Title :
Energy-Aware Dynamic VM Consolidation in Cloud Data Centers Using Ant Colony System
Author :
Farahnakian, Fahimeh ; Ashraf, A. ; Liljeberg, Pasi ; Pahikkala, Tapio ; Plosila, Juha ; Porres, Ivan ; Tenhunen, Hannu
Author_Institution :
Dept. of Inf. Technol., Univ. of Turku, Turku, Finland
fDate :
June 27 2014-July 2 2014
Abstract :
As the scale of a cloud data center becomes larger and larger, the energy consumption of the data center also grows rapidly. Dynamic consolidation of Virtual Machines (VMs) presents a significant opportunity to save energy by turning off unused Physical Machines (PMs) in data centers. In this paper, we present a distributed controller to perform dynamic VM consolidation to improve the resource utilizations of PMs and to reduce their energy consumption. Moreover, we use the ant colony system to find a near-optimal VM placement solution based on the specified objective function. Experimental results on the real workload traces from more than a thousand PlanetLab VMs show that the proposed approach reduces energy consumption and maintains required performance levels in a large-scale data center.
Keywords :
ant colony optimisation; cloud computing; virtual machines; ant colony system; cloud data center; distributed controller; energy consumption; energy-aware dynamic VM consolidation; near-optimal VM placement solution; virtual machine; Energy consumption; Heuristic algorithms; Linear programming; Optimization; Resource management; Servers; Vectors; Dynamic VM consolidation; SLA; ant colony system; cloud computing; energy-efficiency; green computing;
Conference_Titel :
Cloud Computing (CLOUD), 2014 IEEE 7th International Conference on
Conference_Location :
Anchorage, AK
Print_ISBN :
978-1-4799-5062-1
DOI :
10.1109/CLOUD.2014.24