TY - GEN
T1 - CoolProvision
T2 - 6th ACM Symposium on Cloud Computing, ACM SoCC 2015
AU - Manousakis, Ioannis
AU - Goiri, Íñigo
AU - Sankar, Sriram
AU - Nguyen, Thu D.
AU - Bianchini, Ricardo
N1 - Publisher Copyright:
© 2015 ACM.
PY - 2015/8/27
Y1 - 2015/8/27
N2 - Cloud providers have made significant strides in reducing the cooling capital and operational costs of their datacenters, for example, by leveraging outside air ("free") cooling where possible. Despite these advances, cooling costs still represent a significant expense mainly because cloud providers typically provision their cooling infrastructure for the worstcase scenario (i.e., very high load and outside temperature at the same time). Thus, in this paper, we propose to reduce cooling costs by underprovisioning the cooling infrastructure. When the cooling is underprovisioned, there might be (rare) periods when the cooling infrastructure cannot cool down the IT equipment enough. During these periods, we can either (1) reduce the processing capacity and potentially degrade the quality of service, or (2) let the IT equipment temperature increase in exchange for a controlled degradation in reliability. To determine the ideal amount of underprovisioning, we introduce CoolProvision, an optimization and simulation framework for selecting the cheapest provisioning within performance constraints defined by the provider. CoolProvision leverages an abstract trace of the expected workload, as well as cooling, performance, power, reliability, and cost models to explore the space of potential provisionings. Using data from a real small free-cooled datacenter, our results suggest that CoolProvision can reduce the cost of cooling by up to 55%.We extrapolate our experience and results to larger cloud datacenters as well.
AB - Cloud providers have made significant strides in reducing the cooling capital and operational costs of their datacenters, for example, by leveraging outside air ("free") cooling where possible. Despite these advances, cooling costs still represent a significant expense mainly because cloud providers typically provision their cooling infrastructure for the worstcase scenario (i.e., very high load and outside temperature at the same time). Thus, in this paper, we propose to reduce cooling costs by underprovisioning the cooling infrastructure. When the cooling is underprovisioned, there might be (rare) periods when the cooling infrastructure cannot cool down the IT equipment enough. During these periods, we can either (1) reduce the processing capacity and potentially degrade the quality of service, or (2) let the IT equipment temperature increase in exchange for a controlled degradation in reliability. To determine the ideal amount of underprovisioning, we introduce CoolProvision, an optimization and simulation framework for selecting the cheapest provisioning within performance constraints defined by the provider. CoolProvision leverages an abstract trace of the expected workload, as well as cooling, performance, power, reliability, and cost models to explore the space of potential provisionings. Using data from a real small free-cooled datacenter, our results suggest that CoolProvision can reduce the cost of cooling by up to 55%.We extrapolate our experience and results to larger cloud datacenters as well.
KW - Cooling
KW - Datacenters
KW - Provisioning
UR - http://www.scopus.com/inward/record.url?scp=84958966949&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84958966949&partnerID=8YFLogxK
U2 - 10.1145/2806777.2806938
DO - 10.1145/2806777.2806938
M3 - Conference contribution
AN - SCOPUS:84958966949
T3 - ACM SoCC 2015 - Proceedings of the 6th ACM Symposium on Cloud Computing
SP - 356
EP - 367
BT - ACM SoCC 2015 - Proceedings of the 6th ACM Symposium on Cloud Computing
A2 - Balazinska, Magdalena
A2 - Freedman, Michael J.
A2 - Barahmand, Sumita
A2 - Ghandeharizadeh, Shahram
PB - Association for Computing Machinery, Inc
Y2 - 27 August 2015 through 29 August 2015
ER -