Title :
A dynamic resource allocation method in IaaS based on deadline time
Author :
Guan, Lu ; Wang, Ying ; Li, Yanfei
Author_Institution :
State Key Lab. of Networking & Switching Technol., Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
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.
Keywords :
cloud computing; computer centres; energy conservation; resource allocation; virtual machines; DRAMDT algorithm; IaaS; VM instances; deadline runtimes; dynamic resource allocation method; energy saving; large scale cloud datacenters; performance impacts; power consumption; virtual machine; Algorithm design and analysis; Cloud computing; Dynamic scheduling; Power demand; Resource management; Runtime; Servers; IaaS cloud; runtime; time rotating VM sub-pool;
Conference_Titel :
Network Operations and Management Symposium (APNOMS), 2012 14th Asia-Pacific
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-4494-4
Electronic_ISBN :
978-1-4673-4495-1
DOI :
10.1109/APNOMS.2012.6356077
