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Noise Aware Scheduling in Data Centers

Published: 01 June 2016 Publication History

Abstract

As the demand for large scale computing is rapidly increasing to serve billions of users across the world, more powerful and densely packed server configurations are being used. Often in developing countries, and in small and medium enterprises, it is hard to place such servers in sound-proof server rooms. Hence, servers are typically placed in close proximity to employees. The noise from the cooling fans in servers adversely affects employees' health, and reduces their productivity. In this paper, we provide a framework for computer architects to measure the acoustic profile in a data center along with the temperature profile, and estimate the sound power levels at points of interest. Additionally, we studied the noise levels obtained upon using algorithms targeted at homogenizing the temperature profile. We found that these algorithms result in high noise levels, sometimes above the permissible levels. So, we propose two heuristics to redistribute workloads in a data center such that noise can be reduced at certain target locations. We obtain a noise reduction of 2-13 dB when compared with uniform workload distribution, and upto 16 dB as compared to temperature aware workload placement, with a reduction of at least 5-6 dB in 75% of the cases. The performance overhead is limited to 1%.

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  • (2024)Acoustics Analysis of Air and Hybrid Cooled Data Center2024 23rd IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm)10.1109/ITherm55375.2024.10709368(1-11)Online publication date: 28-May-2024
  • (2022)Potential Health Impacts of Gamma-Frequency Sound in Server RoomWSEAS TRANSACTIONS ON SIGNAL PROCESSING10.37394/232014.2022.18.718(51-59)Online publication date: 2-Apr-2022
  • (2022)Multiphysics Thermal-Acoustic Modeling of a Server in a Data Center2022 21st IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (iTherm)10.1109/iTherm54085.2022.9899616(1-7)Online publication date: 31-May-2022

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cover image ACM Conferences
ICS '16: Proceedings of the 2016 International Conference on Supercomputing
June 2016
547 pages
ISBN:9781450343619
DOI:10.1145/2925426
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 June 2016

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View all
  • (2024)Acoustics Analysis of Air and Hybrid Cooled Data Center2024 23rd IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm)10.1109/ITherm55375.2024.10709368(1-11)Online publication date: 28-May-2024
  • (2022)Potential Health Impacts of Gamma-Frequency Sound in Server RoomWSEAS TRANSACTIONS ON SIGNAL PROCESSING10.37394/232014.2022.18.718(51-59)Online publication date: 2-Apr-2022
  • (2022)Multiphysics Thermal-Acoustic Modeling of a Server in a Data Center2022 21st IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (iTherm)10.1109/iTherm54085.2022.9899616(1-7)Online publication date: 31-May-2022

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