Enhancing Resource Allocation for Cloud Computation Platform with Priority Based Scheduling
摘要
Cloud computing platforms are clusters of high-end computers in Internet-based data centers that provide elastic software and hardware products at scale. In this paper, we propose a formula for predicting the number of resources needed for executing a job in a cloud render cluster. The users of the cloud computing platforms can use this formula to better balance production costs and deadlines, thus reducing costs and improving performance. According to the result of our experiments, our approach can accurately predict the system resource consumption. Thus, it can be used for setting parameters that maintain system performance.