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2nd International IEEE Conference on Communication System Software and Middleware

Research Article

Software Architecture for Dynamic Thermal Management in Datacenters

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BibTeX Plain Text
  • @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
Tridib Mukherjee1, Qinghui Tang1, Corbett Ziesman1, Sandeep K. S. Gupta1, Phil Cayton2
  • 1: Arizona State University, Tempe, AZ 85287
  • 2: Intel Corporation, Hillsboro, Oregon.

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.

Keywords
Computer architecture Corporate acquisitions Cost function Power system management Processor scheduling Resource management Sensor systems Software architecture Thermal management Thermal sensors
Published
2007-07-09
Publisher
IEEE
Modified
2011-07-26
http://dx.doi.org/10.1109/COMSWA.2007.382430
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