Research Article
Software Architecture for Dynamic Thermal Management in Datacenters
@INPROCEEDINGS{10.1109/COMSWA.2007.382430, author={Tridib Mukherjee and Qinghui Tang and Corbett Ziesman and Sandeep K. S. Gupta and Phil Cayton}, title={Software Architecture for Dynamic Thermal Management in Datacenters}, proceedings={2nd International IEEE Conference on Communication System Software and Middleware}, publisher={IEEE}, proceedings_a={COMSWARE}, year={2007}, month={7}, keywords={Computer architecture Corporate acquisitions Cost function Power system management Processor scheduling Resource management Sensor systems Software architecture Thermal management Thermal sensors}, doi={10.1109/COMSWA.2007.382430} }- Tridib Mukherjee
Qinghui Tang
Corbett Ziesman
Sandeep K. S. Gupta
Phil Cayton
Year: 2007
Software Architecture for Dynamic Thermal Management in Datacenters
COMSWARE
IEEE
DOI: 10.1109/COMSWA.2007.382430
Abstract
Minimizing the energy cost and improving thermal performance of power-limited datacenters, deploying large computing clusters, are the key issues towards optimizing their computing resources and maximally exploiting the computation capabilities. In this paper, we develop a unique merger between the physical infrastructure and resource management functions of a cluster management system to take a holistic view of datacenter management, and make global (at the level of a datacenter) thermal-aware job scheduling decisions. A software architecture is presented in this regard and implemented in a fully operational computational cluster in the ASU datacenter. The proposed architecture develops a feedback-control loop, by combining information from ambient and on-board sensors with the node allocation and job scheduling mechanisms, for managing the system load depending on the thermal distribution in the datacenter.
