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.

Data and Resources

Cite this as

Peng YANG, Laoming ZHANG, Haifeng LIU, Guiying LI (2024). Dataset: Synthetic Dataset for MERL-LB. https://doi.org/10.57702/5fe0tkxo

DOI retrieved: December 16, 2024

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.1007/s11432-023-3895-3
Author Peng YANG
More Authors
Laoming ZHANG
Haifeng LIU
Guiying LI