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Profiling-based energy-aware recommendation system for cloud platforms

conference contribution
posted on 2023-05-23, 11:11 authored by Muhammad Bilal AminMuhammad Bilal Amin, Hussain, S, Han, M, Byeong KangByeong Kang, Ik, YY, Jun, S, Lee, S
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 energy-aware 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.

History

Publication title

Lecture Notes in Electrical Engineering 330: Proceedings of the International Conference on Computer Science and its Applications (CSA 2014) - Ubiquitous Information Technologies

Volume

330

Editors

JJ (JH) Park, I Stojmenovic, HY Jeong, G Yi

Pagination

851-859

ISBN

978-3-662-45401-5

Department/School

School of Information and Communication Technology

Publisher

Springer International

Place of publication

Switzerland

Event title

International Conference on Computer Science and its Applications (CSA 2014) - Ubiquitous Information Technologies

Event Venue

Guam

Rights statement

Copyright 2015 Springer-Verlag Berlin Heidelberg

Repository Status

  • Restricted

Socio-economic Objectives

Information services not elsewhere classified

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    University Of Tasmania

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