A dynamic resource allocation method in IaaS based on deadline time
Lu Guan, Ying Wang, Yanfei Li · 2012
Reducing the number of active nodes is an natural and effective method in energy saving for large scale cloud datacenters. However, the traditional way of consolidating VMs by migration may lead to the impacts on performance as well as costs on power consumption and migration. In this paper, we propose an algorithm named DRAMDT to deploy VMs to servers without the use of migration, which groups VM instances by their deadline runtimes and pack VMs within the same group on the same servers. It is demonstrated in the experiments that DRAMDT is able to shut down more servers in time to save energy when user amount reduces. And the proposed algorithm has small searching space, low complexity and good scalability.