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COEN 346 – Operating Systems
创建日期：2024-06-20 18:08:41
标签： COEN 346
Operating Systems

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COEN 346 – Operating Systems

Assignment 
Introduction
The key to this experiment is that all worker threads synchronize the change count value.
There are several ways around this, here we use the AtomicInteger class to ensure that
each child thread can atomically change count to ensure thread synchronization. In the
Java language, the ++ I and I ++ operations are not thread-safe, and the synchronized
keyword is unavoidable when used. AtomicInteger works through a thread-safe addition
and subtraction interface. Using atomicInteger, we can implement count increment in
multiple child threads.

Classes
Tool class
Worker_thread
Main

Tool class
We store all variables to be used by the main thread in the Tool class, such as count,
worker_number, pattern, etc., Tool object created in the main thread, and all threads
share it by reference.

Worker_thread
Child Thread class, inherited from Thread class. At initialization, you get the Tool
object and the line number of the log to operate on. Rewrites the run method to call the
LevenshteinDistanc function in the run method to calculate the difference between the
current log and pattern. If acceptable_change is true, increase the count in tool.

Main
Instantiate tool in the class and read vm_1.txt to store all logs in logs (ArrayList).
Create the corresponding worker thread according to the work_number. Each worker
thread corresponds to an index. This index is not only the thread ID, but also the row
number of the log to operate. The main thread then calls the join method and calculates
the closed approximate_avg when current round all child threads have finished. If it is
0.2 larger than the previous one, work thread will +2 and then start the next round.

Program Flow
1. Read the txt file into an array.
2. Each thread (initial two) reads one line for processing.
3. Use the algorithm given from LevenshteinDistance to compare strings, and then
update a global variable count based on the result multi-threaded.
4. After all the threads are updated, the main thread updates the approximate_avg
(initial zero) again according to the results. If the requirements are met, two more
threads are created and then executed.
Compile results
Vulnerability Pattern in my implementation is:
7K205MBSYBCT49JT8NZK2N137DIWX7WUPNBJGLVIGN0LB6OBM68ONZ1S
9L1VO7DS9D. Since program needs to go through more than 9,000 iterations to read
a total of 200,000 lines of log statements, I only show the screenshots of the result of
first ten iterations below.

The worker thread’s task is to search its assigned log statement for the possible
similarity with the vulnerability pattern inside the log statement, if the value of
acceptable_change is true(change ratio equal or bigger than 0.05), the worker thread
will increase the number of detected vulnerabilities by one. Every time the temp_avg
is more than 20% of the previous value of approximate_ave, the master thread will
increase the number of launched worker threads for the next iteration by 2.

As we can see, after 9th iteration, the number of worker threads stop increase since
temp_avg = 132/200000 = 6.6E-4 which is not more than 20% of 5.5E-4(previous value
of approximate_ave).

Conclusion
For this programming assignment, the goal is to divide the task through multiple threads,
and then all the sub-threads complete the task (each sub-thread reads a line of log
statement and processes it). When multiple child threads are operating the same variable
or data structure, it must be ensured that only one thread is operating the variable or
data structure. If a thread context switch occurs suddenly during the operation of the
child thread, it will force the thread to be suspended and lead to erroneous results.
Count++, for example, is ostensibly a single statement, but the compiler translates it
into three assembly instructions. When a thread is forced to pause at the first assembly
instruction, the result will be an error.
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EMESTER1 MAS8383 ECO 512 STAT 8310 CMN3102 MA577 CMPT 225 COMP0045 Methods Equations MATH 113 Math 3283W ICS-33 EN4302/ENT603 BIA B350F MA318 MTHM506 MECH 5315M ECONOMICS MAS8382 COM 2004 PX3142 XJEL 3662 STAT 231 MGT B399F PX4131 COM2108 30AM MSCI521 ECONM1015 ACFI304 GR5241 MATH10101 ECON 2070 COMS31900 EFIM20011 CSE 250B ACSE-5 STAT4207 SOFT2412 ELEC 331 AY2020 MSIN0209 FIT2094 CS 241L ST404 CS 411 3D CA3 INF4002 COMP3506 SIT718 CS 188 CS 170 MATH 138 CSE 251A CMT118 DATA5207 CMPT307 CMPT459 T1 PGEE11108 COSC 3P32 ME 163 MATH96007 7QQMM203 EE6227 BA 574 STA 4234 ECO206Y1Y ECO2008 MT2300 MATH 11158 CS 527 MACM 316 CSE474 2DI70 ISE 525 COMP3411 EMAT30007 7CCSMBDT MFIN704 MFIN704W21 MfIB ECE 438 CS 436 F36 CS5344 FE 621A FE621 TBA 612 ECM3151 ECMM422 MF1 MSIN0107 ESSMENT CS 5854 MFIT 5008 MIPS R4000 ENG5274 BU52018 ENG2079 BIOA02 STA2570 F0 INF553 STAT 440 STAT3008 COMP9417 COMP6451 6COM1042 BU52006 ST303 HW-1 CISC-235 CS 510 MATH3161 ECN 140 ECE391 Comp 3613 CVEN 9625 PRG455 UESTION 1 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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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