CS 354: Operating Systems (3 credit hours)

Course Information for Spring 2024

Instructor: Dongyan Xu (LWSN 1173, dxu@purdue.edu, office hours: Monday 11am-12pm or by appointment)

Teaching Assistants (with office hours): Pratyush Das (das160@purdue.edu) - Wednesday 5:30-6:30pm, HAAS 143, Haotian Deng (deng254@purdue.edu) - Fridays 9:30-10:30 am, HAAS 257, Haasith Guduru (ghaasith@purdue.edu) - Wednesday 12:30-1:30 pm, HAAS 143, Tarindu Jayatilaka (ajayati@purdue.edu) - Friday 10.30-11.30 am, HAAS G072, Hyunchai Jeong (jeong3@purdue.edu) - Friday 1:30-2:30 pm, HAAS 143, Hari Prasad Kalluri (hkalluri@purdue.edu) - Thursday 5:30 pm-6:30 pm, HAAS G072, Sean Lee (lee3966@purdue.edu)

Web page: http://www.cs.purdue.edu/homes/cs354

Ed Stem: We will be using Ed Stem for posting announcements, lecture notes, and lab assignments and for online discussions on labs and exams. Please join the portal at:https://edstem.org/us/join/Pf46he

Class meeting place/time: Lectures will be in University Church 114, Tuesday and Thursday (1:30pm-2:45pm). Nine PSO sessions (50 minutes each) will be offered throughout each week in HAAS 257.

Prerequisites: CS251, CS252, and fluency in C.

Textbook and Course Contents: Operating System Design ??? The XINU Approach, Douglas Comer, 2nd edition (required)

This is an undergraduate introductory course to operating systems that investigates how modern operating systems are architected and implemented. Extensive implementation experience is gained by coding, testing, and benchmarking key components of the XINU operating system on dedicated backend hardware. Our main implementation platform will be x86 backend machines and Intel x86 frontend PCs where code is developed. Most coding is done in C, with some hardware dependent components utilizing assembly language.

The topics covered in the course include: evolution of computing systems and their operating systems, process management, inter-process communication, memory management, virtual memory, I/O subsystems and device management, file systems, virtualization and security, and mobile operating systems. In addition to implementing key OS features in XINU, we will examine case studies in commodity operating systems that differ from XINU in significant ways. Upon successful completion of the course, you will understand how modern operating systems are designed and implemented. You will understand how operating systems interface with hardware and applications. You will have gained the technical skills to program operating systems and evaluate their performance.

Exams: There will be one midterm and one final exam. The midterm will take place on the evening of Wednesday, March 20, 2024 (8:00 pm -9:30 pm , LILY 1105). The midterm will cover materials until (and including) the lecture before the Spring Break. The final exam will take place on the morning of Friday, May 3, 2024 (8:00am-10:00am, LILY 1105) and the exam will cover materials presented in the entire semester. Requests for a conflict midterm or final exam should be made to the instructor in writing by February 28, 2024. Except for medical emergencies, no further requests will be granted after that time.

Grading: Lab assignments: 45%, midterm: 25%, final: 30%. Lab assignments will have opportunities to earn bonus points. These points serve to more easily reach the maximum achievable points in the lab assignment component. The points do not carry over and are capped at 45%. The course grade is not curved. Approximately, a total weighted score no lower than mid-80s maps to an A-range grade (includes +/- grades), 70s to mid-80s for B-range, 60s to low-70s for C-range. Below that D, F, etc.

XINU Lab: We will use the XINU operating system for the lab assignments. The XINU lab is located in the HAAS Building, room 257. The lab is comprised of frontend machines xinu01.cs.purdue.edu, xinu02.cs.purdue.edu, ???, xinu21.cs.purdue.edu which are Linux PCs. You will use the frontend machines for operating system code development (coding and compiling/linking) and to access one of the backend machines galileo101.cs.purdue.edu, galileo102.cs.purdue.edu, ???, galileo196.cs.purdue.edu.

The frontend machines can be remotely accessed via TLS/SSL applications such as ssh on Linux/MacOS and PuTTY on Windows. Please note that CS has recently moved to two-factor authentication when using ssh. The frontend machines can be used by multiple users concurrently to develop and test code. The backend machines are x86 Intel Galileo boards equipped with Quark X1000 processors that are dedicated to running your implementation of XINU. Thus you are loading/running your own OS binary developed on the frontends on dedicated backend hardware. The specifics of developing and testing code in the XINU Lab will be covered in lab1.

Getting Your CS Account: Students registered in the course should have an account automatically set up. Please check by going to HAAS 257 or remote accessing one of the frontend lab machines. If you have registered but don???t have an account, please contact ScienceHelp@purdue.edu.

Late Policy: To help manage unexpected scheduling demands, you are given a budget of 4 late days in total that may be used for late submissions of lab assignments. For example, you may submit 1 day late on four lab assignments, or 4 days late on one lab assignment. Any combination is valid as long as the total days delayed does not exceed 4. There will be a total of 5 lab assignments. Outside of the 4 late days, all deadlines are hard and no partial credit will be given.

Due to the low-level systems nature of the lab assignments, coding and evaluating parts of an operating system running on hardware is time intensive. To encourage proactive tackling of assignments, all submissions turned in 2 days prior to its deadline will be given a 5% bonus credit (as a fraction of the points received).

Academic Integrity: We aim to foster an open and collegial class environment. At the same time, we are vigorously opposed to academic dishonesty because it seriously detracts from the education of honest students. Because of this, we have the following standard policy on academic integrity, consistent with Purdue University???s official policy.

All CS 354 assignments are individual efforts and collaboration of any form is not allowed. This includes discussing design and implementation details and sharing of code. Utilizing others??? code found on the Internet is not allowed. Utilizing code generated by AI tools such as ChatGPT is not allowed. If you have a question or are unsure, please contact the instructor.

Students who share their work with others are as responsible for academic dishonesty as the student benefiting from the material. Students are not to show work to other students, and are responsible for the security of their work. File/directory permissions must be set to be unreadable to others (e.g.??use ???chmod -R 700 *??? from your home directory). The same goes if you utilize depositories such as GitHub. If you need assistance protecting your work, please contact the TAs or the instructor.

Students who encourage others to cheat or plagiarize, or students who are aware of plagiarism or cheating and do not report it are also participating in academically dishonest behavior.

We will use a software tool, MOSS, to check for copying among submitted assignments. Additionally, we will inspect all submitted material to detect academic integrity violation.

If you have any assignment related questions, please utilize the PSOs and office hours which are scheduled Monday-Friday. The main difference between getting help on coding related questions from the instructor/TAs versus a fellow student is that the instructor/TAs will provide assistance that help you tackle a problem on your own without revealing the solution.

Any case of academic dishonesty will be dealt with by a severe grade penalty in the overall class grade and referral to the office of the Dean of Students.

Emergencies: In the event of an emergency, course requirements, deadlines, and grading percentages are subject to changes that may be necessitated by a revised semester calendar. If such unusual circumstances arise, students may determine any such changes by contacting their instructors via email or phone, and checking the course web page for updates. In the event of a family emergency, please contact the instructor to set accommodations following university rules.

Campus emergencies and closings will be announced on local media and on the main Purdue University WWW site http://www.purdue.edu. Please consult the Purdue emergency preparedness resources web site for detailed information and relevant resources. Consult PUSH for COVID-19 related information.

In the event of health issues, please contact the Protect Purdue Health Center (PPHC) or your health care provider to receive support and medical attention. Reach out to your Academic Case Manager acmq@purdue.edu to receive additional assistance. In case of hospitalization and other urgency care, please contact the Office of the Dean of Students (ODOS) who will document and notify the instructor. Please check the Excused Absence Policies site for additional details.

Purdue University is committed to advancing the mental health and well-being of its students. If you or someone you know is feeling overwhelmed, depressed, and/or in need of mental health support, services are available. For help, contact Counseling and Psychological Services (CAPS) at 765-494-6995 during and after hours, on weekends and holidays, or by going to the CAPS office on the second floor of the Purdue University Student Health Center (PUSH) during business hours.

Non-discrimination: Purdue University is committed to maintaining a community which recognizes and values the inherent worth and dignity of every person; fosters tolerance, sensitivity, understanding, and mutual respect among its members; and encourages each individual to strive to reach his or her potential. In pursuit of its goal of academic excellence, the University seeks to develop and nurture diversity. The University believes that diversity among its many members strengthens the institution, stimulates creativity, promotes the exchange of ideas, and enriches campus life. A hyperlink to Purdue???s full Nondiscrimination Policy Statement is included in Brightspace under University Policies.

Accessibility: Purdue University is committed to making learning experiences accessible. If you anticipate or experience physical or academic barriers based on disability, you are welcome to let me know so that we can discuss options. You are also encouraged to contact the Disability Resource Center at: drc@purdue.edu or by phone: 765-494-1247.