Homeworks 



Homeworks can be used to solidify your knowledge of the material in each ofthe chapters. Most homeworks are based on running little simulators, whichmimic some aspect of an operating system. For example, a disk schedulingsimulator could be useful in understanding how different disk schedulingalgorithms work. Some homeworks are just short programming exercises, allowingyou to explore how real systems work.

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For the simulators, the basic idea is simple: each of the simulators belowlet you both generate problems and obtain solutions for an infinitenumber of problems. Different random seeds can usually be used to generatedifferent problems; using the -c flag computes the answers for you(presumably after you have tried to compute them yourself!).

Each simulator now has a README file that explains how to run thesimulator. Previously, this material had been included in the chaptersthemselves, but that was making the book too long. Now, all that is left inthe book are the questions you might want to answer with the simulator; thedetails on how to run the simulator are all in the README.

Some simulations have a short video with one of the authors introducing thebasic concepts of how to use the simulator to generate homeworkproblems. Exciting, because you have to read less! Not exciting, because youhave to hear us speak.

NEW: Homework source code has been moved to GitHubhere. Thebest way to access them is to type git clonehttps://github.com/remzi-arpacidusseau/ostep-homework/ and then cd into therelevant homework directory, read the README, and follow directions at the endof the relevant chapter. The links below will no longer be maintained;however, we will leave them here for a short bit (until August 2020) in casesomeone is actively using them.

Old: Note: All of these scripts are available individuallyhere. Each singlescript is available as a gzip'd tar file; for example, type tar xvzfHW-Scheduler.tgz to unpack the scheduler.py script and an associatedREADME.

Old: A singletar file containing all scripts is also available; type tounpack all the scripts once you've downloaded the tar file.

Virtualization

Topic of InterestChapterVideoWhat To Do
Process IntroPDFVideoRun process-run.py
Process APIPDFVideoWrite some code
Direct ExecutionPDFVideoWrite some code
Scheduling BasicsPDFVideoRun scheduler.py
MLFQ SchedulingPDFVideoRun mlfq.py
Lottery SchedulingPDFVideoRun lottery.py
Multiprocessor SchedulingPDFVideoRun multi.py
VM IntroPDFVideoWrite some code
VM APIPDFVideoWrite some code
RelocationPDFVideoRun relocation.py
SegmentationPDFVideoRun segmentation.py
Free SpacePDFVideoRun freespace.py
PagingPDFVideoRun paging-linear-translate.py
TLBsPDFVideoWrite some code
Multi-level PagingPDFVideoRun paging-multilevel-translate.py
Paging MechanismPDFVideoRun mem.c
Paging PolicyPDFVideoRun paging-policy.py

Concurrency

Topic of InterestChapterVideoWhat To Do
Threads (Intro)PDFVideoRun x86.py
Threads (API)PDFVideoRun main-*.c
Threads (Locks)PDFVideoRun x86.py
Threads (Locks Usage)PDFVideoWrite some code
Threads (CVs)PDFVideoRun main-*.c
Threads (Semaphores)PDFVideoWrite some code
Threads (Bugs)PDFVideoRun vector-*.c
Threads (Events)PDFVideoWrite some code

Persistence

Topic of InterestChapterVideoWhat To Do
DisksPDFVideoRun disk.py
RAIDPDFVideoRun raid.py
FS IntroPDFVideoWrite some code
FS ImplementPDFVideoRun vsfs.py
FFSPDFVideoRun ffs.py
JournalingPDFVideoRun fsck.py
LFSPDFVideoRun lfs.py
SSDsPDFVideoRun ssd.py
IntegrityPDFVideoRun checksum.py and Write some code
Distributed IntroPDFVideoWrite some code
NFSPDFVideoDownload this and Write some analysis code
AFSPDFVideoRun afs.py

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