- This project introduces a Java-based Distributed Task Scheduling System for parallel data(Image & Matrix) processing using
Threads. - Efficient task scheduling optimizes resource allocation and timeframes.
- Clients can easily submit various tasks like Filter, Convolution, and Matrix, executed via
RMIon the server. All will be executed in parallel. - Server and its workers further breaks down tasks to pieces and send them through
TCPto slaves, then compiles outcomes when they are ready again, and then sends the result back to the client. - Slaves play a pivotal role by executing assigned sub-tasks.
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Fork & Clone the repository.
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Install JDK if its not installed yet, when done, go to your system environement variables, Edit Path, and add "C:\Path\To\Your\JDK\bin" at the end of it.
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Put all 5 config.txt files+ image+ kernel.txt in Desktop
Inside folder "src" open 8 of Git-Bash in each 1 of type these lines:
# Compile Java files
javac Classes/*.java
# Starts the slaves listening TCP
java Classes.SlaveTask config0.txt
java Classes.SlaveTask config1.txt
java Classes.SlaveTask config2.txt
java Classes.SlaveTask config3.txt
# Open the RMI port
rmiregistry 13190
# Start the server, creates multiple workers which works in parallel
java Classes.TaskSchedulerServer config.txt
# Open the GUI
java Classes.Tasksjps #To see all javaprocess along with PIDtaskkill /PID 5032 /F #To terminate in case it was needed, 5032 is just an example.- In case you didn't want to do this manually and felt lazy, check the folder called
Xtra, I included C codes where it can automatize this work, just fix the Path to each C file in each C code, compile each one of them. When you finish, run TaskManagement_Process.exe, this will run all the 8 commands I mentioned above automatically. - Now whenever you feel like trying the project again just run TaskManagement_Process.exe, no need to run 8 commands every single time, consider creating a link to the .exe file instead and add an icon.
- Contact me in LinkedIn for questions.
