Title :
Hierarchical VM Management Architecture for Cloud Data Centers
Author :
Farahnakian, Fahimeh ; Liljeberg, Pasi ; Pahikkala, Tapio ; Plosila, Juha ; Tenhunen, Hannu
Author_Institution :
Dept. of Inf. Technol., Univ. of Turku, Turku, Finland
Abstract :
Efficient energy use has become a critical issue for designing and managing of cloud data centers. Virtualization is a key technology for reducing energy cost and improving resource utilization in data centers. One of the challenges faced by virtualized data centers is to decide how to pack VMs on the least number of physical machines. This paper presents a VM management framework which is based on a multi-agent system to minimize energy consumption and Service Level Agreement (SLA) violations. The proposed agents are arranged in a three level hierarchical structure to perform VM assignment, VM placement and VM consolidation in a data center efficiently. Experimental results demonstrate that the framework achieves high quality solution in spite of its simplicity and scalability.
Keywords :
cloud computing; computer centres; contracts; power aware computing; resource allocation; software management; virtual machines; SLA violations; VM assignment; VM consolidation; VM placement; cloud data center design; cloud data center management; efficient energy use; energy consumption minimization; energy cost reduction; hierarchical VM management architecture; physical machines; resource utilization improvement; service level agreement violations; Computer architecture; Energy consumption; Heuristic algorithms; Measurement; Resource management; Servers; Switches; Dynamic VM consolidation; Hierarchical model; SLA; cloud computing; energy-efficiency; green data center;
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2014 IEEE 6th International Conference on
Conference_Location :
Singapore
DOI :
10.1109/CloudCom.2014.136