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You're reading from  Advanced Python Programming - Second Edition

Product typeBook
Published inMar 2022
PublisherPackt
ISBN-139781801814010
Edition2nd Edition
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Author (1)
Quan Nguyen
Quan Nguyen
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Quan Nguyen

Quan Nguyen is a Python programmer and machine learning enthusiast. He is interested in solving decision-making problems under uncertainty. Quan has authored several books on Python programming and scientific computing. He is currently pursuing a Ph.D. degree in computer science at Washington University in St. Louis, researching Bayesian methods in machine learning.
Read more about Quan Nguyen

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Implementation

Assume that we want to create an OS using a multiserver approach, similar to how it is done in MINIX 3 (j.mp/minix3) or GNU Hurd (j.mp/gnuhurd). A multiserver OS has a minimal kernel, called the microkernel, which runs in privileged mode. All the other services of the system are following a server architecture (driver server, process server, file server, and so forth). Each server belongs to a different memory address space and runs on top of the microkernel in user mode. The pros of this approach are that the OS can become more fault-tolerant, reliable, and secure. For example, since all drivers are running in user mode on a driver server, a bug in a driver cannot crash the whole system, nor can it affect the other servers. The cons of this approach are the performance overhead and the complexity of system programming. These are a result of the communication happening between a server and the microkernel, as well as between the independent servers, using message passing...

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Advanced Python Programming - Second Edition
Published in: Mar 2022Publisher: PacktISBN-13: 9781801814010

Author (1)

author image
Quan Nguyen

Quan Nguyen is a Python programmer and machine learning enthusiast. He is interested in solving decision-making problems under uncertainty. Quan has authored several books on Python programming and scientific computing. He is currently pursuing a Ph.D. degree in computer science at Washington University in St. Louis, researching Bayesian methods in machine learning.
Read more about Quan Nguyen