details of one set of primitives,usually the most popular set. Once readers understand how primitives can be implemented on conventional hardware,they can then easily implement alternative versions.
The text begins with a bare machine and proceeds step-by-step through the design and implementation of Xinu,which is a small,elegant operating system that supports dynamic process creation,dynamic memory allocation,network communication,local and remote file systems,a shell,and device-independent I/O functions. The Xinu code runs on many hardware platforms. This second edition has been completely rewritten to contrast operating systems for RISC and CISC processors. Encouraging hands-on experimentation,the book provides updated code throughout and examples for two low-cost experimenter boards: BeagleBone Black from ARM and Galileo from Intel
.
Operating System Design: The Xinu Approach,2nd Edition
相关推荐
- Creating Images Using AI: A Step-by-Step Guide to Midjourney
- Key enabling technologies for future wireless, wired, optical and satcom applications
- ScyllaDB in Action
- Building Computer Vision Projects with OpenCV 4 and C++: Implement complex computer vision algorithms and explore deep learning and face detection
- Data Structures and Algorithms in Python
- Team Intelligence: A New Method Using Swarm Intelligence for Building Successful Teams