TY - GEN
T1 - Adaptive control for power management
AU - Luiz, Saulo O.D.
AU - Perkusich, Angelo
AU - Lima, A. M.N.
PY - 2011
Y1 - 2011
N2 - Power management techniques are applied to several types of computer systems, such as desktops, servers and embedded systems. For all of those systems, the use of a power management technique is expected to decrease power consumption without degrading performance. Therefore, a variety of power management techniques tailored for specific hardware architectures and the power management mechanisms for computer systems have been investigated. Feedback control constitutes a very promising technique for power management, because it provides some theoretical guarantees in terms of tracking accuracy and system stability. However, a computer system is subjected to unknown and nonstationary workloads. Therefore a feedback control based power management policy must be capable of adapting itself to the fluctuations of the workload, and still guarantee optimal performance with minimum power consumption. This paper proposes an adaptive control technique for power management considering such requirements. The experimental results have shown that the proposed adaptive control technique outperformed other state-of-the art policies both in power and system performance.
AB - Power management techniques are applied to several types of computer systems, such as desktops, servers and embedded systems. For all of those systems, the use of a power management technique is expected to decrease power consumption without degrading performance. Therefore, a variety of power management techniques tailored for specific hardware architectures and the power management mechanisms for computer systems have been investigated. Feedback control constitutes a very promising technique for power management, because it provides some theoretical guarantees in terms of tracking accuracy and system stability. However, a computer system is subjected to unknown and nonstationary workloads. Therefore a feedback control based power management policy must be capable of adapting itself to the fluctuations of the workload, and still guarantee optimal performance with minimum power consumption. This paper proposes an adaptive control technique for power management considering such requirements. The experimental results have shown that the proposed adaptive control technique outperformed other state-of-the art policies both in power and system performance.
UR - http://www.scopus.com/inward/record.url?scp=84858987409&partnerID=8YFLogxK
U2 - 10.1109/ICCA.2011.6138009
DO - 10.1109/ICCA.2011.6138009
M3 - Conference contribution
AN - SCOPUS:84858987409
SN - 9781457714757
T3 - IEEE International Conference on Control and Automation, ICCA
SP - 1027
EP - 1032
BT - 2011 9th IEEE International Conference on Control and Automation, ICCA 2011
T2 - 9th IEEE International Conference on Control and Automation, ICCA 2011
Y2 - 19 December 2011 through 21 December 2011
ER -