TY - GEN
T1 - VIP
T2 - 2018 ACM Symposium on Cloud Computing, SoCC 2018
AU - Kang, Ki Dong
AU - Alian, Mohammad
AU - Kim, Daehoon
AU - Huh, Jaehyuk
AU - Kim, Nam Sung
N1 - Publisher Copyright:
© 2018 Association for Computing Machinery.
PY - 2018/10/11
Y1 - 2018/10/11
N2 - A power management policy aims to improve energy efficiency by choosing an appropriate performance (voltage/frequency) state for a given core. In current virtualized environments, multiple virtual machines (VMs) running on the same core must follow a single power management policy governed by the hypervisor. However, we observe that such a per-core power management policy has two limitations. First, it cannot offer the flexibility of choosing a desirable power management policy for each VM (or client). Second, it often hurts the power efficiency of some or even all VMs especially when the VMs desire conflicting power management policies. To tackle these limitations, we propose a per-VM power management mechanism, VIP supporting VIrtual Performance-state for each VM. Specifically, for VMs sharing a core, VIP allows each VM’s guest OS to deploy its own desired power management policy while preventing such VMs from interfering/influencing each other’s power management policy. That is, VIP can also facilitate a pricing model based on the choice of a power management policy. Second, identifying some inefficiency in strictly enforcing per-VM power management policies, we propose hypervisor-assisted techniques to further improve power and energy efficiency without compromising the key benefits of per-VM power management. To demonstrate the efficacy of VIP, we take a case that some VMs run CPU-intensive applications and other VMs run latency-sensitive applications sharing the same cores. Our evaluation shows that VIP reduces the overall energy consumption and improves the execution time of CPU-intensive applications compared with the default ondemand governor of Xen hypervisor up to 27% and 32%, respectively, without violating service level agreement (SLA) of latency-sensitive applications.
AB - A power management policy aims to improve energy efficiency by choosing an appropriate performance (voltage/frequency) state for a given core. In current virtualized environments, multiple virtual machines (VMs) running on the same core must follow a single power management policy governed by the hypervisor. However, we observe that such a per-core power management policy has two limitations. First, it cannot offer the flexibility of choosing a desirable power management policy for each VM (or client). Second, it often hurts the power efficiency of some or even all VMs especially when the VMs desire conflicting power management policies. To tackle these limitations, we propose a per-VM power management mechanism, VIP supporting VIrtual Performance-state for each VM. Specifically, for VMs sharing a core, VIP allows each VM’s guest OS to deploy its own desired power management policy while preventing such VMs from interfering/influencing each other’s power management policy. That is, VIP can also facilitate a pricing model based on the choice of a power management policy. Second, identifying some inefficiency in strictly enforcing per-VM power management policies, we propose hypervisor-assisted techniques to further improve power and energy efficiency without compromising the key benefits of per-VM power management. To demonstrate the efficacy of VIP, we take a case that some VMs run CPU-intensive applications and other VMs run latency-sensitive applications sharing the same cores. Our evaluation shows that VIP reduces the overall energy consumption and improves the execution time of CPU-intensive applications compared with the default ondemand governor of Xen hypervisor up to 27% and 32%, respectively, without violating service level agreement (SLA) of latency-sensitive applications.
KW - Cloud Computing
KW - Dynamic Voltage and Frequency Scaling
KW - Power Management
KW - Virtualization
UR - http://www.scopus.com/inward/record.url?scp=85058985710&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85058985710&partnerID=8YFLogxK
U2 - 10.1145/3267809.3267816
DO - 10.1145/3267809.3267816
M3 - Conference contribution
AN - SCOPUS:85058985710
T3 - SoCC 2018 - Proceedings of the 2018 ACM Symposium on Cloud Computing
SP - 237
EP - 248
BT - SoCC 2018 - Proceedings of the 2018 ACM Symposium on Cloud Computing
PB - Association for Computing Machinery
Y2 - 11 October 2018 through 13 October 2018
ER -