Authors:
Won Ho Park
and
C. K. Ken Yang
Affiliation:
UCLA, United States
Keyword(s):
Power-aware Systems, Workload Scheduling, Server Provisioning, Electronic Cooling, Data Centers, Thermal Management.
Related
Ontology
Subjects/Areas/Topics:
Cloud Computing
;
Cloud Computing Architecture
;
Cloud Computing Enabling Technology
;
Cloud Workload Profiling and Deployment Control
;
Fundamentals
;
High Performance Cloud Computing
Abstract:
This paper presents an energy-efficient workload scheduling methodology for multi-core multi-processor
systems under actively cooled environment that improves overall system power performance with minimal
response time degradation. Using a highly efficient miniature-scale refrigeration system, we show that
active-cooling by refrigeration on a per-server basis not only leads to substantial power-performance
improvement, but also improves the overall system performance without increasing the overall system
power including the cost of cooling. Based on the measured results, we present a model that captures
different relations and parameters of multi-core processor and the refrigeration system. This model is
extended to illustrate the potential of power optimization of multi-core multi-processor systems and to
investigate different methodologies of workload scheduling under the actively cooled environment to
maximize power efficiency while minimizing response time. We propose an energy-e
fficient workload
scheduling methodology that results in total consumption comparable to the spatial subsetting scheme but
with faster response time under the actively cooled environment. The actively cooled system results in
≥29% of power reduction over the non-refrigerated design across the entire range of utilization levels. The
proposed methodology is further combined with the G/G/m-model to investigate the trade-off between the
total power and target SLA requirements.
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