Threshold-Aware Resource Allocation Algorithm in Cloud Computing Platform

Abstract

To tackle the continuous increase in energy consumption of cloud computing platforms, this paper proposes a threshold-aware resource allocation (TARA) algorithm in cloud computing platforms. This algorithm systematically analyzes the factors that affect the physical machine (PM) utilization and reasonably determines the PM utilization threshold. The performance loss caused by virtual machine (VM) migration is further analyzed. The experimental show that the energy consumption is reduced by 35% on average. From the above results, it can be seen that this algorithm has a good effect when applied to the resource management of cloud computing platforms, and can play a certain reference role.