An OpenStack-Based Resource Optimization Scheduling Framework

Abstract

This paper analyzes the current mainstream open-source Open Stack cloud platform resource scheduling mechanism, and proposes an extensible resource optimization scheduling framework based on Open Stack. The framework divides the physical hyper visor host into multiple logical resource pools. It not only can configure global resources optimization strategy for individual resource pool, but also specify local resources optimization strategies for each resource pool. The results show that the multi-resource pool resource optimization scheduling optimization framework proposed in this article is good for Open Stack resource optimization, performance isolation and security isolation, and has a good extension.