TY - JOUR
T1 - Reducing Power Consumption in Data Centers by Jointly Considering VM Placement and Flow Scheduling
AU - Li, Dawei
AU - Wu, Jie
N1 - Publisher Copyright:
© 2015 World Scientific Publishing Company.
PY - 2015/10/1
Y1 - 2015/10/1
N2 - Two important components that consume the majority of IT power in data centers are the servers and the Data Center Network (DCN). Existing works fail to fully utilize power management techniques on the servers and in the DCN at the same time. In this paper, we jointly consider VM placement on servers with scalable frequencies and flow scheduling in the DCN, to minimize the overall system's power consumption. Due to the convex relation between a server's power consumption and its operating frequency, we prove that, given the number of servers to be used, computation workloads should be allocated to severs in a balanced way, to minimize the power consumption on servers. To reduce the power consumption of the DCN, we further consider the flow requirements among the VMs during VM allocation and assignment. Also, after VM placement, flow consolidation is conducted to reduce the number of active switches and ports. We notice that, choosing the minimum number of servers to accommodate the VMs may result in high power consumption on servers, due to servers' increased operating frequencies. Choosing the optimal number of servers purely based on servers' power consumption leads to reduced power consumption on servers, but may increase power consumption of the DCN. We propose to choose the optimal number of servers to be used, based on the overall system's power consumption. Simulations show that, our joint power optimization method helps to reduce the overall power consumption significantly, and outperforms various existing state-of-The-Art methods in terms of reducing the overall system's power consumption.
AB - Two important components that consume the majority of IT power in data centers are the servers and the Data Center Network (DCN). Existing works fail to fully utilize power management techniques on the servers and in the DCN at the same time. In this paper, we jointly consider VM placement on servers with scalable frequencies and flow scheduling in the DCN, to minimize the overall system's power consumption. Due to the convex relation between a server's power consumption and its operating frequency, we prove that, given the number of servers to be used, computation workloads should be allocated to severs in a balanced way, to minimize the power consumption on servers. To reduce the power consumption of the DCN, we further consider the flow requirements among the VMs during VM allocation and assignment. Also, after VM placement, flow consolidation is conducted to reduce the number of active switches and ports. We notice that, choosing the minimum number of servers to accommodate the VMs may result in high power consumption on servers, due to servers' increased operating frequencies. Choosing the optimal number of servers purely based on servers' power consumption leads to reduced power consumption on servers, but may increase power consumption of the DCN. We propose to choose the optimal number of servers to be used, based on the overall system's power consumption. Simulations show that, our joint power optimization method helps to reduce the overall power consumption significantly, and outperforms various existing state-of-The-Art methods in terms of reducing the overall system's power consumption.
KW - Data centers
KW - data center networks
KW - flow scheduling
KW - joint power optimization
KW - virtual machine (VM) placement
UR - http://www.scopus.com/inward/record.url?scp=84948750758&partnerID=8YFLogxK
U2 - 10.1142/S0219265915500036
DO - 10.1142/S0219265915500036
M3 - Article
AN - SCOPUS:84948750758
SN - 0219-2659
VL - 15
JO - Journal of Interconnection Networks
JF - Journal of Interconnection Networks
IS - 1-2
M1 - 1550003
ER -