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Calculating the minimum bounds of energy consumption for cloud networks

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HPC-UGent: the central High Performance Computing infrastructure of Ghent University
Abstract
This paper is aiming at facilitating the energy-efficient operation of an integrated optical network and IT infrastructure. In this context we propose an energy-efficient routing algorithm for provisioning of IT services that originate from specific source sites and which need to be executed by suitable IT resources (e. g. data centers). The routing approach followed is anycast, since the requirement for the IT services is the delivery of results, while the exact location of the execution of the job can be freely chosen. In this scenario, energy efficiency is achieved by identifying the least energy consuming IT and network resources required to support the services, enabling the switching off of any unused network and IT resources. Our results show significant energy savings that can reach up to 55% compared to energy-unaware schemes, depending on the granularity with which a data center is able to switch on/off servers.
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Please use this url to cite or link to this publication:

Chicago
Buysse, Jens, Konstantinos Georgakilas, Anna Tzanakaki, Marc De Leenheer, Bart Dhoedt, Chris Develder, and Piet Demeester. 2011. “Calculating the Minimum Bounds of Energy Consumption for Cloud Networks.” In IEEE International Conference on Computer Communications and Networks. New York, NY, USA: IEEE.
APA
Buysse, Jens, Georgakilas, K., Tzanakaki, A., De Leenheer, M., Dhoedt, B., Develder, C., & Demeester, P. (2011). Calculating the minimum bounds of energy consumption for cloud networks. IEEE International Conference on Computer Communications and Networks. Presented at the 20th International conference on Computer Communications Networks (ICCCN 2011), New York, NY, USA: IEEE.
Vancouver
1.
Buysse J, Georgakilas K, Tzanakaki A, De Leenheer M, Dhoedt B, Develder C, et al. Calculating the minimum bounds of energy consumption for cloud networks. IEEE International Conference on Computer Communications and Networks. New York, NY, USA: IEEE; 2011.
MLA
Buysse, Jens, Konstantinos Georgakilas, Anna Tzanakaki, et al. “Calculating the Minimum Bounds of Energy Consumption for Cloud Networks.” IEEE International Conference on Computer Communications and Networks. New York, NY, USA: IEEE, 2011. Print.
@inproceedings{2029575,
  abstract     = {This paper is aiming at facilitating the energy-efficient operation of an integrated optical network and IT infrastructure. In this context we propose an energy-efficient routing algorithm for provisioning of IT services that originate from specific source sites and which need to be executed by suitable IT resources (e. g. data centers). The routing approach followed is anycast, since the requirement for the IT services is the delivery of results, while the exact location of the execution of the job can be freely chosen. In this scenario, energy efficiency is achieved by identifying the least energy consuming IT and network resources required to support the services, enabling the switching off of any unused network and IT resources. Our results show significant energy savings that can reach up to 55\% compared to energy-unaware schemes, depending on the granularity with which a data center is able to switch on/off servers.},
  author       = {Buysse, Jens and Georgakilas, Konstantinos and Tzanakaki, Anna and De Leenheer, Marc and Dhoedt, Bart and Develder, Chris and Demeester, Piet},
  booktitle    = {IEEE International Conference on Computer Communications and Networks},
  isbn         = {9781457706387},
  issn         = {1095-2055},
  language     = {eng},
  location     = {Maui, HI, USA},
  pages        = {7},
  publisher    = {IEEE},
  title        = {Calculating the minimum bounds of energy consumption for cloud networks},
  url          = {http://dx.doi.org/10.1109/ICCCN.2011.6005778},
  year         = {2011},
}

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