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Profiling-based energy-aware recommendation system for cloud platforms
Citation
Amin, MB and Hussain, S and Han, M and Kang, BH and Ik, YY and Jun, S and Lee, S, Profiling-based energy-aware recommendation system for cloud platforms, Lecture Notes in Electrical Engineering 330: Proceedings of the International Conference on Computer Science and its Applications (CSA 2014) - Ubiquitous Information Technologies, 17-19 2014, Guam, pp. 851-859. ISBN 978-3-662-45401-5 (2015) [Refereed Conference Paper]
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Copyright Statement
Copyright 2015 Springer-Verlag Berlin Heidelberg
Official URL: http://doi.org.10.1007/978-3-662-45402-2 _121
DOI: doi:10.1007/978-3-662-45402-2_121
Abstract
With rise in energy costs, operational costs for managing
cloud infrastructures are also increasing. This is an opportunity to present
an energy-aware recommendation system for cloud platforms. This paper
presents one such system that implements a pure software approach for
generating energy efficient recommendations for cloud infrastructures.
This system performs offline profiling of cloud nodes to generate energyaware
profiles which are later matched with runtime usage feed. According
to the real-time data, energy efficient profile is matched and provided
to provisioning for implementation; consequently, achieving an energy efficient
cloud platform.
Item Details
| Item Type: | Refereed Conference Paper |
|---|---|
| Keywords: | energy-efficiency, energy-aware, cloud computing, ganglia, profiling |
| Research Division: | Information and Computing Sciences |
| Research Group: | Data Format |
| Research Field: | Data Format not elsewhere classified |
| Objective Division: | Information and Communication Services |
| Objective Group: | Information Services |
| Objective Field: | Information Services not elsewhere classified |
| UTAS Author: | Kang, BH (Professor Byeong Kang) |
| ID Code: | 109295 |
| Year Published: | 2015 |
| Deposited By: | Information and Communication Technology |
| Deposited On: | 2016-06-07 |
| Last Modified: | 2018-01-18 |
| Downloads: | 0 |
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