HP ML150 Optimizing facility operation in high density data center environment - Page 22

Advanced thermal management techniques, Thermal Assessment Services, computing, networking

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Figure 17. Plenum static pressure greater than pressure above the floor (left). High-velocity discharge reduces static pressure closest to the unit (right). Advanced thermal management techniques Heat loads vary throughout a data center due to the heterogeneous mix of hardware types and models, changing compute workloads, and the addition or removal of racks over time. The variation in heat load may be too complex to predict intuitively or to address by adding cooling capacity. Approaches to managing these heterogeneous mixes of hardware and densities tend to be varied and proprietary. Hewlett Packard has been identified by independent consulting and research groups as a leader in advanced thermal management techniques for the data center. This section will focus on those HP techniques. HP Laboratories has devised two thermal analysis approaches-Thermal assessment services11 and Dynamic Smart Cooling-that manage heat distribution throughout a data center using computational fluid dynamics (CFD). Thermal assessment services use CFD modeling to aid planners in designing the physical layout of the data center for optimum distribution of cooling resources and heat loads. These modeling services can also predict the changes in heat extraction of each CRAC unit when the rack layout and equipment heat load are varied. Dynamic Smart Cooling offers a higher level of automated facility management. It enables intelligent data centers that dynamically provision cooling resources to match the changing heat dissipation of computing, networking, and storage equipment. It also redistributes compute workloads based on the most efficient use of cooling resources within a data center or a global network of data centers. Thermal Assessment Services HP Thermal Assessment Services use CFD modeling to determine the best layout and provisioning of cooling resources based on fixed heat loads from data center equipment. The heat extraction of each CRAC unit is compared to its rated capacity to determine how efficiently (or inefficiently) the CRAC unit is being used, or "provisioned." The provisioning of each unit in the data center is presented as a positive or negative percentage as follows: • An under-provisioned CRAC unit (positive percentage) indicates that the cooling load is higher than the capacity of the unit. • A closely provisioned CRAC unit (small negative percentage) signifies that the cooling load is less than but reasonably close to the capacity of the unit, leading to efficient use of energy resources. 11 For more information, please go to http://h20219.www2.hp.com/services/cache/114078-0-0-225121.html?jumpid=reg_R1002_USEN. 22

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Figure 17.
Plenum static pressure greater than pressure above the floor (left). High-velocity discharge reduces
static pressure closest to the unit (right).
Advanced thermal management techniques
Heat loads vary throughout a data center due to the heterogeneous mix of hardware types and
models, changing compute workloads, and the addition or removal of racks over time. The variation
in heat load may be too complex to predict intuitively or to address by adding cooling capacity.
Approaches to managing these heterogeneous mixes of hardware and densities tend to be varied
and proprietary. Hewlett Packard has been identified by independent consulting and research groups
as a leader in advanced thermal management techniques for the data center. This section will focus
on those HP techniques.
HP Laboratories has devised two thermal analysis approaches—Thermal assessment services
11
and
Dynamic Smart Cooling—that manage heat distribution throughout a data center using computational
fluid dynamics (CFD). Thermal assessment services use CFD modeling to aid planners in designing the
physical layout of the data center for optimum distribution of cooling resources and heat loads. These
modeling services can also predict the changes in heat extraction of each CRAC unit when the rack
layout and equipment heat load are varied.
Dynamic Smart Cooling offers a higher level of automated facility management. It enables intelligent
data centers that dynamically provision cooling resources to match the changing heat dissipation of
computing, networking, and storage equipment. It also redistributes compute workloads based on the
most efficient use of cooling resources within a data center or a global network of data centers.
Thermal Assessment Services
HP Thermal Assessment Services use CFD modeling to determine the best layout and provisioning of
cooling resources based on fixed heat loads from data center equipment. The heat extraction of each
CRAC unit is compared to its rated capacity to determine how efficiently (or inefficiently) the CRAC
unit is being used, or "provisioned."
The provisioning of each unit in the data center is presented as a positive or negative percentage as
follows:
•
An under-provisioned CRAC unit (positive percentage) indicates that the cooling load is higher than
the capacity of the unit.
•
A closely provisioned CRAC unit (small negative percentage) signifies that the cooling load is less
than but reasonably close to the capacity of the unit, leading to efficient use of energy resources.
11
For more information, please go to
121.html?jumpid=reg_R1002_USEN
.
22