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

50Citations
Citations of this article
36Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

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

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free