A novel machine learning-based framework for channel bandwidth allocation and optimization in distributed computing environments

EURASIP Journal on Wireless Communications and Networking

Table 1 Simulations parameters

Simulation parameter	Min value	Max value
Workloads (Different types and intensities of workloads)	1	10
Network conditions	1	5
Number of users	100	500
Bandwidth ranges	10 MHz	100 MHz
Bandwidth allocation Techniques	1	3
Number of records	80,000	100,000
Types of traffic	Average traffic, Peak traffic, Distribution of traffic