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Conference Papers Year : 2017

GPaaScaler: Green Energy aware Platform Scaler for Interactive Cloud Application

Abstract

Recently, smart usage of renewable energy has been a hot topic in the Cloud community. In this vein, we have recently proposed the creation of green energy awareness around Interactive Cloud Applications, but in static amount of underlying resources. This paper adds to previous ones as it considers elastic underlying infrastructure, that is, we propose a PaaS solution which efficiently utilize the elasticity nature at both infrastructure and application levels, by leveraging adaptation in facing to changing condition i.e., workload burst, performance degradation, quality of energy, etc. While applications are adapted by dynamically re-configuring their service level based on performance and/or green energy availability, the infrastructure takes care of addition/removal of resources based on application’s resource demand. Both adaptive behaviors are implemented in separated modules and are coordinated in a sequential manner. We validate our approach by extensive experiments and results obtained over Grid’5000 test bed. Results show that, application can reduce significant amount of brown energy consumption by 35% and daily instance hour cost by 37% compared to a baseline approach when green energy aware adaptation is considered.
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Dates and versions

hal-01650136 , version 1 (28-11-2017)

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Md Sabbir Hasan, Frederico Alvares de Oliveira Jr., Thomas Ledoux. GPaaScaler: Green Energy aware Platform Scaler for Interactive Cloud Application. UCC 2017 : 10th International Conference on Utility and Cloud Computing, Dec 2017, Austin, United States. pp.79-89, ⟨10.1145/3147213.3147227⟩. ⟨hal-01650136⟩
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