Synthetic Dataset for MERL-LB

The dataset used in this paper is a synthetic dataset for evaluating the performance of the proposed MERL-LB algorithm. It consists of 10 servers with 4 types of resources (CPU, RAM, HDD, and BW) and 10 time steps. The dataset is generated based on a Poisson distribution with a mean of 3 requests per minute.