Open AccessDissertation
Supporting energy-awareness for cloud users
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TLDR
This thesis proposes to include cloud users in the energy optimization as a means to reduce datacenters energy consumption by delivering energy related information to raise awareness and by providing means of actions.Abstract:
Cloud datacenters consume large amounts of energy and it becomes necessary to reduce their consumption due to current climate changes. Although energy optimization propositions exist, they do not take into account end-users. This thesis proposes to include cloud users in the energy optimization as a means to reduce datacenters energy consumption. The inclusion is done, first, by delivering energy related information to raise awareness, and second, by providing means of actions. Contributions are located at IaaS and PaaS cloud layers. Our results show that users tolerant to performance variation (e.g. delay in obtaining execution results) allow to reduce datacenters energy consumption.read more
Citations
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Proceedings ArticleDOI
A CO2 emissions accounting framework with market-based incentives for Cloud infrastructures
David Margery,David Guyon,Anne-Cécile Orgerie,Christine Morin,Gareth Francis,Charaka Palansuriya,Kostas Kavoussanakis +6 more
TL;DR: This paper shows the architecture of the proposed CO2 emissions accounting framework giving flexibility to the Cloud providers, predictability to the users and allocating all the carbon costs to the Users.
References
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Journal ArticleDOI
Basic Local Alignment Search Tool
TL;DR: A new approach to rapid sequence comparison, basic local alignment search tool (BLAST), directly approximates alignments that optimize a measure of local similarity, the maximal segment pair (MSP) score.
Book
Genetic algorithms in search, optimization, and machine learning
TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.
Genetic algorithms in search, optimization and machine learning
TL;DR: This book brings together the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields.
Journal ArticleDOI
Mind the Gap: why do people act environmentally and what are the barriers to pro-environmental behavior?
Anja Kollmuss,Julian Agyeman +1 more
TL;DR: A number of theoretical frameworks have been developed to explain the gap between the possession of environmental knowledge and environmental awareness, and displaying pro-environmental behavior as discussed by the authors, but no definitive explanation has yet been found.