GitHub - NKH123/Load-Distribution-Using-Neural-Network: Networks: Used a neural network based approach. Generated the ground truth table by a Divide and Conquer based Ternary Search algorithm, to find a near optimal way to distribute the load across 4 systems on the basis of system parameters fed as features. Observed 25-50% reduction in the total processing time.

Neural Network based parallel load computation in distributed system environment

Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
data		data
execution		execution
result		result
0		0
1		1
2		2
3		3
Client.class		Client.class
Client.java		Client.java
ClientHandler.class		ClientHandler.class
Factorial.class		Factorial.class
Factorial.java		Factorial.java
InputThread.class		InputThread.class
OS Project.ipynb		OS Project.ipynb
README.md		README.md
Sample.class		Sample.class
Sample.java		Sample.java
Server$InputThread.class		Server$InputThread.class
Server.class		Server.class
Server.java		Server.java
ans.txt		ans.txt
bc.sh		bc.sh
bs.sh		bs.sh
data.txt		data.txt
model.py		model.py
os.java		os.java
ospro.pdf		ospro.pdf
ospro_pres.pdf		ospro_pres.pdf
output.txt		output.txt
s1.sh		s1.sh
script.py		script.py
script.sh		script.sh
times.txt		times.txt
top.txt		top.txt
topextr.sh		topextr.sh
weight.hdf5		weight.hdf5
x.npy		x.npy
y.npy		y.npy