Resource Selection Mechanism For Brokering Services In Multi-cloud Environment
Mohd Hairy Mohamaddiah, Azizol Abdullah, Shamala K. Subramaniam, Masnida Binti Hussin, Mazuhan Mohamad Nor · 2021
Job scheduling plays a vital role as for resource management in cloud computing which will allocate the resources and schedule the jobs for execution. The resources' selection is a crucial part in resource broker for scheduling the incoming jobs. However, in the process of selecting the resources, there are scenarios which may occur such as overutilized and underutilized resources when processing the jobs. In this paper, we proposed a resource selection mechanism for brokering services in multi-cloud environment by adopting one of the machine learning technique called classification technique. The proposed mechanism will select the ‘best resources that can be used to process the jobs to increase resource utilization. We perform our simulations using CloudSim Toolkit. Simulation results demonstrate that our mechanism outperformed other mechanisms in terms of utilization rate of the resources, therefore provide improvement in resource usage.