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Profiling-based energy-aware recommendation system for cloud platforms


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 2015 Springer-Verlag Berlin Heidelberg

Official URL: _121

DOI: doi:10.1007/978-3-662-45402-2_121


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

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