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An analysis of failure-related energy waste in a large-scale cloud environment

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An analysis of failure-related energy waste in a large-scale cloud environment. / Garraghan, Peter; Moreno, Ismael Solis; Townend, Paul et al.
In: IEEE Transactions on Emerging Topics in Computing, Vol. 2, No. 2, 30.06.2014, p. 166-180.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Garraghan, P, Moreno, IS, Townend, P & Xu, J 2014, 'An analysis of failure-related energy waste in a large-scale cloud environment', IEEE Transactions on Emerging Topics in Computing, vol. 2, no. 2, pp. 166-180. https://doi.org/10.1109/TETC.2014.2304500

APA

Garraghan, P., Moreno, I. S., Townend, P., & Xu, J. (2014). An analysis of failure-related energy waste in a large-scale cloud environment. IEEE Transactions on Emerging Topics in Computing, 2(2), 166-180. https://doi.org/10.1109/TETC.2014.2304500

Vancouver

Garraghan P, Moreno IS, Townend P, Xu J. An analysis of failure-related energy waste in a large-scale cloud environment. IEEE Transactions on Emerging Topics in Computing. 2014 Jun 30;2(2):166-180. Epub 2014 Feb 3. doi: 10.1109/TETC.2014.2304500

Author

Garraghan, Peter ; Moreno, Ismael Solis ; Townend, Paul et al. / An analysis of failure-related energy waste in a large-scale cloud environment. In: IEEE Transactions on Emerging Topics in Computing. 2014 ; Vol. 2, No. 2. pp. 166-180.

Bibtex

@article{e5080cbf0b6e418995615fb7fa1424a3,
title = "An analysis of failure-related energy waste in a large-scale cloud environment",
abstract = "Cloud computing providers are under great pressure to reduce operational costs through improved energy utilization while provisioning dependable service to customers; it is therefore extremely important to understand and quantify the explicit impact of failures within a system in terms of energy costs. This paper presents the first comprehensive analysis of the impact of failures on energy consumption in a real-world large-scale cloud system (comprising over 12 500 servers), including the study of failure and energy trends of the spatial and temporal environmental characteristics. Our results show that 88% of task failure events occur in lower priority tasks producing 13% of total energy waste, and 1% of failure events occur in higher priority tasks due to server failures producing 8% of total energy waste. These results highlight an unintuitive but significant impact on energy consumption due to failures, providing a strong foundation for research into dependable energy-aware cloud computing.",
author = "Peter Garraghan and Moreno, {Ismael Solis} and Paul Townend and Jie Xu",
year = "2014",
month = jun,
day = "30",
doi = "10.1109/TETC.2014.2304500",
language = "English",
volume = "2",
pages = "166--180",
journal = "IEEE Transactions on Emerging Topics in Computing",
issn = "2168-6750",
publisher = "IEEE Computer Society",
number = "2",

}

RIS

TY - JOUR

T1 - An analysis of failure-related energy waste in a large-scale cloud environment

AU - Garraghan, Peter

AU - Moreno, Ismael Solis

AU - Townend, Paul

AU - Xu, Jie

PY - 2014/6/30

Y1 - 2014/6/30

N2 - Cloud computing providers are under great pressure to reduce operational costs through improved energy utilization while provisioning dependable service to customers; it is therefore extremely important to understand and quantify the explicit impact of failures within a system in terms of energy costs. This paper presents the first comprehensive analysis of the impact of failures on energy consumption in a real-world large-scale cloud system (comprising over 12 500 servers), including the study of failure and energy trends of the spatial and temporal environmental characteristics. Our results show that 88% of task failure events occur in lower priority tasks producing 13% of total energy waste, and 1% of failure events occur in higher priority tasks due to server failures producing 8% of total energy waste. These results highlight an unintuitive but significant impact on energy consumption due to failures, providing a strong foundation for research into dependable energy-aware cloud computing.

AB - Cloud computing providers are under great pressure to reduce operational costs through improved energy utilization while provisioning dependable service to customers; it is therefore extremely important to understand and quantify the explicit impact of failures within a system in terms of energy costs. This paper presents the first comprehensive analysis of the impact of failures on energy consumption in a real-world large-scale cloud system (comprising over 12 500 servers), including the study of failure and energy trends of the spatial and temporal environmental characteristics. Our results show that 88% of task failure events occur in lower priority tasks producing 13% of total energy waste, and 1% of failure events occur in higher priority tasks due to server failures producing 8% of total energy waste. These results highlight an unintuitive but significant impact on energy consumption due to failures, providing a strong foundation for research into dependable energy-aware cloud computing.

U2 - 10.1109/TETC.2014.2304500

DO - 10.1109/TETC.2014.2304500

M3 - Journal article

VL - 2

SP - 166

EP - 180

JO - IEEE Transactions on Emerging Topics in Computing

JF - IEEE Transactions on Emerging Topics in Computing

SN - 2168-6750

IS - 2

ER -