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CSCI 4210 — Operating Systems
创建日期：2024-06-13 17:53:27
标签： CSCI 4210
Operating Systems

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CSCI 4210 — Operating Systems

Simulation Project Part II (document version 1.0)
Processes and CPU Scheduling
Overview
• This assignment is due in Submitty by 11:59PM EST on Wednesday, April 3, 2024
• This project is to be completed either individually or in a team of at most two students; teams
are formed in the Submitty gradeable, but do not submit any code until we announce that
auto-grading is available
• Note that you can change teams from Part I to Part II
• Beyond your team (or yourself if working alone), do not share your code; however, feel free
to discuss the project content and your findings with one another on our Discussion Forum
• To appease Submitty, you must use one of the following programming languages: C, C++,
Java, or Python (be sure you choose only one language for your entire implementation)
• You will have 16 penalty-free submissions, after which a small penalty will be applied
• You can use at most three late days on this assignment; in such cases, each team member
must use a late day
• Given that your simulation results might not entirely match the expected output on Submitty,
we will cap your auto-graded grade at 50 points even though there will be more than 50
auto-graded points available in Submitty; this should help you avoid the need to handle
unusual corner cases, which are not an important aspect of this project
• All submitted code must successfully compile and run on Submitty.
• If you use C or C++, your program must successfully compile via gcc or g++ with no warning
messages when the -Wall (i.e., warn all) compiler option is used; we will also use -Werror,
which will treat all warnings as critical errors; the -lm flag will also be included.
• For source file naming conventions, be sure to use *.c for C and *.cpp for C++; in either
case, you can also include *.h files
• If you use Java, name your main Java file Project.java, do not use the package directive
• For Python, you must use python3; be sure to name your main Python file project.py
• For Java and Python, be sure no warning messages or extraneous output occur during com-
pilation/interpretation
• Please “flatten” all directory structures to a single directory of source files before submitting
your code
2
Project specifications
For Part II of our simulation project, you will simulate an operating system given the set of processes
pseudo-randomly generated in Part I. The overall focus will again be on processes, assumed to be
resident in memory, waiting to use the CPU. Memory and the I/O subsystem will not be covered
in depth in either part of this project.
Conceptual design — (from Part I)
A process is defined as a program in execution. For this assignment, processes are in one of the
following three states, corresponding to the picture shown further below.
• RUNNING: actively using the CPU and executing instructions
• READY: ready to use the CPU, i.e., ready to execute a CPU burst
• WAITING: blocked on I/O or some other event
RUNNING
STATE
READY
STATE
WAITING (on I/O)
STATE
+-----+ +---------------------+
| | +-------------------+ | |
| CPU | <== | | | | | | I/O Subsystem |
| | +-------------------+ | |
+-----+ <<< queue <<<<<<<<< + ------------------------------- +
Processes in the READY state reside in a queue called the ready queue. This queue is ordered
based on a configurable CPU scheduling algorithm. You will implement specific CPU scheduling
algorithms in Part II of this project.
All implemented algorithms (in Part II) will be simulated for the same set of processes, which
will therefore support a comparative analysis of results. In Part I, the focus is on generating useful
sets of processes via pseudo-random number generators.
Back to the conceptual model, when a process is in the READY state and reaches the front of the
queue, once the CPU is free to accept the next process, the given process enters the RUNNING
state and starts executing its CPU burst.
After each CPU burst is completed, if the process does not terminate, the process enters the
WAITING state, waiting for an I/O operation to complete (e.g., waiting for data to be read
in from a file). When the I/O operation completes, depending on the scheduling algorithm, the
process either (1) returns to the READY state and is added to the ready queue or (2) preempts
the currently running process and switches into the RUNNING state.
Note that preemptions occur only for certain algorithms.
3
Algorithms — (Part II)
The four algorithms that you must simulate are first-come-first-served (FCFS); shortest job first
(SJF); shortest remaining time (SRT); and round robin (RR). When you run your program, all
four algorithms are to be simulated in succession with the same set of processes.
Each algorithm is summarized below.
First-come-first-served (FCFS)
The FCFS algorithm is a non-preemptive algorithm in which processes simply line up in the ready
queue, waiting to use the CPU. This is your baseline algorithm.
Shortest job first (SJF)
In SJF, processes are stored in the ready queue in order of priority based on their anticipated CPU
burst times. More specifically, the process with the shortest predicted CPU burst time will be
selected as the next process executed by the CPU.
Shortest remaining time (SRT)
The SRT algorithm is a preemptive version of the SJF algorithm. In SRT, when a process arrives,
if it has a predicted CPU burst time that is less than the remaining predicted time of the currently
running process, a preemption occurs. When such a preemption occurs, the currently running
process is simply added to the ready queue.
Round robin (RR)
The RR algorithm is essentially the FCFS algorithm with time slice tslice. Each process is given
tslice amount of time to complete its CPU burst. If the time slice expires, the process is preempted
and added to the end of the ready queue.
If a process completes its CPU burst before a time slice expiration, the next process on the ready
queue is context-switched in to use the CPU.
For your simulation, if a preemption occurs and there are no other processes on the ready queue,
do not perform a context switch. For example, given process G is using the CPU and the ready
queue is empty, if process G is preempted by a time slice expiration, do not context-switch process G
back to the empty queue; instead, keep process G running with the CPU and do not count this as
a context switch. In other words, when the time slice expires, check the queue to determine if a
context switch should occur.

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EARN 5 FE 825 IERG 5130 STAT 8178 EE161 ADS2 G54FUZ CS326 113B ECN 226 QBUS6860 ELEC3202 COMP9334 MGT11B MET CS 777 STA238 00099F Python SMM306 CMT206 EC116 SP MAST90084 CS480/680 BCPM0091 CMPT 300 ECON2209 FY20 STAT 432 CVEN9625 MATH1712 CMP9771M CMP3750M CIS 325 AI506 MAT344H1S MGT7180 PSTAT 160B CSYS5010 1D STAT 453/558 ME152B STA304H1F CSCI-128 ME428 CO3002 FINE 7640 COMP3234 ECSE 223 EE497 – 3D MATH5905 ECS648U ENG5009 MATH10242 EC665 A CPI221 ISOM5220 MACE40402 MGT B456F COMP9315 AFM 113 STAT 778 CS 564 MA231 CS 230 CS 124 COMP5511 CSC317 ITEC1010 ELEC207 INFT 3019 7CCMFM06 EE 161 5G ECLT5810 MATH 7349 CS526 O2 COMP90054 ELE00063M ACCT5034 ARC1015 CSCI 40 CSCI E40 FIN 524B CS 462 389COM CMT309 MFIN703 COMP4250 STA304 STA304H1S STA 1003 FIN 448 BUFN 732 CS520 CVEN3701 ECMT6006 PHAS0100 CSIT314 MDIA 5028 CSCI 2134 MAT 451 CMPT 459 STAT 457 INFO20003 COMP4141 IELE8066 F540 ECM9 CSE 6321 FIN 430 MATH3911 BFC5916 COMP1011 EEE 6209 STATS 240 CW3 COMP206 COMP1003 4331W ISE 530 CMPT 295 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 MGMTMFE 405 25579 1ECE 273 M122 COMP4434 1ELEC ELEC5620M STAT0010 BFF2401 MXB361 MATH3811 CS330 CMT307 FIT1033 CptS 583 UP 431 MATH6005 AF5343 CS2435 ECOM30002 ES50061 CS 2506 ECMT6002 CODE 00099F MT4539 ESSAY ICM317 MATH1231 MFIT5010 BMA547 MATH334 CIVL2201 MATH39032 T-04 CIVE97119 EMESTER CAB302 CAB301 59PM STAT802 ISYS3412 RM3 COSC 2123 AcF 311 MATH2022 1FINAL 4CCS1PHC ICM 142 ENVS3023 Math 4023 I1 ACSE8 FIN B385F CS-275 STA 4109-01 A31021 EE140 MT1 EE124 ECO-6004B Inf2-IADS CS126 IS2184 UL18 MATH5092 ECOM009 COMP 6211 ELEC202 MKT3019 IAB230 FIT5046 584-S21 COMP3210 CO250 A29401 MATH 136 MGT6174 ECMT6007 DATA2001 MAT 443 MATH10222 PHDE0071 ELE00123M COSC1295 MAT00045H MATH32032 1004GRC MAS223 COMP10001 DATA3404 CIVL2110 STAT2008 FNCE10002 EEE6431 COM6515 COMP9120 NBS8185 ECTE942 ECON 405 MATH314301 STAT 2011 COMPSCI 350 COMP20007 CMPSC-132 ECON5002 STA 35 MTH6108 FIT5147 MTH6150 100C FINA 5260 DESC9115 ECON4998 NBS8257 GMM ECON 6070 BSA2 ECE599 STATS 102B STA120 INFS601 BFC3241 MATH20602 COMP532 MAS275 COMP5318 COMP4002 FIT5086 MAST20004 FIT3152 FIT5129 CIS2380 CS521 COMP 1005 EECMS CITS5501 ECE 462 ECON 6002 ENG 4051 CSC 648 CMT654 MECHENG 713 PHYS1002 AMME 2000 FP0060 DDES3200 MECHENG 743 BINF90002 FIT2081 ISYS90081 ELECTENG 722 BUS 360 ECOS3010 BUS2810 ETF2100 ENG2048 STAT5002 COMP2017 CEME 2003 MATS3004 COMP9319 PHYS1001 COMP5349 AMME2261 COMP-381 FIT3173 COSC2757 ENG4025 QBUS2820 COMP9414 MATH2021 EOSC118 MFIN6690 PMATH 321 CSE-141L MATH575A COMPSCI5002 COMP1511 management comp2123 FINS3616 COMP 3331 COMS30034 DTSC 71 AcF 702 AcF702 DTSC71 MAT021 ELE8083 ACFI213 EG-127J 127J FIT5163 FIT2001 ELE00113M CMT310 CS 245 ENGL 1101 MTH6115 EE497 CS 325 Math 124A MTH5130 MBA502 MGT 5380 ARCH 1261 F033800 20LLP109 ELE4009 FINANCIAL COMP3331 Computer ECE4179 20T3 COMP9311 COMP9311 UNSW MFIN6210 ACCT 5930 EE590 ENG2029 ECO100 SIT315 ACCT3610 COMP3600 STK2100 FIT2004 COMP30020 ACTL1101 Stat 101B BANA 200 COSC2473 ENGG1400 AI COMP90043 MMF 1914H PHYS 127 CS584 CIVL2010 ECMT2150 CS 333 CP1406 KIT308 Economics 701 ECON3740 ECE 5759 BFC3340 FINC2012 COMP4500 MATH3871 FIT3080 18-819C Economic ECO202Y5Y PHY100 FINC-780 Econ 100B EC602 IE582 EE450 COMP9517 WRDS 150B ECON 570 LECTURE 2 ECA5101 ECE 4420 ADAD9311 FIT3031 CS 544 MF 703 CS 6140 KIT501 ENGSCI 344 CSC171 IE 332 FINM8007 21S2 COSC 1114 FE545 E471 SIT102 CSC108 MAT301 IAE 101 COP3503 STAT2004 EC 303 CS1026 STAT1203 MATH3171 ISOM5160 IFN657 FIT2014 ACCT2102 DSCI550 STATS 330 ELEC421 COMP3670 QBUS6840 MEES:698B MAST30027 MIET1077 Economics IFT 6758 FIT5122 BUSN5101 CptS 111 HRMT5502 Math2018 PP 312 INFS3200 CZ3005 CSSE1001 SENG 2011 MKTG 553Q BUFN 640 COMP507 ETF5952 DATA 311 ECE4043 BANK3011 finance M3H623544 HW1 INFS 7410 AI6103 STAT3888 INFS3208 ACCT7103 ECOS3013 PSYCH 20B F79MA STAT3006 ENGG952 2X MGSC 7000 ECE4132 MSF 526 MATH 3033 CDS 511 EEEE4120 EEET2465 ECA5103 MATH2070 ELEC3104 BU51019 EEE8147 ENGR20003 COSC 1107 ETF3200 FNCE 435 MSFI 435 ISyE6420 GENG4405 HW ETC5523 IE 7315 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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