TY - GEN
T1 - A virtual machine consolidation framework for CloudStack platforms
AU - Janpan, Tanasak
AU - Visoottiviseth, Vasaka
AU - Takano, Ryousei
PY - 2014
Y1 - 2014
N2 - Virtual machine (VM) consolidation is an emerging solution for energy saving in cloud data centers. An appropriate VM consolidation policy must change accordingly, depending on the situation. To easily deploy a VM consolidation solution, this paper proposes a VM consolidation framework for Apache CloudStack, which is a popular open source cloud platform software suite. We separate the VM consolidation mechanism from the policy used to decide which VMs should be moved to somewhere more appropriate to run. This framework is a modular architecture that combines various resource monitoring systems, power control mechanisms, and VM packing algorithms. Using the proposed framework, we have demonstrated that a web application can consolidate and deconsolidate VMs so as to balance the load of CPU utilization among physical machines in response to the number of physical machines in operation. Experimental results reveal the proposed framework is preliminary, but provides the required functionality.
AB - Virtual machine (VM) consolidation is an emerging solution for energy saving in cloud data centers. An appropriate VM consolidation policy must change accordingly, depending on the situation. To easily deploy a VM consolidation solution, this paper proposes a VM consolidation framework for Apache CloudStack, which is a popular open source cloud platform software suite. We separate the VM consolidation mechanism from the policy used to decide which VMs should be moved to somewhere more appropriate to run. This framework is a modular architecture that combines various resource monitoring systems, power control mechanisms, and VM packing algorithms. Using the proposed framework, we have demonstrated that a web application can consolidate and deconsolidate VMs so as to balance the load of CPU utilization among physical machines in response to the number of physical machines in operation. Experimental results reveal the proposed framework is preliminary, but provides the required functionality.
KW - Cloud Computing
KW - Data Center
KW - Energy-Efficient
KW - Green Computing
KW - VM consolidation
UR - https://www.scopus.com/pages/publications/84899982690
U2 - 10.1109/ICOIN.2014.6799494
DO - 10.1109/ICOIN.2014.6799494
M3 - Conference contribution
AN - SCOPUS:84899982690
SN - 9781479936892
T3 - International Conference on Information Networking
SP - 28
EP - 33
BT - International Conference on Information Networking 2014, ICOIN 2014
PB - IEEE Computer Society
T2 - 2014 28th International Conference on Information Networking, ICOIN 2014
Y2 - 10 February 2014 through 12 February 2014
ER -