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COMP30023: Computer Systems
创建日期：2024-07-08 16:07:42
标签： COMP30023
Computer Systems

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COMP30023: Computer Systems


Project 1: Process and Memory Management

1    Background

In this project, you will familiarise yourself with process scheduling and memory management. You will simulate a process manager in a system where all processes are fully CPU-bound (i.e., have a single CPU burst and do no I/O). The process manager i) allocates processes to a CPU in a round-robin manner and ii) supports contiguous, paged, and virtual memory management.

2    Process Manager Overview

The process manager runs in cycles. A cycle occurs after one quantum has elapsed. The process manager has its own notion of time, referred to from here on as the simulation time.  The simulation time (TS ) starts at 0 and increases by the length of the quantum (Q) every cycle.  For this project, Q will be an integer value between 1 and 3 (1 ≤ Q ≤ 3).

At the start of each cycle, the process manager must carry out the following tasks in se- quence:

1. Identify all processes that have been submitted to the system since the last cycle occurred and add them to the process queue in the order they appear in the process file. A process is considered to have been submitted to the system if its arrival time is less than or equal to the current simulation time Ts.

2. Identify whether the process (if any) that is currently running (i.e., was given CPU time in the previous cycle) has completed its execution. If it has:

–  The process’s state is updated (see Section 3)

–  The process is removed from the process queue

–  The process’s memory is deallocated

3.  Determine the process that runs in this cycle.  This decision is made based on the scheduling algorithm (round robin) and the memory allocation strategy. This step entails:

–  Updating the state of the process that is currently running (if any) and the state of the newly allocated process (see Section 3)

–  Updating the process queue if needed

A detailed explanation of this stage is given for each task.

4. Increment the simulation time by Q seconds.

This cycle is repeated iteratively until all the processes that were submitted to the system have completed their execution.

3    Process Lifecycle

The lifecycle of a process is as follows:

1.  A process is submitted to the process manager via an input file  (See  Section 6 for more details). Note that you may read all the processes in the input file into a data structure, and use said data structure to determine which processes should be added to the process queue based on their arrival time and the current simulation time.

2.  A process is in a READY state after it has arrived (arrival time less than or equal to the simulation time). READY processes are considered by the scheduling algorithm as candidates to be allocated to the CPU.

3.  The process that has been selected to use the CPU enters a RUNNING state.

4.  After running for one quantum,

–  If the process has completed its execution, the process is terminated and moves to the FINISHED state.

– If the process requires more CPU time and there are other  READY  processes,  the process transitions back to the READY state to await more CPU time.

– If the process requires more CPU time and there are no other READY  processes, the process remains in the RUNNING state and runs for another quantum.

For simplicity, a process can only transition to the FINISHED state at the end of a quantum. This means that, in cases in which the service time of a process is not a multiple of the quantum, the total amount of time the process spends in the RUNNING state will be greater than its service time.

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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 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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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