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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, SWith 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 TechnologiesVolume
330Editors
JJ (JH) Park, I Stojmenovic, HY Jeong, G YiPagination
851-859ISBN
978-3-662-45401-5Department/School
School of Information and Communication TechnologyPublisher
Springer InternationalPlace of publication
SwitzerlandEvent title
International Conference on Computer Science and its Applications (CSA 2014) - Ubiquitous Information TechnologiesEvent Venue
GuamRights statement
Copyright 2015 Springer-Verlag Berlin HeidelbergRepository Status
- Restricted