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Operating Systems
Creation date：2025-02-17 10:26:31
Belonging category：计算机computer science
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Assignment 3
Develop a simple Linux kernel module that runs on your virtual machine. The only functionality required of your

module is to be able to load and unload, printing a debug message while doing so.

When a Linux kernel module is loaded, it invokes an init function, and when it is removed (or unloaded), it

invokes an exit function.

A) (0 points) Read chapter 2 of the freely available O’Reilly book “Linux Device Drivers, 3

rd

Edition”

(https://lwn.net/Kernel/LDD3/), in particular p.16, as well as your text book p.96 to get you started. Note that

even though the LDD3 book is written for kernel version 2.6, most mechanisms are applicable with minor or

no changes. The relevant example code is copied below as a starting point.

#include

#include

MODULE_LICENSE("Dual BSD/GPL");

static int hello_init(void)

{

printk(KERN_ALERT "Hello, world\n");

return 0;

}

static void hello_exit(void)

{

printk(KERN_ALERT "Goodbye, cruel world\n");

}

module_init(hello_init);

module_exit(hello_exit);

The hello_init() function is invoked when you insert your module (using the insmod shell command),

whereas the hello_exit() is called when you unload your module (using the rmmod shell command).

B) (0 points) Read the description of the global kernel variable jiffies and the macro HZ in the O’Reilly book

(search in the searchable pdf). Then read about the ktime_get_boottime() routine in

https://www.kernel.org/doc/html/latest/core-api/timekeeping.html


C) (0 points) You may need to install the kernel headers if not already installed. Type:


sudo apt-get install linux-headers-$(uname -r)


D) (10 points) Modify the c code given above (which becomes your lab3.c) such that:

1) The init function prints the tick time in milliseconds (i.e. the timer interval, as we defined it in weeks 1/2)

after the hello message.

The init function shall also save the value of jiffies and the current time.

Operating Systems - Prof. Omar Mansour

2) The exit function prints a goodbye message and the time in milliseconds between the insertion and

removal of the module i.e. between init and exit functions) using two different methods:

a. Using the difference in the value of jiffies from inserting the module to removing the module.

b. Using the time difference obtained by reading the timer (Hint: use ktime_get_boottime().

You shall use the Makefile provided with the assignment (In some cases, you may need to slightly modify the

Makefile provided to suit your setup). You should place it in the same directory as your .c file (lab3.c)

Hints:

E) Your module should use printk() to print messages. You will use this print facility to also debug your

code if needed ( ). More information may be found on https://www.kernel.org/doc/html/latest/core-

api/printk-basics.html

F) Use dmesg shell command to view messages printed by printk(), e.g. type:

dmesg

You may clear the log using:

dmesg -C

What to submit to gradescope:

Please submit the following files individually:

1) Source file(s) with appropriate comments.

The naming should be similar to “lab#_$.c” (# is replaced with the assignment number and $ with the

question number within the assignment, e.g. lab4_b.c, for lab 4, question b OR lab5_1a for lab 5, question

1a).

2) A single pdf file (for images + report/answers to questions), named “lab#.pdf” (# is replaced by the

assignment number), containing:

Screen shot(s) of your terminal window showing the current directory, the command used to

compile your program, the command used to run your program and the output of your program.

3) Your Makefile, if any. This is applicable only to kernel modules.


RULES:

You shall use kernel version 4.x.x or above. You shall not use kernel version 3.x.x.

You may consult with other students about GENERAL concepts or methods but copying code (or code

fragments) or algorithms is NOT ALLOWED and is considered cheating (whether copied form other

students, the internet or any other source).

If you are having trouble, please ask your teaching assistant for help.

You must submit your assignment prior to the deadline.
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MATH 239 QF5203 INFR08010 IT114105 FIT2093 ECON3124 ECON1195 MATH 337 STAT 3006 COMP202 COMP3130 MATH3609 COMP 250 CS6140 IEEE ELE00041I FIN40090 CIV 5899 MATH3066 IGNMENT MATH 2009 STAT3405 HIST 101 MATH 3281 CEGE0042 ICT532 LAB 7 LAB 5 MCO455 CSIT214 Q4 IFB104 A1 ECO220Y5Y DA5020 CMPSC473 FIN9007 DSCI553 MSCI534 COMP3308 CSE-112 CMPT 310 EE104 F 2C P20 ALY2010 BUSM060 STA258 ECO00030M R BIOSTAT 274 COS6012-B FIT3155 CMPUT 340 EC421 INFS4205 ECOM135 NATS 1740 COMP809 MBE 6005 STA465 CSSE2310 CIVL2700 DATA4700 CMPSC 473 ISE 529 CS5044 MAST30020 COMP2207 ENGG1001 COMP0046 FIT3165 STAT GR5241 MECH0007 vATHK1001 ANALYTIC ATHK1001 MATH352001 HW3 S1 BMAN 24662 COMP 636 Stat-461 STAT 302 STAT 2132 STAR534 ENG4137 CMP3752M CS3103 BISM3222 STA 135 ME155A IIMT3601 ECON3371 ECON 3371 HW4 FINA 5840 DT211C CTEC3902 MAT005 MATH2148 S261F Econ 332 MATH3734 MIS41270 7CCMFM13 SYST 664 CIS434 CENG10014 MT4111 MT4527 ECMM424 CMT219 Math 136 MATH 3120 COMP10002 MAST20009 MATH0058 BEEM117 ISYE 6420 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MOEC0021 STA 106 ENGG 1300A ENGG 1300 OLET1139 STAT 3503 STAT 206 FEM11149 ELEN 4720 COMP20003 SOLA1070 CS574 C11CS LINB29H3 MAST90083 ECON7200 STAT 610 LINB29 DSM-5 COMP3161 EEEN40010 MATH 4431 K353 STA 3386 IERG4300 COMS W4167 ENG5298 AMME 2302 CS3910 COMPSCI 320 STATS 369 GR5242 COSC 328 CSCI435 MGTS1301 INFS2200 COMP3900 CIS 375 Module AE03 COMP3121 CS260 HAM503 MGMT5050 INT3075 COSC 285 GEOL0029 GEGE2X01 STAT1201 MATH1061 MMF1941H STAT 5060 CS 520 COMP 4320 MSIN0104 000T FINS3648 ECMT2160 ECON4003 Phys 129L CSE 142 CS 3130 MGEB01 EECS 340 Finance (20443/20444) ECMM149 COMP5310 EEEN60180 CSC 111 AT2 CSCI 4430 STAB57 MA/CSC 427 MATH322 D100 CSCI544 CITS3004 CI6227 CSE 565 APCO 1P01 852L1 ELEC S411F COMP3207 STATS330 ECON7530 FIT5149 CSI4104 CMPT 371 COMP201 SEHS4696 FI4003 MATH6182 CG1 WS MATH401 MGT 205 QTM 110 COMP 0137 MACE12201 FIT5210 ECE 544 BISM7206 HUDM 6055 ECON3203 STATS 210 MSCI 570 MATH6173 COMPSCI4039 Accounting COM3503 AOE2024 ECON213 PSYC10004 Control Data 100/200A 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CMP7000A CMP-7038B Math 263 LAW3016 CS371 STAT 334 FIN0008 ACC3004 STAT 371 ​COMP1921 MTH201 ACCT2000 UN3412 CIV6000 MATHS 3021 MATE7014 ECON1 CIBC6035 LAW121G COMM 321 CSC8204R TTM2033 CSCI 2600 MAE 115 LNG302 CENV6175W1 ECON30019 CPS2015 BST969 DDES9015 AMATH242 CS 1151 N1592 ACCT600 EG503G SMM519 EC318 Ecstatistics EEE 471 MARK2051 Topology COM00037H ACCT3000 MTHM501 EG501V COM00055H BUSN9085 GGR273 MATH 2B ITD102 MA214 ECON0060 ECE3114 ECMM447 Mechanics CCT361H5S BSAN3210 WELF2001 Fin3001 RESP5001 STA 137 Linguistics 101 CSCI368 CMPSC497 LUBS3655 OMBA 5355 BUSM2562 ​BFF5902 CYBR7001 CULT2005 ECON 7720 MTRX3760 FSE598 ​LUE1001 MGSC 7100 CS3240 COSC7500 ACCT3091 INFOGR TRAN 2080 DESIGN CIVE215001 CIVE2360 CPSC 8430 FNCE2003 Stoichiometry INFS6023 Quantitative Method Math 21D ECE5179 Design ​ECON8022 Chemical DMS 213 ADM1370 BFF5902 BFF2701 AGRI10051 AMN400 ECON7322 ​FINC5090 ​MATH1052 ​SciComp Elec4622 ​FINS5516 ENG 101 MMM143 CS431CA2 BSAN2201 EBSC7070 ES9v9-10 PLIN0009 DATA 8 MATH 101 BCPM0097 ​MAT 237 BISM2201 EEE8099 Physics 11 ECE2238B Biostat 234 ​ECON30009 INF10025 CHEM252 CCMA4008 CIVE 3007 STAT0031 ELEC ENG 3108 MGMT90140 CHEM 252 STAT3016 MMM095 ​MMGT6016 Legal STAT 311 ELEC9764 COMP 370 TCS 3053 EECS 1021 FIT1051 C/C++ EE3C COMP2003J COM398 COMP51915 Simulator FIN42330 8PRO102 PGD ELEC5160 XJCO1921 COMP5123M INFS 2042 CHE1148H ECA5313 IN3329 Microsoft Modeling B15 2TT COMP3687 COMP2432 DMS2030 KAN4TSF CFKG CSE 5322 CSE 445 STATS 3DA3 CHC5223 COMP1048 EL3105 EECS 3221 CS231 ME 4434 ITP4510 ITP4501 CSCI 5708 Controller EECE 5699 CPEN 231L CPN programs CSC8016 MATU9D2 ENGN4213 2. SVM. (10 points) Consider an SVM classifier using RBF kernel, and finish the following python code to search for the optimum kernel parameter γ. You are required to calculate the RBF function and search yourself, instead of using functions in Scikit-Learn (sklearn). def parameter search(gamma list ,Xtr,ytr,Xts,yts ,...): """ Parameters gamma list: A list of RBF kernel parameter gamma to search for Xtr: Training data, shape (ntr,nrow,ncol) ytr: Training labels, shape (ntr,) Xts: Test data, shape (nts,nrow,ncol) yts: Test labels, shape (nts,) ... Add other parameters as needed Returns: gamma optimum: The gamma with minimum error on Xts, yts """ ... return gamma optimum
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