TY - GEN
T1 - How data center size impacts the effectiveness of dynamic power management
AU - Gandhi, Anshul
AU - Harchol-Balter, Mor
PY - 2011
Y1 - 2011
N2 - Power consumption accounts for a significant portion of a data center's operating expenses. Sadly, much of this power is wasted by servers that are left on even when there is no work to do. Dynamic power management aims to reduce power wastage in data centers by turning servers off when they are not needed. However, turning a server back on requires a setup time, which can adversely affect system performance. Thus, it is not obvious whether dynamic power management should be employed in a data center. In this paper, we analyze the effectiveness of dynamic power management in data centers under an M/M/k model via Matrix-analytic methods. We find that the effectiveness of even the simplest dynamic power management policy increases with the data center size, surpassing static power management when the number of servers exceeds 50, under realistic setup costs and server utilizations. Furthermore, we find that a small enhancement to traditional dynamic power management, involving delaying the time until a server turns off, can yield benefits over static power management even for data center sizes as small as 4 servers.
AB - Power consumption accounts for a significant portion of a data center's operating expenses. Sadly, much of this power is wasted by servers that are left on even when there is no work to do. Dynamic power management aims to reduce power wastage in data centers by turning servers off when they are not needed. However, turning a server back on requires a setup time, which can adversely affect system performance. Thus, it is not obvious whether dynamic power management should be employed in a data center. In this paper, we analyze the effectiveness of dynamic power management in data centers under an M/M/k model via Matrix-analytic methods. We find that the effectiveness of even the simplest dynamic power management policy increases with the data center size, surpassing static power management when the number of servers exceeds 50, under realistic setup costs and server utilizations. Furthermore, we find that a small enhancement to traditional dynamic power management, involving delaying the time until a server turns off, can yield benefits over static power management even for data center sizes as small as 4 servers.
UR - https://www.scopus.com/pages/publications/84856082579
U2 - 10.1109/Allerton.2011.6120299
DO - 10.1109/Allerton.2011.6120299
M3 - Conference contribution
AN - SCOPUS:84856082579
SN - 9781457718168
T3 - 2011 49th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2011
SP - 1164
EP - 1169
BT - 2011 49th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2011
T2 - 2011 49th Annual Allerton Conference on Communication, Control, and Computing, Allerton 2011
Y2 - 28 September 2011 through 30 September 2011
ER -