CS380L: Advanced Operating Systems

Emmett Witchel

Class Abstract

Students will study advanced operating system topics and be exposed to recent developments in operating systems research. This course involves readings and lectures on classic and new papers. Topics: operating system design, virtual memory management, virtual machines,  OS interaction with the hardware architecture, synchronization and communication, file systems, protection, and security.

Admin

Class times

MW 2:00-3:30 CBA 4.326

Instructor

Emmett Witchel
Office: ACES 6.240
Telephone: 232-7889
E-mail: witchel - at - cs.utexas.edu
Office hours: M 3:30-4:30pm or by appointment.

Teaching Assistant

E-mail: 
Office hours: 

Webpage

Assignments, announcements, and schedules will appear on either the web page, or I might email.
http://www.cs.utexas.edu/~witchel/380L

Useful links

Prerequisites

The prerequisite for this class is CS372 or the equivalent. It is necessary to have this background before taking the class, as we'll read a lot papers quickly without much time for catching up on the basics. The course assumes an understanding of topics in operating systems such as synchronization, virtual memory management, scheduling, and file systems.

Course Organization and Workload

The course consists of readings, homeworks, discussion, in-class presentation, two exams, and an independent research project (and possibly pop quizzes).  The two most important things to know about the class: (1) the main goal is to have interesting in-class discussions and (2) we recommend you read each paper at least twice, preferably more than a day in advance so that it sinks in.

Grading Policy

20-25% of your grade will come from class participation, in-class quizzes, your presentation and homeworks
40-50% of your grade will come from two in-class exams
25-35% of your grade will be based on your project

These figures are approximate.

Reading and discussion

Most of the work in this course consists of reading journal and conference papers. Most of  the papers we read will be good, and all are influential. We will cover one to two papers at each class meeting. This class will be primarily discussion based. Active discussion will (hopefully) give you a non-trivial understanding of the material.

This class is larger than ideal for a discussion-based class. I believe we can overcome this hurdle if everyone comes to class well prepared to participate in (or lead) discussions. If you skim papers and space out during discussion, you are doing your colleagues a disservice by lowering the level of discussion. The other problem, of course, is that individually you will learn much less if you follow that approach. The assignments and grading, therefore, are focused on creating an atmosphere where everyone comes to class well prepared for discussion.

Class time will not be used to rehash the material in the papers. Instead, it will be used to highlight the important points and discuss some of the more interesting features. There will be as much as 10-15 hours of reading per week. Do not take this course unless you are willing and able to do a lot of reading.

Paper critiques. We will read about 28 "core technical" papers in class (plus a number of "background" and "professional development" papers.) For each of the core technical papers, you will prepare a (approximately) 1-page written critique (here is a template). This critique must be typeset (no handwritten critiques will be accepted) and must be turned in before the start of the class that discusses the paper. You may skip up to 4 critiques with no grading penalty. Details of what we expect in a critique will be covered in a handout.

Class participation. The class will provide ample opportunity to get involved in the discussions, and if you do not regularly participate in discussions, you will not get as much out of the class as you could. Your class participation will be based on three factors: (1) the TA and instructor's assessment of whether you were regularly involved in the discussions over the course of the semester, (2) turning in acceptable critiques as described above, (3)  the in-class presentation of at least one paper (4) there might be several pop quizzes on the reading assignments over the course of the semester. If you turn in a critique (e.g., claim to have read and understood the paper) but your quiz indicates that you don't understand the paper, we will lower your class participation grade. (Note that if you don't turn in a critique for a class, you are "exempt" from taking a quiz for that class.)

Readings. There is no textbook for this course. The course is based on a collection of journal and conference papers that describe the history and state of the art in operating systems. The preliminary list of papers and schedule is available on-line. If you are interested, more papers on these topics are available from this  reading list ; we will cover a subset of these papers, and we will cover topics roughly in the order listed there. You must read the papers before class. At a minimum we recommend two close readings. We will provide most papers online; those that are only available in hardcopy will be provided about a week before they are needed.

Written homeworks. We may assign additional written homeworks that cover basic experimental skills useful for studying operating systems (cache simulation, network simulation, and simple statistics and data analysis). Unless otherwise noted, the homeworks will be done individually.

Exams

To test your understanding of the material, there will be two midterm exams. I plan to conduct them in class, but I may change one or both to be take-home exams.

Special offer: you can write your own exam questions! Submit a question with your solution in advance of the exam, and if we like it, it will appear on the exam.

Programming assignments

This course requires several programming assignments that will give you experience in building, booting and running an operating system.  The assignments will also expose you to methodological systems issues such as how to model, measure and report performance, how to design a workload to test kernel functionality, and the dependence on workload for the evaluation of a system feature.  Finally the assignments will expose you to how to write about systems, their design, implementation, and measurement.

These assignments should demystify the operating system, convincing you that the OS really is just a program.  Sometimes puzzling system behavior can be understood and worked around by reading and understanding the source code of the OS.  Why did mmap return ENOMEM?  There are several distinct possibilities that you can see in the code.  These assignments might even give you a bit of practical knowledge, for example allowing you to get Linux to recognize your fancy, new USB device. 

Collaboration

I strongly encourage you to discuss the papers and the homeworks with anyone you can. That's the way good science happens. As a professional, you should acknowledge significant contributions or collaborations in your written or spoken presentations.

The paper critiques should reflect your understanding of the paper. It is not acceptable to turn in a summary if you have not made an honest effort to read the paper. If you don't have time to read a paper before a class, make use of one of your skip credits. Never read another student's summary before you have turned in your own.

Unless otherwise stated, the homeworks and programming assignments must be done individually. You may orally discuss the homeworks with anyone, but you may not look at anyone else's code and you may not allow anyone else to look at your code.

Exams are to be done individually. They may only be discussed with the instructor and TA.

Intellectual dishonesty can end your career, and it is your responsibility to stay on the right side of the line. If you are not sure about something, ask. 

Other issues

Please read the department's code of conduct.

Course Themes

Reading and writing
 The course should teach you how to read and write about computer science research specifically, and scientific/engineering issues generally.
Experimental methodology
The course should teach you how to understand an evalutate a computer system.
System building experience
The course's programming assignments should expose you to the OS and its programming environment.