The case for power management in web servers
Power aware computing
Balance of Power: Dynamic Thermal Management for Internet Data Centers
IEEE Internet Computing
Disk Drive Roadmap from the Thermal Perspective: A Case for Dynamic Thermal Management
Proceedings of the 32nd annual international symposium on Computer Architecture
Mercury and freon: temperature emulation and management for server systems
Proceedings of the 12th international conference on Architectural support for programming languages and operating systems
Thermal-Aware Task Scheduling to Minimize Energy Usage of Blade Server Based Datacenters
DASC '06 Proceedings of the 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing
Making scheduling "cool": temperature-aware workload placement in data centers
ATEC '05 Proceedings of the annual conference on USENIX Annual Technical Conference
Thermo-Fluids Provisioning of a High Performance High Density Data Center
Distributed and Parallel Databases
Temperature-aware processor frequency assignment for MPSoCs using convex optimization
CODES+ISSS '07 Proceedings of the 5th IEEE/ACM international conference on Hardware/software codesign and system synthesis
Identifying and using energy-critical paths
Proceedings of the Seventh COnference on emerging Networking EXperiments and Technologies
ADHOC-NOW'12 Proceedings of the 11th international conference on Ad-hoc, Mobile, and Wireless Networks
Thermal Modeling of Hybrid Storage Clusters
Journal of Signal Processing Systems
Review: A survey on architectures and energy efficiency in Data Center Networks
Computer Communications
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Increasing heat dissipation density is becoming a limiting factor in air-cooled data centers. The main control objective in data center thermal management is to keep the temperature of all the data processing equipment below a certain threshold and at the same time maximize the energy efficiency of the system. Existing work in this field does not take into account unexpected changes in the workload and neglects the cost of control actions taken by the cooling infrastructure. To address this problem, we derive a thermodynamic model of a data center and propose a novel model-based temperature control strategy that combines air flow control and thermal-aware scheduling. The air flow controller is responsible for the long-term decisions by switching between multiple operating points, whereas the scheduler accounts for short-term fluctuations in the workload that are not predictable. Simulations with synthetic and real workload traces show that we can control the temperatures at the racks in an efficient and stable manner with this approach.