Non-invasive thermal modeling techniques using ambient sensors for greening data centers

Michael Jonas, Georgios Varsamopoulos, Sandeep Gupta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Previous research has demonstrated the potential benefits of thermal aware load placement and thermal mapping in cool-intensive environments such as data centers. However, it has proved difficult to apply existing techniques to live data centers because of models that are either unrealistic, require extensive sensing instrumentation, or because their creation is disruptive to the data center services. The work presented in this paper discusses techniques and their associated challenges with respect to creating an adaptive and non-invasive method of creating realistic and low-complexity thermal models using built-in and ambient sensors. Uses of these techniques can vary from assessing the thermal efficiency of the data center to designing a thermal-aware job scheduler to lower total cost of ownership (TCO). Specifically, this paper proposes: i) a noninvasive thermal modeling software architecture that uses onboard, ambient and software sensors ii) and four different ways of leveraging the gathered data from an experimental application of the architecture to improve the greenness of the data center and our understanding of the thermal behavior of a data center.

Original languageEnglish (US)
Title of host publicationProceedings of the International Conference on Parallel Processing Workshops
Pages453-460
Number of pages8
DOIs
StatePublished - 2010
Event2010 39th International Conference on Parallel Processing Workshops, ICPPW 2010 - San Diego, CA, United States
Duration: Sep 13 2010Sep 16 2010

Other

Other2010 39th International Conference on Parallel Processing Workshops, ICPPW 2010
CountryUnited States
CitySan Diego, CA
Period9/13/109/16/10

Fingerprint

Greening
Thermal Modeling
Data Center
Sensor
Sensors
Thermal Model
Software Architecture
Scheduler
Instrumentation
Low Complexity
Placement
Software architecture
Hot Temperature
Sensing
Vary
Software
Costs

ASJC Scopus subject areas

  • Software
  • Mathematics(all)
  • Hardware and Architecture

Cite this

Jonas, M., Varsamopoulos, G., & Gupta, S. (2010). Non-invasive thermal modeling techniques using ambient sensors for greening data centers. In Proceedings of the International Conference on Parallel Processing Workshops (pp. 453-460). [5599105] https://doi.org/10.1109/ICPPW.2010.67

Non-invasive thermal modeling techniques using ambient sensors for greening data centers. / Jonas, Michael; Varsamopoulos, Georgios; Gupta, Sandeep.

Proceedings of the International Conference on Parallel Processing Workshops. 2010. p. 453-460 5599105.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Jonas, M, Varsamopoulos, G & Gupta, S 2010, Non-invasive thermal modeling techniques using ambient sensors for greening data centers. in Proceedings of the International Conference on Parallel Processing Workshops., 5599105, pp. 453-460, 2010 39th International Conference on Parallel Processing Workshops, ICPPW 2010, San Diego, CA, United States, 9/13/10. https://doi.org/10.1109/ICPPW.2010.67
Jonas M, Varsamopoulos G, Gupta S. Non-invasive thermal modeling techniques using ambient sensors for greening data centers. In Proceedings of the International Conference on Parallel Processing Workshops. 2010. p. 453-460. 5599105 https://doi.org/10.1109/ICPPW.2010.67
Jonas, Michael ; Varsamopoulos, Georgios ; Gupta, Sandeep. / Non-invasive thermal modeling techniques using ambient sensors for greening data centers. Proceedings of the International Conference on Parallel Processing Workshops. 2010. pp. 453-460
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